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U.K. Police Vehicle Crashes
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Investigation of Road Traffic Incidents (RTI’s) involving police vehicles, 1998
– 2001: Identifying common factors and the lessons to be learned Dr
David Best Head
of Research
POLICE
COMPLAINTS AUTHORITY 10 GREAT GEORGE ST LONDON
SW1P 3AE May
2002 FATAL
PURSUIT Investigation
of Road Traffic Incidents (RTI’s) involving police vehicles, 1998 -
2001: Identifying common factors and the lessons to be learned Published
by: Police
Complaints Authority 10
Great George Street London
SW1P
3AE Tel:
020-7273 6450 www.pca.gov.uk ©
Crown Copyright 2002 This
material may be freely reproduced except for sale or advertising
purposes. ISBN
0-9533157-8-9 Price
£5.00
Acknowledgements I
would like to thank Gareth Basten and Emma Brown from the research
department of the PCA for their considerable efforts in gathering the
materials for this report. Particularly thanks are also due to the
members of the PCA for their support and guidance with this work,
especially Diane Hughes and Anne Boustred whose patience and
commitment proved to be of inestimable value. Finally, I would like to
thank the caseworkers of the PCA for their patience when I
commandeered their work
and the expert input from the Metropolitan Police Service, from
Professor Geoffrey Alpert for his comments and advice and Deputy Chief
Constable Bill Brereton from the Association of Chief Police Officers
for his considerable input.
Executive summary Key findings To
address the marked increases in road traffic collisions referred to
the PCA (particularly relating to police pursuits), we investigated 85
cases that occurred between 1998 and 2001 which resulted in a total of
91 fatalities. The main findings were that:
Why
is this area worth investigating? The
push by the Police Complaints Authority to address the issue of road
traffic collisions is motivated by the marked increase in voluntary
referrals from forces in recent years. In the first nine months of
this year there have been a total of 42 incidents (involving 35 deaths
and 17 serious injuries), including 30 deaths from pursuits (resulting
from 24 separate incidents). Thus
the number of deaths from pursuits supervised by the PCA has risen
from 9 in 1997/98 to 30 in the first nine months of 2001/2002 (see
Figure1).
Figure
1: Number of fatalities from pursuits (1997/98-2001/02) The
aim of the current investigation was to look at road traffic
collisions referred to the PCA in recent years in a systematic way to
assess what patterns emerge and what lessons can be learned that might
prevent such incidents from occurring in the future. The evidence presented would suggest that, while the police
have some very difficult decisions to make in short periods of time
around public safety and the prevention of crime, many of these
incidents are potentially preventable, either by changes in force
policy or by proactive measures designed to bring out safe and
effective resolution of such incidents. What
is the project building on? There
has been relatively little systematic research work done in this area,
particularly in the UK, and so we are often reliant on making
inferences from American research, with all the pitfalls this incurs
in terms of reliability and relevance. One of the few UK studies,
published by the Home Office in 1997, examined 770 police vehicle
accidents resulting in serious injury (39% in pursuits/follows, 29% in
routine patrols and 23% in emergency responses). The study found that
around one in six pursuits were being undertaken by drivers not
trained to that level, and a similar proportion in response situations
where emergency equipment had not been used. The authors also found
that it was police drivers at the lower levels of training who were
far more likely to actually make contact with other vehicles during
these incidents. However, this study has been superseded by subsequent
policy initiatives (such as the Lind report) and so its current
relevance may be limited. Thus,
we have to turn to US research, albeit aware of its limitations, in
attempting to provide a more recent evidence base. A policy change in
Miami-Dade county in 1992 regarding the regulation of pursuits from
‘at the police driver’s discretion’ to ‘for violent felonies
only” led to a 92% reduction in the frequency of pursuits within one
year, with a commensurate reduction in injuries and no evidence of
increase in rates of fleeing or in the total volume of crime. In
contrast when Omaha increased the permissiveness of their pursuit
policy in 1993 to ‘at the police driver’s discretion’, there was
a 600% increase in pursuits within one year – suggesting that there
is a close link between officer discretion permitted and the total
volume of pursuits. However, it is not possible from these studies to
infer what the effects were on the total detection rates of crime or
whether this change became public knowledge and so affected the
decision-making of criminals and others who may flee. Further
US evidence suggests that the riskiness of pursuits can also be
assessed actuarially – and that the risk of personal injury is
doubled when more than one police vehicle is involved, and
significantly increased for speeds of more than 65 mph and in built-up
residential areas. This is particularly problematic when, as has been
estimated, more than 80% of pursuits may result from perceived traffic
offences and when more than half of all collisions resulting occur
within two minutes of the initiation of the chase. Although it is
clear that engaging in police pursuits carries increased risk to the
public and those involved, the duty of the police to apprehend
criminals and to prevent dangerous driving provides the dilemma that
is at the heart of the current research project. How
was the study carried out and with what objectives? The
aim of the study was to examine factors that underlie the increase in
serious injury or fatal road traffic incidents (RTIs) referred to the
PCA between 1998 and 2001. The study takes a sample of 85 cases that
have been referred in this period – 64 classified as pursuit/follows
and 21 other serious injury RTIs – and examines antecedents to the
events (including driving characteristics of each participant), the
context of the collision and aspects of the subsequent investigation
– to attempt to identify lessons that can be learned, related both
to policy and practice, that may help to arrest the worrying and
tragic trend that provided the impetus for this work. What
were the main findings of the study? In
total the 85 cases involved 91 fatalities although 12 of the incidents
were serious injury only, with the majority of the incidents occurring
at night in towns and on Saturday or Sundays. The majority of the
incidents also occurred in 30 mph speed limit areas and when the road
was either quiet or almost deserted. The main differences between the
events classed as pursuit/follows (n=64) and the other incidents
(emergency responses, standard patrol incidents and officers coming
off duty)(n=21) were that the speeds were higher in the
pursuits/follows, that the drivers involved had more years driving
experience than in the other kinds of incidents and that each event
resulted in a greater number of fatalities. The last of these findings
may be a consequence of a differential threshold effect for referring
cases to the PCA (ie pursuits are only referred if there are
fatalities involved, whereas non-pursuits may be referred when less
serious injuries occur), or from the lower speeds involved. In
the cases where it was possible to make a distinction between events
described as ‘pursuits’ and those defined as ‘follows’ by the
Investigating Officer (IO), there were very few significant
differences, with the most marked mean differences being that, while
‘pursuits’ had a higher average speed, the mean distance between
the vehicles was lower in ‘safe follows’, that pursuits were more
likely to involve stolen cars and that there were attempts to stop the
target vehicle. The most striking finding, however, was that there
were no identifiable behavioural markers that distinguished the two.
Furthermore, it was not possible to make this distinction in a number
of cases, and the terms were used interchangeably in a small number of
the reports. The
data supported the Home Office work in suggesting that the collisions,
when they occur in these incidents, rarely involve police vehicles
colliding with other vehicles, with the most frequent outcome that the
target car collides with either a fixed object (such as a tree) or
with another vehicle or pedestrian. This however, is a double-edged
sword for the police – while this means they are well enough trained
rarely to collide, it means that this is not a good indicator of the
riskiness of the situation. It is the lower skill level, that of the
pursued driver, that should be accounted for in assessing risk, not
the skills of the police driver. In contrast, for the vast majority of
the non-pursuit/follow cases (19/25) the referral results from a
collision involving the police vehicle. With
regard to the suspect vehicle in the pursuit/follow incidents, this
was stolen in 29/64 incidents, and the car had significant flaws in
22/64 of the incidents. Of the suspect car drivers who were alcohol
tested (n=48), 56.3% were over the legal alcohol limit, while around
one quarter of those tested (7/30) were positive for cannabis.
Forty-five of fifty-one drivers for whom information was available had
a mean of 6.3 convictions each, further indicating that this group
were often criminally involved, although this often would not be known
to the officers at the time of the stop and would not necessarily have
been relevant to the reason for the stops. Finally, 30 of 42 for whom
the data were available had not been wearing seatbelts at the time of
the collision, increasing the risk of injury during the pursuit/follow
although this would not necessarily have been known to the police
officers, other than the two incidents where this was one of the
reasons for initiating the pursuit or follow. This
means that the police were often correct in their suspicions about the
behaviour of the suspect vehicle when they failed to stop, and that
relatively few involved completely ‘innocent’ drivers. However,
this is a question of proportionality – while the police drivers may
well be correct in wishing to stop the suspect vehicle, the extent of
this objective should be weighed against the risk to both vehicles and
all other road users. For this reason, the report recommends that the
decision to initiate a pursuit or follow should be controlled
centrally and that risk assessment and decision-making (as evidenced
by clear communications with the control room) are explicit and
ongoing over the course of the incident. It is not the aim or desire
of the authors to end pursuits, rather to reduce the risk to road
users by reducing the discretion of individual police drivers and
increasing the role of police managers. Information
on the characteristics of the police drivers was gathered far less
consistently, possibly because the police vehicles were rarely
involved in the actual pursuit/follow collisions, and one of the major
recommendations of the study is that this information deficit should
be rectified. Where this information was provided, over three-quarters
of the drivers in the study follow/pursuits had been pursuit trained
and they had been driving police vehicles for an average of 6.4 years.
There are similar limitations around the characteristics of police
passengers and around the experience, role and training of the control
room staff involved, and, more generally, about the nature and quality
of communication and risk assessment. Reasons
for initiating the pursuit/follows were grouped into three broad
groups – traffic violations (n=36), serious, non-traffic crime
(n=22), and other events (n=6), which consisted of believed drunk
driving and routine stops. It
is of concern that the speeds involved, the distances between the
police vehicle and the target vehicle and the number of fatalities
accruing did not differ between these events. The fact that the
reasons for initiating were so variable, and in many cases led to far
greater risk taking on the part of the driver of the target vehicle,
provokes questions of escalation and proportionality where for
relatively minor offences, major risk-taking behaviours result. In
effect, what is demonstrated is that many pursuit/follows involve
poorly trained, often unqualified or disqualified drivers, a
significant proportion of whom are under the influence of alcohol or
illicit drugs, and who feel provoked to engage in high-risk driving
behaviours, often for relatively minor traffic offences. Furthermore,
their refusal to stop may be taken by the officers, often rightly, as
an indication that they have engaged in other forms of criminal
behaviour. Main recommendations The
main recommendations from the study are that: 1.
The current definitions of pursuit/follow are not helpful and
can often be misleading and should be scrapped, to be replaced by more
behaviourally determined and measurable categories. The definition of
an authorised pursuit would be: “Where the police identify a failure
to stop, and respond leading to an increase in risk taking (evidenced
by breaches of road traffic law) by both police and suspect vehicle,
and where emergency equipment is used as part of a clear plan to bring
the suspect vehicle to a safe stop. All other increases in risk taking
behaviour initiated by police responses will be classed as
unauthorised pursuits.” 2.
Significant increases in police training are required,
particularly in the area of communication, and it is recommended that
specific training is provided for delivering commentaries for police
vehicle passengers. 3.
Training and monitoring are required in the adequacy of risk
assessment, and its evolution over the course of pursuit/follows. This
would help to ensure that escalation of incidents does not occur
unnecessarily and that vehicles are not pursued where the risk to road
users or the general public is disproportionate to the original reason
for attempting to stop a vehicle or emerging reasons. 4.
If a pursuit/follow is assessed to be too risky or too
disproportionate for the original offence, the driver should pull over
to the side of the road and should not continue to follow the target. 5.
There is considerable need for Investigating Officers, when
producing reports for PCA supervision, to be consistent in the type of
information they produce and a pro forma that constitutes a minimum
requirement for this is provided as Appendix 2 of the main report. 6.
Police force managers need to monitor and manage
pursuit/follows more effectively for the centre, increasing levels of
control over high-risk drivers and, separately, monitoring the
pursuit/follow histories of individual officers. 7.
The latter point is linked to a general requirement for forces
to improve the quality of their data collection and management in this
area – it is most unhelpful that it is not possible to work out the
risks associated with pursuit/follows as some forces do not gather or
provide information in this area. 8.
IOs should be particularly clear that pursuing in convoys or in
unmarked (cars which have no concealed emergency equipment) is wholly
unacceptable, and exceptional circumstances demonstrated, if this is
not to result in disciplinary action for the officers involved. The
cases included in the study clearly indicate that in only a very few
cases was there flagrant disregard for the guidance in place –
however such instances, involving pursuit/follows in completely
unmarked cars or involving more than two police vehicles should not be
accepted by the PCA or by police investigators. In the majority of
other cases, however, the officers were asked to make complex
judgements in a very short space of time, in which the risk to the
users of the highway are weighed against the public well-being issues
related to crime detection and public safety. The core recommendation
of this report is that this decision is, where possible, made explicit
and managed by the police control room, to reduce individual officer
discretion and to improve the centralised management of police chases.
The increase in referred fatal road traffic collisions cannot be
reversed overnight but can be achieved through an effective management
approach based on adequate communication, risk assessment and
evaluation procedure undertaken by officers. Overview
and objectives In
the Chairman’s Foreword to the 2000/2001 Annual Report of the
Independent Police Complaints Authority, Sir Alistair Graham pointed out
that “there has been a 178 per cent increase in fatalities involving
pursuits over four years, which is totally unacceptable”. While there
may be some debate about the provenance of this data, there has been a
marked increase in such referred cases, largely resulting from a
dramatic increase in the number of police pursuits and chases that
result in serious injury or death that are referred to the PCA. He went
on to argue that “Police forces must take urgent steps to meet the
rising tide of public concern” while the main body of the report
asserts that “there are still reports of officers participating in
pursuits or responding to emergency calls, with inadequate training and
using inappropriate vehicles”. The
rise in RTI’s generally and in pursuits has continued into the most
recent year (2001/2002) in spite of the Chairman’s comments, with 44
fatalities resulting from pursuits and follows involving the police.
This represents an increase of 489% in the number of deaths resulting
from pursuits referred to the PCA in a five-year period (see Figure 1
below). While increased awareness of these issues may have led to
changes in reporting practices by police forces, the trend is
sufficiently dramatic and the numbers sufficiently large that close
scrutiny is required and remedial action urgently needed. It is also
worth noting that the number of fatalities from non-pursuits in the same
period has remained relatively consistent (between 6 and 9 in each of
the last four years), that the rise in pursuit deaths cannot be regarded
as reflecting an overall increase in police road use or general
reporting of traffic incidents to the PCA.
Figure
1: Number of fatalities from pursuits (1997/98-2001/02) The
aim of the current research investigation is an attempt to make sense of
these figures and to work out what can be done to arrest this alarming
trend which has seen not only an increase in pursuit deaths but an
increase at an increasing rate, in spite of the production and
implementation of the Lind Report and the subsequent implementation
assessment reported in the Cullen Report. The research evidence outlined
below is an initial attempt to make sense of this dramatic and
unacceptable rise and to offer recommendations on how the current trend
can be reversed. Literature review Before
outlining the research method and results, it is important to
contextualise the project in terms of relevant pieces of research and
policy that precede it which have implications either for the definition
and understanding of RTI’s or which have demonstrated empirical
salience to the current research question. Much of the limited research
evidence to date comes from the United States. This creates two
difficulties – first , that there are major limitations in translating
US work to a UK context and second that it suggests that this issue has
not been sufficiently prioritised by researchers in the US and the UK.
However, the comparative literature does identify important issues that
are pertinent to the current investigation. International
evidence base Risks
and dangers associated with police pursuits
“Research
on pursuit policy development, pursuit outcome, evaluation of legal
decisions, and civil liability has identified four critical factors on
which officers and supervisors must base decisions, to pursue or not to
pursue (Alpert 1993, Fridell 1992): the known violation, the area in
which the chase occurred, traffic conditions and weather conditions”
(Alpert, 1997, p348). As the international literature estimates that 75%
of pursuits resulted in the capture of the suspect, 40% in an accident,
20% resulted in an injury and 1% with a death (Alpert and Fridell, 1992;
Alpert et al, 1996; Auten, 1994; Falcone, Wells and Charles, 1992), it
is critical to consider what the factors are that motivate pursuits and
what the implications are for both crime and for the safety of officers,
of the offenders and for members of the general public. Among
5 US studies between 1982 and 1992, the evidence suggests that 68-77% of
pursuits ended in the arrest of the suspect. Among those that examined
termination factors, 18-36% of the suspects voluntarily terminated by
stopping and surrendering. Most of the pursuits were of short duration
and distance. The pursuit accident rates ranged from 26-41%, injuries
occurred in 9-17% of the accidents and fatalities in 0-3% of cases. In
an analysis of rates of injury and fatal accidents in Michigan state
police pursuits, Payne and Fenske (1994) reported preliminary findings
in one state which indicated that police underreport pursuits by a
factor of two and it may be as high as 10 (Payne, 1996). Falcone et al
(1992) state that the under-estimations may be by a factor of 5-15
times, which has the paradoxical effect of increasing the perceived
riskiness of pursuits by over-stating the ratio of injury to event.
Crew,
Fridell and Pursell (1995) report that 38% of the pursuits initiated for
a traffic violation result in a crash. The pursuits that have the
greatest likelihood of resulting in personal injury or death are
pursuits of suspected felons (17%) and drunk drivers (14%). The risk is
also mediated by the context of the pursuit - the risk of personal
injury was significantly greater according to Alpert (1997) when more
than one unit was involved (odds ratio of 2.03); 1.75 times greater for
pursuits in commercial rather than residential areas, and 1.78 higher
when the speeds exceeded 65 mph. This led Alpert to conclude that “In
general, when pursuits involve more than one unit, are in a commercial
rather than a residential area, and increase in speed to greater than
65mph, the odds of injury increase dramatically” (Alpert, 1997, p40).
Although these findings are dramatic, it is important to reiterate that
these findings refer to a country with a different culture, where the
physical layout of roads differs, and where police policy and activity
are not the same as those in the UK. Furthermore, the studies do not
measure nor account for the increased risk to the public if pursuits are
discontinued and either serious criminals are allowed to escape or drunk
drivers are not intercepted and arrested. Definitions and factors
around initiation of police pursuits A
US National Institute of Justice (1996) research brief concluded that
“the perceived severity of the offence committed by the fleeing
suspect is the major factor in determining whether or not police should
engage in or continue a chase. Therefore, policy might focus first on
the type of offence and second on risks to the public, especially
traffic patterns and congestion. A balance of these variables indicates
that an appropriate policy would limit chases to violent felons …”.
This approach has been adopted in Miami-Dade since 1992 when Miami-Dade
police force restricted pursuits to ‘violent felonies only’. The
consequence of this policy change was an 82% reduction in the rate of
pursuits leading to commensurate reductions in collisions, injuries and
fatalities, with no reported increases in either crime rates or the
number of suspects fleeing from police. Although anecdotal reports from
the UK would suggest that restrictions on pursuits have resulted in
problems associated with increased adolescent ‘joy-riding’, the lack
of adequate empirical support for this typifies the inadequacies of a
policy that is not shaped by evidence or evaluation. The
USNIJ report also concluded that unmarked vehicles should not be allowed
to engage in pursuits – and that they should not be allowed to violate
traffic laws. However, one of the major limitations on the research was
that it produced no research evidence on what proportion of those
directed to stop actually attempt to flee (the ‘rabbit theory’).
Separately, Canadian courts have also concluded that violation of
traffic laws while conducting a pursuit without emergency equipment can
constitute negligence. This
is strongly linked to the definition of what constitutes a pursuit and
how these issues are defined in policy terms. “A very strong consensus
appears to be emerging around the importance of clear and explicit
policies to guide pursuit decision making, and training to ensure
effective implementation of the policies.” (Royal Canadian Mounted
Police Report, 1992). International Association of Chiefs of Police (IACP)
has issued a model pursuit policy (1989) which requires: 1.
purpose 2.
policy 3.
definition 4.
procedures Alpert
and Dunham (1990) recorded the demographic characteristics of pursuit
suspects in southern Florida and found that 97% were male, with a mean
age of 23.5 years, and that 28% were white, 50% were black and 21% were
Hispanic. Brewer and McGrath’s (1991) review of police files in south
Australia characterised suspects as predominantly white, mainly
unemployed or unskilled and had been drinking. Many had extensive
criminal records but mainly for traffic, registration and licensing
offences. Black (1995), in a review of pursuit suspects in Washington,
concluded that “Only 11.8% of arrested suspects had fewer than three
prior arrests, whereas 67.3% had more than three felony arrests … The
profile that emerges is that those arrested in pursuits are hard core
criminals” (Black, 1995). Dunham
et al (1998) conducted 144 interviews with individuals who had recent
experience of being involved in a vehicular pursuit,
(94% of this group were male, with a mean age of 26.2 years).
From the total of 146 pursuits described,
30% were terminated when the suspect either gave themselves up or
stopped and ran on foot, 30% because the suspect’s vehicle crashed,
25% reported that they got away at least in the short term and 10% were
concluded by police interventions. 42% of the suspects said they were
impaired with either alcohol or drugs at the time of the pursuit. When
asked why they had fled, 32% reported that it was because they were
driving a stolen car, 27% said they were driving with a suspended
driver’s license and 27% were running from a crime scene or to avoid
an arrest, 21% said they were running because they did not want to face
the police under the influence of alcohol or drugs and 21% were afraid
of being beaten. Six factors predicted 77% of the variance in
suspects’ willingness to take extreme risks to avoid the police: ·
Previously having been
caught by the police ·
Thoughts about the
punishment ·
Concerns for their own
safety ·
They were driving under
the influence ·
Concern for the safety of
others ·
To avoid arrest The
authors concluded that understanding the interaction patterns between
officers and suspects becomes central to controlling the negative
outcomes of pursuits. Dunham et al (op cit) argued that if the officer
continued to pursue, it was likely that the suspect would continue to
flee. This then places considerable emphasis on the decision-making
skills of individual officers, based partly on training and partly on
the policy basis around which these decisions should be made. Training and policy for
pursuits There
is also clear evidence from British Columbia that refresher training has
a significant, although time-limited, impact on officer-responsible
accidents, which go beyond those associated with pursuits and follows.
Part of this emphasis on training and policy definition is attitudinally
focused and recognises the key role the officer plays in enacting the
procedure and guidance. As Alpert (1999) has argued, “Police officers
must be able to objectively weigh the risks to themselves, the public
and the suspect, throughout a pursuit” (Alpert, 1999, p31). Later in
the same report, Alpert (op cit) concluded that “pursuit training
which balances technical skill with decision-making and risk assessment
skills is essential and can be designed to support policy objectives
that limit the use of police pursuits” (Alpert, 1999, p33). What
makes this so important is the key question of proportionality - Alpert
(1992) estimated that 80% of police pursuits involve only traffic
violations, which shifts the calculus about the type and extent of risk
taking that is acceptable and the possible consequences for undertaking
the pursuit or follow. Given that many of the problems that arise may
result from uncertainties over the creation and implementation of
definitions, the prospective and retrospective categorisation of events
and the share of responsibility between the individual officer and the
police supervisor, the aim of training should be to make explicit these
potential areas of concern. This
links closely to issues of command and the US National Institute of
Justice – Pursuit Management Task Force (Research Preview, 1998)
reported on a survey of 419 heads of law enforcement agencies. This
group identified four key phases of a pursuit: 1.
Pre-pursuit phase: Time between the officer’s decision to stop
a vehicle and the officer’s recognition of the vehicle’s attempt to
flee (this is likely to be a key area for future research investigation) 2.
Communication phase: Period between the start of the pursuit and
the arrival of assisting officers and resources 3.
Resources phase: Period between the arrival of assisting
officers/resources and an attempt to terminate an in-progress pursuit 4.
Post-pursuit phase: Period encompassing any actions that occur
after the suspect’s vehicle has stopped fleeing or has eluded capture In
a separate piece of work for the US National Institute of Justice on
‘Police Pursuits: policies and training’, Alpert (1997) gathered
data from 308 police agencies on the number of pursuits officers had
engaged in during 1993, supplemented by case records of more than 1,000
pursuits conducted by Metro-Dade Police (Florida), 229 in Omaha,
Nebraska and 17 in Aiken, South California. They found that more than
50% of all pursuit collisions (as reported by agencies state-wide)
occurred during the first two minutes of a pursuit – more than 70%
occurred before the 6th minute of a pursuit. They found that
the best predictors of personal injury were a greater number of police
cars involved, involvement of other police agencies, high-speed chases
and chases in built-up non-residential areas. In
a factorial analysis of police pursuit driving decisions, Alpert (1998)
reported previous work by Falcone
(1994) that showed that most officers reported that reasons to terminate
a pursuit included traffic conditions, certain speed zones,
dangerousness of the offence and weather conditions. He also cites
Homant and Kennedy’s (1994) study of officers from 7 US states which
showed that in those with the most permissive policies, officers were
most inclined to pursue, while the more restrictive states had officers
less inclined to pursue. Alpert’s own research study was a comparison
of officers routinely involved in pursuits with those never involved in
pursuits and with police managers, across three police departments with
varying policies on pursuits – a study of 881 officers and 174
supervisors. The reported differences between officers’ and
supervisors’ attitudes were minor - regardless of the nature of the
pursuit policy, officers from the various agencies held similar views
about pursuits. Alpert
found that the officers’ responses show that they think the nature of
the original offence is the most important variable in deciding whether
to continue a pursuit. This factor is more than twice as important as
the environmental conditions, in determining whether to initiate or to
continue a pursuit. Officers were most likely to terminate pursuits
voluntarily when it was initiated for suspect vehicles (29%) and least
likely in chases initiated for felonies (16%). The conclusion drawn
about the impact of policy change in two of the case study areas was
that “when Metro-Dade adopted a ‘violent-felony only’ pursuit
policy in 1992, the number of pursuits decreased 82% the following year.
In 1993 Omaha changed to a more permissive policy, permitting
pursuits for offences that had previously been prohibited; the following
year the number of pursuits increased more than 600%” (Alpert, 1997,
p4). Other relevant US evidence
on police pursuits MacDonald
and Alpert (1998) conducted telephone interviews with 255 residents from
Aiken County, 300 from Omaha and 169 from Balitmore which indicated that
the public overwhelmingly supports pursuits for serious crime, but that
this support diminishes with the reduced seriousness of the offence for
which the pursuit was initiated. They found that “Support for pursuit
is strong and criticism is minimal, if it exists at all when a police
officer is shot or a felony committed. Support is minimal, especially
under high-risk conditions, when a traffic violation is pursued”
(MacDonald and Alpert, 1995, p193). In
a separate study, MacDonald, Alpert and Glover (1997) concluded, based
on data from Baltimore (July 1995 – June 1996) and Metro-Dade
(calendar year 1996), that the helicopter provides an effective means of
apprehending fleeing vehicles. The Metro-Dade helicopters were involved
in 43 pursuits, 91% resulting in an arrest (n=39). In comparison,
Baltimore helicopters were involved in 89 pursuits, 83% resulting in an
arrest (n=74). Although there were accidents resulting from the
involvement of helicopters in pursuits (Metro-Dade n=12; Baltimore na),
available data indicate that none of the accidents resulted in a serious
injury. The use of a helicopter can increase the number of cases an
agency can handle due to the flexibility and speed of the aircraft
(Hoffman ,1996). Helicopters can handle up to three times as many
service contacts as ground units (Simonsen, 1975). The authors concluded
that “Departments should examine the level of violent crime in their
communities and the number of high-speed pursuits. Departments that rank
high on both may see a helicopter as a necessity for both officer safety
(violent crime) and civil liability issues (pursuit).” (MacDonald,
Alpert and Glover, 1997, p13). However, this may be less beneficial in a
UK context where underground car parks and concealed street areas may
reduce utility. However, this has not yet been adequately tested. UK Home Office funded research
The
major UK study of deaths and injuries resulting from police vehicle
accidents was undertaken by Rix et al (1997) on behalf of the UK Home
Office’s Police Research Group (PRG) and involved a study of 770
serious injury and fatal police vehicle accidents between 1990 and 1993,
which resulted in a total of 1,117 victims of accident and 92
fatalities. In the study sample, although the police suffered almost
half of the accidents, nearly 80% of the fatalities were suffered by
members of the public. For the serious injuries, 39% occurred in
pursuit/follow situations, 29% in routine patrols and 23% while
responding to emergency calls. Almost
¾ of the police vehicles were travelling at speeds below the speed
limit at the time of the accident, while over half (55%) occurred during
the hours of darkness. In terms of the circumstances of the incidents,
some of the key findings that emerged were that: ·
15% of serious
injury/fatal PVA’s (police vehicle accidents) occurred during
pursuits/emergency responses where neither sirens or lights were in use ·
Less than 1/3 of police
drivers were breath tested following the PVA (although the policy on
this issue has since changed) ·
15% of basic drivers
involved in PVAs were participating in pursuits ·
17 (81%) of the 21
pedestrians who died as a result of a PVA had come into contact with a
police vehicle Four
police activities accounted for 96% of the fatalities: 41 (45%) died in
pursuit/follow situations, 21 (23%) when police vehicles were responding
to emergency calls, 18 (20%) when the police vehicle was on duty but
unconnected to an emergency and 8 (8%) during training exercises. 205
(27%) of the driving public involved in PVAs were in stolen vehicles. A
second level of analysis was carried out on the police drivers involved.
Peak occurs at around 25-29 years – when corrected for police profile,
younger officers appeared more likely to be involved in PVAs although
they are most likely to be involved in an operational role. Perhaps more
importantly for the current research, 36% of the advanced driver group
did not make contact with anybody or anything
(compared with 18% of standard drivers and 10% of basic drivers).
Further only 16% of advanced drivers struck other vehicles during the
PVA compared 23% of standard drivers and 32% of basic drivers, which may
have implications for who should be allowed to take part in particular
kinds of police driving behaviours. This may be linked to training and
pragmatic issues as Rix et al (op cit) also found that standard drivers
were least likely to be using both sirens and lights at the time of the
accident, while advanced drivers were most likely to have been doing so. Among
other relevant information that was gathered in the research related to
specific aspects of police driving,
233 (28%) of the drivers had previously been involved in a PVA,
and 27% involved vehicles at speeds in excess of the speed limit. Rix
et al reported that 55% of the incidents occurred during the hours of
darkness (compared to 27% for national average of all accidents), and
that the incidents peak (32.7%) between 6pm and midnight, while 28% took
place between midnight and 6am. The highest frequency of accidents
appears to be on a Friday night - while 12% of all accidents occurred on
Mondays, 16% occurred on Fridays. In
terms of the actions taken following police vehicle accidents, 375 (48%)
driving members of the public were reported for offences following the
PVA – 23% for not having valid insurance and almost 20% were reported
for theft of a vehicle. 122 (16%) members of the public were reported
for careless driving and 110 (14%) for dangerous driving. Breath tests
were requested from 248 (32%) drivers – of these, 187 (75%) proved
negative, 46 (19%) positive and 15 (6%) failed to provide a sample.
Police drivers were suspended from driving in 156 (24%) of cases, while
61% of police drivers were exonerated without any further action. 51
(7%) of police drivers were held to be blameworthy – 10 were
subsequently removed from police driving duties and the remaining 41
were re-trained and 41 police drivers were referred to the CPS. Of
these, 26 cases were supervised by the PCA – 18 police officers
received a criminal sentence, four received another penalty and two
received a driving suspension. UK
policy evidence
The
most important recent policy review was the ACPO report on Police
Pursuit Driver Training (“The Lind Report”, September 1998) whose
aims were to review police pursuit driver training and to develop a set
of national core competencies for advanced and standard police driving. The
Lind Report (ACPO, 1998) makes clear the distinction intended by the
police between pursuits and follows, citing Horner (1995) who defined a
pursuit as “where appropriately trained officers in suitable vehicles,
pursue a fleeing vehicle with the intention of safely causing it to
stop”. In contrast, Horner (op cit) defines a follow as occurring
“where a police officer safely monitors the progress of a target
vehicle, with the objective of appropriately trained officers
undertaking a “pursuit of that vehicle””. The report also cites
the ACPO (1989) report in defining pursuits as “when police attempt to
stop the driver of a motor vehicle and the driver refuses to obey the
officer, following which the police give chase for the purpose of
stopping the fleeing vehicle”. As with the Horner definition the key
terms are “fleeing vehicle” and “attempt to stop”. The
report contains a total of 33 recommendations that are divided into
sections on training, operational issues, technology and administration.
Among the most important recommendations are that pursuits should “be
subject of vigorous control and only undertaken by trained personnel”,
that “risk assessments should identify areas of organisational and
individual responsibility”, that attitudinal training should be
included in training courses, that periodic assessment of driving skills
should take place between each 3-5 years and that there should be co-ordinated
national quality procedures. The
report also recommends that driver training should be taken forward
nationally with three core courses – Basic (training to fulfil a
patrol function), Standard (which extends the basic training to include
emergency responding and night response driving) and Advanced (to enable
pursuits and high speed response driving). Further, there is the
recommendation that all vehicles that engage in pursuits and emergency
responses should be equipped with both sirens and emergency lights, and
that these vehicles should have the capacity to communicate during
pursuits and emergency responses in hands free mode. Commander
Cullen’s follow-up to the Lind Report (November 2000) indicated that
86% (n=37) of police forces in England and Wales have conducted a risk
assessment of operational police driving. However, attitudinal training
is only automatically included in driver training courses by 10 forces
(24%) and only 11 forces (25%) re-assess all drivers every 3-5 years.
Crucially, only 36 (84%) of forces follow the recommendations set out in
the joint PCA/ACPO report. Furthermore, there are considerable question
marks over the methods employed by Cullen and the adequacy of the
evaluation of implementation – which was largely based on
self-reported questionnaires from each force with no external or
independent evaluation. On
more operational issues, 67% (n=29) of forces provide training in the
hours of darkness to all drivers with two forces not providing any
night-time driving. In 25 forces (58%), controllers receive regular
hands-on pragmatic pursuit training management. Similarly, in 40 forces
(93%) all vehicles used in emergency response work are fitted with
sirens and blue lights, while 41 forces (95%) use HOSTYDS (stinger[1])
in at least some circumstances. Finally, 38 forces (88%) operate a
system that allows for the identification of ‘high risk’ drivers. Most
recently, ACPO has issued the “Road Death Investigation Manual”
(December 2001) which sets out with the aim of ensuring of
“further(ing) the interests of justice by assisting the police to deal
fairly, impartially and thoroughly with road death” and constitutes
further evidence of police recognition of the importance and gravity of
this issues and the need to allocate appropriate resources to the
investigation of serious road traffic incidents. The report points out
that “if there is uncertainty over whether a particular complaint will
be referred to the PCA, it will generally be appropriate to let the PCA
decide the issue” (p114) and that the same principle should apply to
cases involving ‘serious injury’. The report also lists the types of
incidents which might constitute a police-related road death, included
in which are deaths of officers or others conveyed in police vehicles,
deaths involving collision with a police vehicle, “death resulting to
another road user from collision involving a vehicle being followed by
police” and death resulting from other police activity on the road.
This manual constitutes a clear policy statement by ACPO that the issue
of RTI’s is a significant one that the police treat with the utmost
priority and that requires the highest level of independent
investigation. Method
According
to the Lind Report (1989) “Police vehicle accidents resulting in death
or life threatening injury or where the circumstances may be a matter of
public interest have normally been voluntarily referred to the PCA under
Section 88 PACE Act 1984. Such openness is to be applauded and is
recommended as good practice”. The
current report examines cases referred in this way and accepted by the
Police Complaints Authority for supervision. The inclusion criteria for
the study were that the case occurred between 1998 and 2001 and that,
even if the case had not been completed by the time of writing, the
Investigating officer’s report had been received. The cases included
in the study are those received by the PCA and coded on the PCA database
as RTI’s (Road Traffic Incidents) or which have been identified by the
research team as such during the data trawl component of the study. In
terms of the timing of the incidents – 16 were drawn from 1998, 21
from 1999, 26 from 2000 and 22 from 2001 – however, this refers to
completed cases and so this is not a comprehensive total for 2001.
However, in spite of the Lind comment above, concerns remain about
inconsistencies in the number of cases referred to the PCA and in the
number of serious injury cases that are not accepted for supervision by
the PCA. This creates uncertainty over the representativeness of the
sample, although it is unlikely that any deaths will have been excluded
in this period. The
rationale for the study was, in the light of the reported increase in
fatal RTI’s in the PCA Annual Report, to examine the factors that
surround the referred cases in terms of: ·
Environmental factors ·
Characteristics of the
driver of the victim or pursued vehicle ·
Characteristics of the
police driver (and police passenger where this is appropriate) ·
Quality of communications
and supervision ·
Rationale for undertaking
the pursuit/follow or response ·
Typical speeds and
distances between the vehicles where this is relevant ·
Issues around the
investigation of incidents and the outcome ·
Identifying the lessons to
be learned To
achieve this, an initial set of 5 files were identified and examined by
the research team and a pro forma for data collection was developed on
the basis of material available in the files and the key questions
identified in the examination of the policy and research literature. The
method was mixed with a primarily quantitative social research database
(subsequently entered on SPSS v10) supplemented by brief synopses of
each case to supplement the quantitative data. One of the major aims of
the project was, unusually, to identify the levels of missing data for
particular topics to assist in the standardisation of future data
collection during the course of subsequent research projects. The
primary source of data – the PCA case file – consists of the police
investigation of each incident and a correspondence file between the
relevant parties which outline the PCA action on the case and the
aetiology of the decision-making around investigation and subsequent
discipline if this is relevant. Inevitably there are inconsistencies
within reports (for instance, between witnesses about the distance
between vehicles during the course of pursuits and about the speed they
were travelling at), in which case the data recorded is that indicated
by the IO, if any indication of this is given in his or her report. It
is also worth noting that, with the increased piloting and availability
of IDRs (‘black boxes’), some of these issues may, in time, be
resolved technologically. Where this is not available, the witness
testimony is used with a simple averaging process having been employed
where ranges are offered by one or more witnesses. Where the data is too
inconsistent or unreliable the variable has been coded as missing. In
the discussion section, the limitations of the research design are
discussed. Inferential
statistics have been included to designate whether differences between
groups can be regarded as being reliable. The convention of 95%
confidence has been used; therefore, where a test is designated ‘ns’
(not significant), this means that there is more than a 5% possibility
that the result occurred by chance. For those differences designated as
significant, three codes reflecting confidence in findings are used: 1.
P<0.05 – less than a 5% chance that the difference is a
result of chance alone 2.
P<0.01 – less than a 1% chance that the difference is a
result of chance alone 3.
P<0.001 – less than a 0.1% chance that the difference is a
result of chance alone Results
Note
on measurements used: One yard = 92 cms 1 mile = 1.6
kilometres The
study consists of 85 supervised road traffic incidents (RTIs) that
occurred between 1998 and 2001 and which were referred to the PCA for
supervision. The breakdown of these cases is 64 pursuits/follows (this
distinction is considered at length in the discussion section), 14
emergency response incidents, 4 standard patrol incidents, 2 incidents
involving officers coming off duty and one possible suicide. The
strategy for analysis will be to consider the total number of 85
incidents as a group and then to focus on the pursuit/follows as a
specific group. The
severity of the cases is indicated by the fact that the 85 incidents
resulted in a total of 91 fatalities – although12 of the cases were
serious injury only, 61 involved the death of one individual, 7 involved
two deaths, 4 involved three deaths and one of the incidents resulted in
the deaths of all four occupants of a vehicle. Both the rates of
referral and the style of investigations vary between forces – with
the majority of the investigations having been undertaken by officers
from professional standards departments (n=62), while 10 have been
investigated by traffic departments and 13 of the investigations have
been led by officers from other departments (including road policing and
operational command). The
investigations were generally overseen by chief inspectors (n=34) or
superintendents (n=28), although a smaller number were led by inspectors
(n=20) and 3 by chief superintendents. In all but four of the 85 cases,
the investigation was conducted by the home force, with only four
investigations conducted by external forces. Locations
There
was no clear pattern to the forces involved in the supervised cases –
of the 43 police forces in England and Wales, 31 forces that have been
included in the study. The forces that referred the greatest number of
RTI’s that have been included are the Metropolitan Police Service(n=12),
West Yorkshire (n=11), Greater Manchester Police (n=9), Sussex (n=6) and
South Yorkshire (n=5). None of the other forces included referred more
than three cases that have been included (for full list of locations see
Appendix 1). The
majority of the incidents (defined as the scene of the major collision)
occurred in towns (n=70), with 14 taking place on country roads and one
on a motorway. Fifty-one of the incidents occurred on A roads, 9 on B
roads, 23 on roads not classified and 2 on other types of highway. The
majority of incidents (n=63) were on single carriageway roads with a
further 15 on two-lane or dual carriageway roads, 5 on 3-lane roads and
2 on 4-lane roads. The
average distance to the nearest junction was 61 yards, although this
data point is skewed by the fact that 35 of the incidents took place at
junctions. The closest junction to the incident was most commonly either
a T-junction (n=29) or an access road (n=27), with a further 8 incidents
occurring at or near crossroads, 6 at or near lights, 6 at or near
roundabouts, 4 at or near pedestrian crossings and the remaining 5 near
other forms of junctions. Of those incidents that did not happen at
junctions, 28 occurred on bends and 22 on straight sections of road. In
23 of the incidents the collisions occurred on sections of road that had
road calming measures. Other environmental factors
In
terms of natural lighting, 56 of the incidents occurred after dark with
4 during dusk or dawn and 25 during daylight hours. Of those that did
not happen during daylight, there was full artificial lighting in 36,
partial light in 8 and no lighting in 16. In the majority of cases the
road was described as ‘quite quiet’ (n=40) or ‘almost deserted’
(n=26), with only 15 incidents occurring when the road was either
‘busy’ or ‘very busy’. The vast majority of incidents (61/85)
occurred in 30 mph speed limit zones. Surprisingly,
the majority of incidents occurred in dry weather (n=64), 14 in light
rain or wet road conditions, 4 in heavy rain and 3 in other weather
conditions (fog, ice or snow). Most commonly the incidents occurred
during the night (between midnight and 6am)(n=38), then in the evenings
(between 6pm and midnight)(n=25) with a further 16 occurring in the
afternoons (between midday and 6pm) and 5 in the mornings (between 6am
and midday). There
was not an even spread of incidents across the week with more incidents
occurring at the weekends (22 on Sundays and 15 on Saturdays) than on
weekdays (11 each on Mondays and Wednesdays, 10 on Fridays, 9 on
Tuesdays and 6 on Thursdays). Comparisons of pursuit/follows and the other files included in the study
While
there are fundamental difficulties in making comparisons across
categories of events, the most straightforward comparison was between
the police drivers involved in the 64 pursuit/follows and the 21 drivers
involved in other police-related road traffic incidents. The basic
differences are shown in Table 1 below:
Table
1: Differences in driver characteristics of RTI involving
pursuit/follows and other types of incidents There
are clear differences in the recorded police speed at the point of
impact, with pursuit/follows having a significantly higher mean speed at
impact that the other RTI’s included. It is perhaps also worth noting
that the number of fatalities involved in the pursuits/follows is higher
than that noted in the other police RTI’s. While this may result from
the fact that the greater speeds means that individuals are more likely
to be fatally injured, it may also be the case that this reflects a
differential referral policy, in which non-fatal pursuits are less
likely to be referred to the PCA (and so less of them are available for
inclusion in the study) than other forms of RTI. However, as with all of
the findings reported in the study, as a result of the small sample size
and because of force variations in referral policy, it is impossible to
make definitive inferences as a consequence of the sampling frame
employed. What it may also indicate is that police activities that take
place at higher speeds (such as pursuits), carry with them a
fundamentally greater risk for occupants of any vehicles involved in
collisions. Examination of the pursuit/follows
The
Lind Report (ACPO, 1998) makes clear the distinction intended by the
police between pursuits and follows, citing Horner (1995) who defined a
pursuit as “where appropriately trained officers in suitable vehicles,
pursue a fleeing vehicle with the intention of safely causing it to
stop”. In contrast, Horner (op cit) defines a follow as occurring
“where a police officer safely monitors the progress of a target
vehicle, with the objective of appropriately trained officers
undertaking a ‘pursuit of that vehicle’”. However,
for the purposes of the initial analysis, these events will be grouped
together before an analysis of the classification is undertaken. The 64
pursuit/follows resulted in 78 fatalities (a mean of 1.2 per incident)
although three incidents were serious injuries without any fatalities
occurring. As far as the investigators’ classification of the event
24/64 are referred to as pursuits, 29/64 as follows, the terms are used
variously about three of the incidents, in two neither term is used and
for the remaining 6 this taxonomy is not clearly delineated in the
Investigating Officer’s report. This is a clear indication that this
distinction is not satisfactory and is not even sufficiently understood
by those responsible for leading the investigations. The IO’s
categorisation was then used to compare the pursuits and follows on a
number of core variables that are shown in Table 2 below:
Table
2: Differences in key incident features by whether the event is classed
by the IO as a pursuit or a follow As
can be seen clearly from the above table, there are no significant
differences in any of the key variables, only a small part of which can
be attributed to the relatively small sample size. With regard to mean
differences, it is not surprising that events classed as ‘pursuits’
have a higher mean speed, but it is perhaps worrying that events classed
as ‘follows’ involve shorter mean distances between the vehicles
(for the purpose of monitoring (Horner, 1995)) than those events classed
as ‘pursuits’. The failure to evidence any behavioural distinction
between the classes of events further challenges the functionality of
this distinction. However, the attempt to assess typical speeds and
distances was made problematic because of the nature of events that may
involve dramatic increases in speed over their brief course, with the
reliance of recall and witness evidence for the incidents in which
IDR’s or mounted videos were not available and because of the lack of
consistency in the reporting of these key measures across the cases
included in the study. The PCA will work with forces to ensure that
higher quality data is captured in future and that larger sample studies
are employed to increase reporting confidence. There
were however two significant differences between the groups – in 33.3%
of the events classed as pursuits, there was an attempt to stop the
target vehicle, which was only the case for 6.8% of the follows (in
spite of this being beyond the remit of what is defined as a follow)
Similarly, a markedly higher proportion of the pursuits involved stolen
cars (56.5%) than of cases defined as follows (37.9%). There was no
difference between the classifications in the likelihood of
communicating with the control room before initiating the event, nor in
the likelihood that the driver was pursuit trained (which was the case
in 68.2% of ‘pursuits’ and 82.4% of the events described as
‘follows’). Similarly, in none of the events described as pursuits
did the IO recommend any disciplinary action against the driver, and
this was the case in only one of the ‘follows’, where advice was
recommended (in each case this was agreed by the PCA supervising
member). In contrast, of the 25 other incidents (primarily emergency
responses or standard patrols), three IO’s recommended that officers
were given advice, two that admonishments were given and two faced
criminal charges as a result of the incidents. Thus, there appears to be
no clear rationale for the distinction between describing events as
pursuits or follows, and it is not at all clear what benefit accrues
from this distinction. The
nature of the collision for each of the three classes of event
(excluding the six cases which are undefined as pursuits or follows), by
the classification of the collision for the first two collisions are
given in Table 3 below:
Table
3: Categorisation of incident by nature of the collision Perhaps
the most striking conclusion that can be drawn from the above table, in
pursuit/follow incidents, there were only two collisions between the
police vehicles and another vehicle, suggesting strongly that adverse
outcomes in these incidents are rarely the result of direct or physical
involvement on the part of officers. This does not imply that the
officers involved are without a contributory role and emphasis should be
placed in assessing culpability on whether the actions of the officers
have been enabling conditions in the genesis of the incident. There
seems to be strong evidence that police drivers who engage in pursuits
and follows have skill levels far in advance of those they attempt to
stop. What we can conclude from this is that it is not issues of police
driving competence that has to be examined as much as the risk-inducing
effects of the police attempts to stop the suspect vehicle. In
none of the incidents did the incident terminate as the result of a
collision between the target car and the police vehicle. The mean
estimate of the distance from the police car to the suspect car was
254.4 yards (±
390.9 yards, range = 5 yards to 1.4 miles) at the time of impact, while
the mean speed at impact of the suspect vehicle was 65.1 mph (±18.6,
range = 27-100 mph). In other words, while the police car tended to be a
considerable distance from the suspect vehicle at the point of impact,
the speed at impact, which earlier aspects of police involvement may
have caused to escalate. In
44 of the 64 cases only one police vehicle was involved, while in 13
there were two police vehicles, in 5 there were three, in one there were
four and in one there were seven police vehicles involved in the
follow/pursuit. Where more than one police vehicle was involved, the
distance between the police vehicles averaged 236.5 yards (±173.3).
There can be no justification for pursuing or following in convoys and
clear justification for the involvement of more than one car must be
offered. In 60 of the 64 pursuit/follows the lead police vehicle had
full markings, in three unmarked vehicles were involved and in one
report this is not stated. The lead vehicle was most often a traffic or
response car (50/64), but a number involved standard patrol cars (n=7)
or police vans (including a dog van)(n=5). One
of the key recommendations from this report is that IOs should be
particularly clear that pursuing in convoys or in unmarked (cars which
have no concealed emergency equipment) is wholly unacceptable, and
exceptional circumstances demonstrated, if this is not to result in
disciplinary action for the officers involved. Pursued/followed car and its occupants
With
regard to the car followed/pursued, this was stolen in 29 (45.3%) of
incidents, although this was not necessarily known by the officers at
the time. In 25 of the 64 incidents, there was only the driver in the
‘target’ car, in 15/64 there was one passenger, in 13/64 there were
two passengers and in the remaining 11 incidents there were between
three and eight passengers in the car – the mean number of occupants
was 2.3. The number of occupants is critical in calculating the risk of
pursuing a vehicle, particularly in any of those involved are minors or
are not wearing seatbelts – as will be the case if there are more than
three rear seat passengers. In 22 of the 64 incidents there were
significant faults with the pursued/followed car before the collision
– 12 relating to the state of the tyres, 3 to the brakes, 4 to the
lighting system and three to other kinds of mechanical problems. Eleven
of the drivers had no insurance, 7 had no MOT and 3 had no tax (this
does not include stolen vehicles), while one motorcyclist was not
wearing a helmet. The
average reported speed during the pursuit/follow was 64.3 mph (±18.7
mph, range = 20-120 mph), although the speed is unlikely to have been
constant in any of these events and the reliability of the sources of
data were variable. It is also worth noting the marked variation
included in this average. The mean age of the driver was 24.0 years (±8.4,
range = 14-54 years), with all 64 drivers being male. In terms of
ethnicity, this was not stated in five of the cases, but in the
remainder, 47 were white, 7 were black, 4 were Asian and one was from
another ethnic group. Of the 56 for whom information on driving status
was stated in the IO’s report, 14 (25.0%) had valid driving licenses,
23 (41.1%) were disqualified and 19 (33.9%) did not have a driving
license. In other words, many of the drivers involved may feel that they
had something to lose by being stopped and so had to make a decision
about whether they should try to avoid the stops. While
breath tests were not conducted on fifteen of the drivers (most commonly
because they were on their way to hospital or because the data was not
provided in the report, possibly because the test was negative) and on
one driver who refused, breath tests or post mortem blood alcohol tests
were available on 48 of the drivers of cars that were pursued or
followed. Of these, 27 (56.3%) were positive while at least two of the
drivers who were not tested because of reasons of hospitalisation were
known to have been drinking before arrest. Drug tests were carried out
less frequently – this occurred most commonly in reports when reported
in the toxicological examination of fatal RTI victims, as the power to
require blood tests for drugs would not permit this in many of the cases
included. Of the 30 individuals who were tested, 12 showed no evidence
of illicit drug use and 18 tested positive for at least one illicit drug
(results are shown in Table 4 below):
Table
4: Number of pursued/followed drivers’ blood or breath tested and
results by substance Furthermore,
the one individual who was classed as having used opiates (heroin) was
also ‘body-packing’ wraps of heroin which he had concealed under the
foreskin of his penis. Data
on previous convictions were not provided in the IO report on 13 of the
64 drivers of target vehicles. For the remaining 51 target vehicle
drivers, only six had no previous convictions with a mean of 6.3
convictions per driver (±8.6,
range = 0-56). Finally, for 42 of the 64 pursuit/follows, data were
provided on whether the driver was wearing a seatbelt (in one case this
was not applicable as the individual was on a motorbike and for one it
was not possible to work this out). Of the 42 for which this was known,
30 (66.7%) were not wearing seatbelts at the time of the collision. A
summary of the main characteristics of the driver of the target vehicle
is shown in Table 5 below:
Table
5: Characteristics of driver or pursued/followed vehicle With
regard to the passengers in the target vehicle, data was available on
the front seat passenger’s age for 36 cases with a mean age of 19.6
years, and on gender for 39 passengers (28 males and 11 females). A mean
of 2.9 convictions were reported for 20 of this group, while 19/27 for
whom this information was available were not wearing seatbelts while at
least one more passenger was initially wearing a seatbelt but had taken
it off before the collision to facilitate making a getaway. From the
above table it is clear that many officers face a dilemma – they have
a duty to protect the public and to intervene when they believe crimes
are being committed (as in many of the cases), yet they also have a duty
to preserve life and to ensure their own safety and that of the suspect
occupants they pursue or follow. The aim of the report is not to
challenge the right of officers to carry out their duties but to ensure
that the methods they use are not intrinsically dangerous, and
disproportionate to the activities they are attempting to manage. Characteristics
of police drivers and passengers involved in pursuits/follows
There
was, typically, far less information available on the drivers of the
police vehicles involved in pursuit/follow collisions and extremely
little on the police passengers. Furthermore, there were marked
inconsistencies both within and between forces in the amount of
information available, although it should be borne in mind that the data
covers a period of longer than three years and so practices and policies
may have changed within the period of the study window. It is worth
pointing out that the Lind Report was published during the window of
investigation here and so many of the cases may precede its publication
or at least occurred before its recommendations could be implemented. The
basic characteristics of the police drivers are shown in Table 6 below
again with emphasis on the proportion of cases for which this
information was provided:
Table
6: Characteristics of police drivers involved in follow/pursuits in lead
car As
is evident from the table, there is no clear pattern of recording of
information by IOs of the characteristics of the police drivers in
pursuits, with almost no demographic characteristics recorded other than
sex, and even inconsistencies in the recording of information about the
driving histories of the officers involved. For more than half of the
incidents included in the study it is not possible to determine the
driver’s level of training and the length of time since their last
training course which is highly unsatisfactory and makes the systematic
assessment of risk considerably more difficult. Appendix 2 contains a
list of the minimum information that the PCA would request to be
systematically included, ideally in the form of a grid about each RTI
that is referred. This list may also assist IOs in shaping their
investigations in this area. However,
from the data that is available, it is clear that virtually all of the
drivers for whom information is stored are experienced drivers trained
to at least a standard level (appropriate for emergency responding), but
there are many instances of pursuit/follows also being undertaken by
this group. Similarly, that there are no instances of positive breath
tests provided by officers, and that none of the officers for whom this
is specified have substantiated complaints would also seem highly
encouraging. However, this does prompt the suggestion that in cases
where the information is not recorded, there may be such issues that
have not come to light, leaving considerable question marks over the
inferences drawn and the capacity to learn lessons. Similarly, that
there are incidents included in the study in which the report does not
refer to the level of training achieved by the lead driver is not a
satisfactory state of affairs prompting questions about the adequacy of
the investigations. To ensure that public confidence in the
investigation of these incidents is maximised, far greater and more
systematic reporting of the driving characteristics of those involved is
strongly recommended. From the data that is provided, the officers
involved appear suitably experienced and qualified – a general
assessment and recognition of this fact will only assist in promoting
openness and confidence in officers.
The
situation with reporting on the passengers in police vehicles was even
more limited. While in 54 of the incidents there was at least one other
officer in the vehicle, nine of the police drivers involved in
pursuit/follows were alone, and in one case it is not clear whether
there was another occupant in the police vehicle. On the seven occasions
where ethnicity is stated, the passenger is white and in 44/54 reports
the passenger is male. The mean length of police service reported is 8.7
years (n=12) and the average length of time on duty at the point of the
incident is 4.7 hours (n=22). None of the 10 officers for whom it is
reported have had any substantiated complaints and only one officer is
reported to have had disciplinary action taken against him which
resulted in a reduction in driving status. While the significance of
reporting on passenger characteristics may appear less salient, the
passenger is in a critical position to influence the police driver’s
behaviour and to act as the commentator for the control room via radio
equipment. For this reason, it is critical to both the evidence base and
to the investigation of RTI’s operationally that this information be
collected and systematically recorded. At the moment, it is impossible
to draw clear inferences as a result of the paucity of the information
base. This
is particularly clearly indicated by the attempts to record the adequacy
of the commentary provided by the police vehicle occupants. While many
final investigating reports contain transcripts of the radio
transmissions, this is not universally the case and for 24/64 cases it
is not possible to evaluate the commentaries. While it must be borne in
mind that many of the incidents are over very quickly, it is worrying
that in five cases there is no attempt at providing a commentary, in
27/44 the commentary is limited and in only 8/44 can the commentary be
described as comprehensive. This is an area that needs to be addressed
both by improving the quality of the equipment on which commentaries are
provided (and making sure it works!), and by examining issues around the
training of passengers, in particular, in providing adequate
commentaries to enable the control room to make satisfactory decisions
about continuation or desistance. Environmental
conditions in which the pursuit/follows took place
In
46 (73.0%) of the pursuit/follows, the relevant speed limit was 30 mph,
while it was 40 mph in 5 (7.9%), 50 mph in one (1.6%), 60 mph in 7
(11.1%) and 70 mph in four (6.3%)(one missing case in which the speed
limit was not provided). The road where the collision occurred was
described as very quiet or quiet in 48 (80.0%) incidents, and busy or
very busy in 12 (20.0%) – for four cases the traffic conditions are
not adequately described. The majority of the pursuits took place either
at night (n=33, 51.8%) or during the evening (n=19, 29.7%) with
relatively few occurring in either the afternoons (n=9, 14.1%) or in the
mornings (n=3, 4.7%). Pursuit/follows were most likely to occur on
Sundays (n=18) and least likely to occur on Thursdays (n=3) with either
8 or 9 incidents having occurred on each of the other days. The weather
conditions were dry and clear in 83.1% of the incidents, the majority of
which took place in darkness (n=43, 67.2%). Classifications
and event descriptions
The
labelling of the incidents by investigating officers was not always
entirely clear – of the 64 incidents, 24 (37.5%) were consistently
referred to as ‘pursuits’, 22 (34.4%) as ‘follows’, in 3 both
terms were used almost interchangeably, and in the remaining 15 the IO
does not make this distinction explicit in his report. The issue is
examined in greater depth in the discussion section of the report, where
the utility of the classification is discussed and some of the
consequences of using this taxonomy are outlined. The labelling of the
event as a pursuit or follow does not appear to be consistently related
to the reasons for the initiation of the contact which are outlined in
Table 7 below – the reasons given here, with up to three recorded for
each of the incidents, are based on either the IO’s description of the
event or the statements or interviews provided by the officers after the
incident. Nor does there appear to be a clear link between the
categorisation of the event as a ‘pursuit’ or ‘follow’ and the
officers’ plan for what they intend to do, although this is not
explicitly stated in many of the incidents. One
of the main concerns that emerges from a number of the incidents
reported is that there does not appear to be a clear plan for the safe
termination of the incident. In very few of the incidents are stingers
or stop sticks deployed, or is the helicopter on the scene in time, and
there appears to be the assumption that the incident will terminate
either when the suspect vehicle stops (for the occupants to give up or
continue to flee on foot) or when the suspect vehicle crashes. This is
not a satisfactory state of affairs and the management of such incidents
should include a clear indication of how the event will be proactively
concluded by police action. This may involve tactical deployment of
vehicles and stopping devices, or the use of helicopters, but high-speed
follows and pursuits should not be engaged in by officers who do not
have or who do not rapidly develop (ideally through the control room
supervisor) a clear and explicit plan for achieving a safe termination. However,
it is recognised that there is a clear pay-off when police officers make
this kind of decision. On the one hand, there is the risk associated
with engaging in high-risk driving behaviours, particularly when the
original reason for the stop may have been as mundane as speeding or not
wearing a seatbelt. On the other hand, one of the key roles of the
officer is the detection of crime and many officers will reasonably
assume that, if a driver fails to stop when required to do so by the
police, it is because they have something to hide. This something may
relate to use of alcohol or illicit drugs, vehicle-related crime, other
forms of crime and so on. However, the officer must be clear that their
grounds for suspecting such activities are commensurate with the risks
taken in initiating a pursuit or follow. There is no simple solution to
this issue but the loss of life reported in this study would suggest
that the onus should be on individual officers and forces to justify the
grounds for such a high-risk undertaking. In the table below, the
reasons given for the original attempts to stop are given, although it
is likely to have been the failure to comply with this instruction that
may have led to the decision to pursue or follow.
Table
7: Reasons for attempting to initiate contact that preceded the
pursuit/follow In
other words there were a total of 138 reasons given for attempting to
make the initial contact that resulted in the pursuit/follow. Some of
the reasons given in only one incident ranged from ‘having earlier
rammed a police vehicle in an earlier pursuit’ to the poor state of
the car, not indicating, turning out of a bus lane, ‘a screeching
noise coming from the tyres or the brakes’ and the driver talking to a
known prostitute. While it may appear disingenuous to include ‘failed
to stop’ within this coding, it does represent one of the main
indicators of a decision point for officers who, having identified a
reason for wanting to pull the vehicle over, then are in a position of
shaping a response to the failure of compliance by the target vehicle.
However, it is important to acknowledge the secondary nature of much of
the data – this is the researcher’s interpretation of the IO’s
conclusion, particularly if the officers involved have given ‘no
comment’ interviews. This is the reason this is included not as the
first reason but as a subsequent decision factor in the pursuit/follow.
It is also important to note that only around one-third of the initial
reasons for attempting to stop the vehicle are not related to driving
offences, and can be described as criminal offences, although this
category does include knowledge that the car is stolen. However, in many
of the pursuit/follow incidents, it is an initial driving violation that
leads the officer to identify and target a vehicle, whose failure to
comply with the instruction to stop creates suspicion in the minds of
the officers that a more serious offence may have occurred, and this
provokes the decision to pursue or follow. For
the purposes of analysis, the reasons for the stop were recoded in two
ways. First, the cases were divided into three groups –
traffic-related violations only (n=36), reports of crimes (n=22) and
other cases involving either routine stops by officers or suspected
drunk driving (n=6). Second, the total number of reasons has been
calculated – in 14.1% (n=9) one reason is given, in 54.7% (n=35) two
reasons are given and in the remaining 31.3% (n=20) three reasons are
given, as a means of assessing whether more reasons were associated with
more urgent responses or with different classifications of the event.
There are no significant differences in the typical speed of the
follow/pursuit, in the number of people that have died or in the
distance that was covered as a function of the number of reasons for
initiating. Naturally, for virtually all of the incidents included, the
decision is predicated on a failure to stop. However, for inclusion in
the Table 8 below gives the relationships between the type of reason for
the stop and both length and distance of the pursuit and the number of
resulting fatalities:
Table
8: Reason for initiating the pursuit/follow by the number of fatalities
resulting and the time taken and typical speeds As
can be seen clearly from the above table, there is no clear relationship
between the reasons for the stop and any of the risk-taking indices
included in the study – police drivers following or pursuing traffic
offenders are no less likely to travel at speed, nor do the events
continue for less time or over shorter distances and, for the cases
included, they are no less likely to end in fatalities. There would
appear to be greater distances involved for traffic offences, although a
larger sample would be required to attain statistical verification of
this effect. This lack of difference would suggest that once the
decision to follow or pursue has been taken, the same police driving
behaviours appear to occur, although some of the variables, such as
typical speeds may be determined by the suspect driver rather than the
police officer. While the current study is based on a small and
selective sample, in the absence of adequate data, this suggests a
worrying precedent. While
it is generally the case that the officer in the following car will not
know why the target vehicle has failed to stop, and will therefore be
suspicious of the motives for this action, officers must be clear about
the pay-off between the grounds for suspicion of other crimes and the
immediate risk generated by engaging in a pursuit or follow. This should
be uppermost in the minds of the officers as the incident unfolds –
the process of escalation (with increased risks taken by the target
vehicle) is not a sufficient motive for continuing the pursuit or follow
and the officers must be aware of their responsibility in risk
management and the dynamic nature of risk associated with the decision
to abandon or continue the chase. Apart from the strength of the initial
suspicion that a crime has been committed, the officers must be clear
that stopping the target vehicle will not generate a risk greater than
the continuation of the pursuit. This
is reflected in the fact that, in only one of the cases is there a clear
statement that the driver of the target vehicle was known to officers
while in two others there is some indication that at least a partial
identification had been achieved before the initiation of the
pursuit/follow. In the remaining 56 cases for which there is data, there
is no suggestion that the driver of the target car was known to
officers. This makes it rather surprising that there is very little
evidence reported by IO’s of attempts to check via the radio for
offences or to clarify details of the target vehicle – in only 2/23
cases where this can be assessed does this appear to have been done and
in only one of these is there evidence that this has been followed up.
However, in a number of the cases the Police National Computer (PNC)
check may have occurred before the recording of the transcript, although
this does not apply in all cases. While again recognising that these
incidents tend to be very brief, it would seem critical that the
management of high-risk incidents involve a two-way exchange that
maximises information flow between the officers in the police vehicle
and the control room, and that this exchange of risk assessing
information be systematically coded and recorded by RTI police
investigators. One
of the methods intended for assessing the shift in risks associated with
follows/pursuits was to attempt to identify the level of risky driving
engaged in by the pursued driver prior to the initiation of the police
contact. However, for reasons that are in part practical and in part to
do with reporting practices, it was not always possible to clarify
driving activities for the period prior to police contact so that the
list shown in Table 9 may well under-estimate the level of risk prior to
initiation of the follow/pursuit.
Table
9: Evidence of driving or criminal activity prior to the initiation of
the pursuit/follow The
key point from this table is that there were relatively few instances of
significantly dangerous driving behaviour or risks to other road users
that were clearly identified for the period prior to the initiation of
the pursuit/follow and in many cases it was the awareness of police
engagement that was associated with an increase in escalated risk
behaviour by the driver of the suspect vehicle. However, irrespective of
the grounds for initiating the police response, there is clear
indication of an ‘escalation’ in risk-taking behaviour once the
police initiate either a ‘follow’ or a ‘pursuit’ (see Table 10)
Table
10: Traffic violations by target car and by lead police vehicle during
the course of the pursuit/follows While
the police have a clear duty to arrest dangerous behaviour when they are
faced with it, the evidence from Table 7 clearly indicates in the sample
cases, which are likely to under-estimate the extent of traffic
violations by all of the participants, that the activity of initiating a
follow or pursuit is to escalate the extent of risk-taking behaviour
occurring in that driving environment, a risk that is further increased
if more than one police car is involved. Although the collision rarely
involves the police vehicle engaged in the response, the police action,
whether described as a ‘pursuit’ or a ‘response’ augments risk
in two (unequal) ways – first, by increasing the number of vehicles
engaged in transgressions of the Highway Code and, second, by escalating
the behaviours of the driver of the target vehicle and precipitating the
increases in risk-taking driving behaviour engaged in by the target car.
As will be made clear in the discussion section, the key inference to be
drawn from this is that pursuits and follows generate risk to all of the
participants and to any other road users in the area and, as such, there
must be a clear and justifiable rationale for engendering this form of
risky behaviour, particularly in the light of the trend data made
explicit in the 2000/2001 PCA Annual Report.
CASE STUDY: A TRAFFIC OFFENCE THAT ESCALATED INTO A FATAL PURSUIT
A
14-year old boy was killed in a collision with a traffic bollard
having been followed by the police.
The reason for the original decision to intervene, described
throughout the driver’s witness statement as a ‘follow’, was
that the driver of a Reliant was not wearing a seatbelt. The police
vehicle followed the target along a motorway at a distance of 150-200
yards until the Reliant turned off the motorway and went through a set
of lights at red. At this point the police drivers activated the
emergency equipment, but the driver of the target vehicle failed to
stop. The speeds increased to 90 mph as the vehicle returned to a
motorway (having previously been travelling at between 30 and 50 mph)
and, in attempting to exit the motorway at an exit, the driver lost
control, colliding with a traffic calming measure, resulting in his
death. LEARNING
THE LESSON The
two most important issues emerging from this case relate to
proportionality and escalation. There is no clear indication from the
case that the driver of the Reliant (albeit as an under-age driver)
was a danger to himself or to any other road user in the period prior
to involvement with the police. However, once the police had become
involved, the risks taken escalate in a step-wise fashion intimately
linked to the activities of the police car. At each escalation by the
police driver – following, going through red lights, then activating
emergency equipment, and finally closing the distance – the police
driver is effectively raising the stakes (and the pressure) on the
decision-making of the pursued driver. While many of these drivers may
abandon the escape attempt at this point, for those who do not do so
there is a clear magnification of risk, which is particularly
problematic when the reason for the attempted stop is something as
minor as not wearing a seatbelt. Further
there is the irony of wishing to stop a driver because of concerns
over their safety, and then engaging in a ‘chase’ thereby markedly
increasing the risk associated with the reason for the stop in the
first place. This does, however, illustrate the difficulty officers
face – although the original reason for the stop was a fairly minor
traffic violation, the failure to stop and the subsequent failure to
stop at red traffic lights would increase police suspicions that other
crimes may be involved and that the target driver has a reason for not
stopping (such as alcohol intoxication). Under such circumstances, the
police driver has a difficult choice to make, but one that must be
framed in the context of general risk taking. Speeds and distances involved in
pursuit/follows
All
of this is made much more difficult for the officers involved by the
short duration of the incidents involved. For the 47 cases for which
times have been calculated, the mean length of time to the first
collision is 3.2 minutes (±5.0
minutes) with 27/47 lasting for under two minutes before at least one
collision has occurred. Similarly, when calculating the total time
between the initiation of the pursuit/follow and the collision that
ultimately ended the incident, for which 51 cases have data, the mean
pursuit length is 3.3 minutes (±3.8,
range = 0.2-19 minutes), with 25/51 ‘chases’ concluded within two
minutes. The distances involved were similarly short, for the 42 cases
that this was calculated, with a mean total distance for the
follow/pursuit of 3.2 miles (±3.8,
range = 400 yards – 20 miles), and with 15 of the incidents lasting
for one mile or less.
In
56/64 of the incidents there was only one police vehicle involved at the
start of the pursuit/follow, in 6/64 there are two police vehicles, in
one there are three police vehicles involved and in one case it is not
clear. This has not changed markedly by the time of the collision, with
two instances where the IO asserts that no police vehicles are involved,
46 (73.0%) involve only one police vehicle, 9 (14.3%) involve two police
vehicles, and the remaining six for which data are available involved
more than two police vehicles. Although a police helicopter was involved
in eight of the incidents, for six of these it did not arrive until
after the collision so only played any kind of material part in the
resolution of two incidents. Crucially,
it was also possible to establish some kind of typical speed and
distance for the majority of the pursuits/follows (typical distance
estimates could be calculated in 57/64 cases and typical speeds in 60/64
of the incidents). The average speed during the incident for the target
vehicle was 67.1 mph (±19.3
mph, with a range of 20-120 mph) while the estimated average distance
the police car was behind the target vehicle was 219.7 yards (±343.7,
range = 15 –2500 yards). The latter average is skewed as a result of
one case in which the officers were estimated to be around 1.5 miles
behind the target vehicle at the point of collision. While it is
important to note that 26/60 police vehicles were within 100 yards at
the time of the collision, there is only one clear instance of the
police vehicle colliding with the target vehicle, and this occurred
after the initial contact between the target vehicle and another vehicle
on the same road. On the other hand, given the typically high speeds and
the high proportion of police vehicles within 100 yards at the time of
the collision, there are grounds for suggesting that, in many of these
incidents, the police were very much involved in the collision and its
consequences. The role of the police vehicles has generally been to act
as the catalyst for high-risk driving by the suspect and to engage in a
dynamic interaction with the driver of the suspect vehicles that leads
to ongoing escalation of risk-taking decisions that may result in
collisions resulting in serious injury or death. While
there is a positive correlation between the typical speed involved and
the distance between the police vehicle and the target vehicle (r=0.30,
p<0.05), the association is a relatively weak one. However, it may be
more surprising that there are positive associations between the typical
speed and both the length of the pursuit in distance (r=0.19, ns) and in
time (r=0.21, ns). This would suggest that while pursuits/follows are
inherently dangerous there is a gradual increase in risk and speed over
the duration of the event. One of the main incidental factors that may
also be associated with this escalation is the practice of officers of
closing up on the target vehicle to read the number plate, for
communication purposes (although the communication evidence suggests
that this happens relatively rarely in practice). CASE
STUDY: CLOSING THE GAP BETWEEN VEHICLES TO READ THE NUMBER PLATE Early
on a Saturday morning, the police received two witness phone calls
about a car being driven erratically, apparently by juveniles, leading
to a police vehicle being called out.
Shortly after, the vehicle was spotted by a patrol car and
failed to stop - the control room supervisor then authorised the car
to follow but not to pursue. Complaints of poor quality radio
reception meant that the supervisor was not aware that the driver’s
advanced authorisation had lapsed - yet after this was clarified and
with the awareness of possible juveniles on board the decision was not
made to call it off. The police driver accepts that he closed the
distance to clarify the registration plate but claims that he
maintained a safe following distance.
However, the surveying passenger in the pursued car claims that
the driver believed the police car was closing the distance and so was
not willing to stop, whether this perception was accurate or not.
The typical speed of the vehicles was 60-70 mph and the
distance varied between 100 and 400 yards.
As two other police vehicles appeared from the opposite
direction the pursued car failed to negotiate a bend and hit an
agricultural vehicle. LEARNING
THE LESSON As
with many of the incidents, it is not the technical driving
capabilities of the officers that are in question. It is the impact of
their behaviour on the significantly less experienced and capable
driver in the target vehicle that is the issue – particularly, as in
this case, where the target vehicle driver is an adolescent, who
obviously lacks the requisite road craft and experience. This is made
manifest in the closing of distances, where the pursued driver is
effectively forced to make a choice – either to give up or to
respond to this escalation by an increase in his own risk-taking
behaviour. The case also highlights the communication issues around
risk and the need for police vehicles to be equipped with equipment
that is capable of facilitating distal risk assessment. Relationship between
pursuit/follow variables and characteristics of the drivers
The
first characteristic that was assessed in this way was the driving
status of the pursued/followed car and the length, speed and distance of
the chase (see Table 11 below):
Table
11: Driving status of pursued/followed driver by incident factors As
can be seen from the above table, although there are no statistically
significant differences between the groups, it was drivers whose
licenses were intact who had the shortest time and distance before the
final collision and who
were most closely followed by the police. This would suggest that the
drivers without intact licenses were not intrinsically less capable
drivers (as they managed to engage in the pursuit for longer and over
greater distances, while at similar speeds), although it may also
indicate that they were less likely to give up than those with intact
licenses. Considerably more research on successfully resolved pursuits
and follows is required to address this question satisfactorily. The
above analysis was then repeated for whether the car was stolen (see
Table 12 below):
Table
12: Status of target car by incident factors As
can be seen from the above table there were no marked differences in
pursuit variables as a function of whether the car was stolen or not. Use
of lights and sirens and reported attempts to stop the target vehicle Data
are available on the use of lights and sirens for 62/64 incidents.
Sirens were used at some point during the pursuit/follow in 48/62 and
emergency lights in 60/62 incidents. Sirens were most commonly activated
at the breach of the traffic regulations or at the recognition of a
failure to stop (n=27), but were activated on sight of the vehicle in 11
cases and during the pursuit/follow in 5 cases. There is data on the
time of switching off the sirens in 45 cases – 39 after the point of
collision, 5 at various points during the incident and once at the point
the officers were called off. For
the emergency lights, they were also most commonly used at the point of
initial breach of road traffic regulations or the failure to stop
(n=29), or at the sight of the target vehicle (n=16) and during the
course of the pursuit/follow (n=8)(data not available for 9 cases). In
53/57 cases the light were switched off after the collision, with three
vehicles having switched them off at various points during the
follow/pursuit and one switching off the emergency equipment when the
pursuit/follow was called off by the control room. In
only nine of the 64 cases was there any clear evidence of a concerted
attempt to stop the target vehicle beyond the initial ‘failure to
stop’ or fleeing at sight of the police car.
It should be borne in mind that all of these interventions, by
definition, ended in failure so that where they were attempted they all
failed to prevent the collision that led to the incident being included
in the study, either because there was insufficient time to implement
them adequately or because they were unsuccessful. The nine attempts
were four by blocking or obstructing the car (all failed), TPAC (which
could not be adequately implemented), use of the helicopter which on no
occasion arrived in time to influence the pursuit, the use of boxing and
the use of the Stinger device (which could not be rolled out in time). CASE STUDY:
DISPROPORTIONATE RELATIONSHIP BETWEEN REASON FOR FOLLOW AND OUTCOME The case involves three
short and abandoned pursuits of a 40 year old male driving a stolen
Proton car which the owner spotted and had then informed the police
that it had been stolen. The
driver, who was disqualified, drove the car in a reckless and
dangerous manner through the town centre of Heywood (including driving
on the wrong side of the road and briefly mounting the pavement).
It is slightly disturbing that the first follow is described as
being undertaken “for no particular reason” but the officer
radioed it in for speeding prior to losing the car.
The car was then spotted by a by a second police vehicle
several minutes later and a pursuit started at speeds of around 60 mph
at distances of 150 yards that the police vehicle closed to 70 yards.
Again the vehicle was lost but picked up shortly later by a
traffic car which followed at around 50mph and at a distance of
between 60 and 100 yards – as the pursued car turned a corner it hit
the victim as she was trying to get into her husband’s car.
She later died of her injuries - the driver was jailed for 7
years for causing death by dangerous driving, theft of the vehicle and
driving while disqualified. All
officers were exonerated of blame. LEARNING THE LESSON The outcome of the follows
and pursuits, the collision resulting in the death of an elderly woman
returning from a shopping trip, is completely inconsistent with a
series of follows and pursuits that originally had no clear purpose
– it was not known at this stage that the vehicle was stolen or that
the driver was disqualified. Furthermore, the fact that the driver is
subsequently convicted has no bearing on the justifiability of the
officers’ actions – they were materially involved
in a series of high-risk engagements in a busy town centre,
with the consequent risk and tragic outcome completely
disproportionate to the original motivation for following the target
car. The concept of proportionality between the reason for the initial
stop and the evolution of risk should be paramount (and communicated)
in the decision-making practices of both the officers in the police
vehicle and those in the control room. This was also an incident where
the co-ordination of police vehicle activity appears to have been
limited and the use of central co-ordination of information and
strategy unsuccessful. This case is a clear indication of a ‘system
failure’ where a suspect driver is rightly convicted for wrong-doing
but insufficient learning of the lessons by a police force whose
systems and methods were a material component of the tragic death of a
woman who had nothing to do with the pursuit but who was put at risk
by a series of follows and pursuits whose escalation led to increasing
risk-taking by the suspect. Quality of communication
There was considerable difficulty in attempting to classify the
communication for incidents where there was no transcript of the radio
communication. In very few cases was there any comment (far less
systematic analysis) of the role, training or perceptions of the control
room operator or supervisor, and attempts to calculate risk assessment
on the part of either the police vehicle occupants or the individuals
involved in the police control room were opportunistic.
For 43 of the 64 cases it was possible to calculate whether and what kind
of risk assessment took place – from the transcripts it is clear that
there was no communication that represented any kind of risk
communication in 23/43 cases, in 12/43 cases there was an immediate
communication with the control room, in seven the first communication
took place during the pursuit/follow and in one the communication was
initiated within 10 seconds of initiating the follow. The main factors
that were mentioned in this communication are listed in Table 13 below:
Table 13: Types of information provided in the initial contact with the
control room
Some of the other types of requests at this stage were for Stinger to be
deployed, one to discuss safety issues and one to communicate the speed
of the target vehicle. In 24 cases the communication suggests that a
decision to either follow or pursue has been taken – but in 17 of
these this is taken by the occupants of the police car and in only 7 is
the decision taken by the control room. Furthermore, in only six cases
is there any evidence of a second assessment of risk, in which changes
in either road conditions, driving behaviour or other aspects of the
risk calculus are provided by the police driver or communicated by the
control room supervisor.
While this is an issue for investigating officers in compiling their
reports, a more important question surrounds the training of officers in
cars and in control rooms about the transmission of commentaries that
communicate levels of risk and how these change over the course of the
incident. The inconsistency of information provided and the lack of
evidence of supervision from the control room in the majority of cases
make this a key issue in the attempt to reduce the number of adverse
outcomes. The emphasis is on rapid and effective risk assessment and
communication, particularly given the brief duration of most
pursuit/follows, as is illustrated in the example below:
CASE
STUDY: THE PROBLEMS OF ‘SAFE MONITORING’ IN FOLLOWS The
incident involved a stolen Metro, the occupants of which had been
known to have been involved with at least two other stolen cars over
the course of the day. The
incident occurred at 3.20 am when two officers in an unmarked car were
observing another stolen Metro in a car park.
The stolen car pulled into the car park at high speed and
pulled up along side the other Metro, only then observing the officers
(one of the occupants said subsequently that they had recognised them
instantly as police officers) and immediately they drove off at high
speed. The unmarked
police car followed (although without lights or sirens available as
the car was a hire car) with the passenger requesting the intervention
of a marked traffic vehicle. Although
police, witnesses and CCTV evidence indicate that the gap between the
vehicles is 100-200 yards, the perception of the survivors from the
pursued car, that it was much less, may have been relevant to their
actions. In total the
incident lasted just over one minute and for 0.9 miles before the
driver of the pursued car (who is 16, had no licence and had cannabis
in his bloodstream) collided with a lorry at a T-junction, a collision
that resulted in his own death. LEARNING
THE LESSON One
must again question the worth of the distinction between pursuits and
follows when the occupants of the pursued vehicle were clear that they
were being chased by the police, with obvious impact on their driving
behaviour. Furthermore, while the officers did request the involvement
of a traffic car, they should not have engaged in significant breaches
of traffic regulations (particularly speeding) if they were not in an
appropriate vehicle. There is also no attempt at ascertaining training
or risk when the request for other vehicles came in over the radio.
Given the short duration of so many of these incidents, particularly
when the driver is drug-impaired and under-age, officers who attempt
to ‘follow’ or ‘pursue’ when not authorised must seek
appropriate permission from the control room and must not engage in
behaviour that is likely to increase the risk taking of the driver in
the target vehicle. Furthermore, it is fundamentally unacceptable and
indefensible that pursuit/follows be undertaken in unmarked vehicles
that do not have concealed emergency equipment. Regardless of the
driving level attained by the police driver, this creates a
significant risk, and denies the police driver a clear way of
indicating to the suspect vehicle or other road users their police
status. Policy compliance and
investigation outcomes
While the attempt to assess the level of concordance between driving
behaviours and policy is contingent on a clarity in policy and a
consistency in reporting, that are subject to interpretation and the
uncertainty of post-hoc reconstruction, it was possible to make some
assessment of the level of agreement with the Lind Report in 60 of the
64 cases assessed. Adopting a strict adherence to policies identified in
the report, 29 (48.3%) of the follow/pursuits included can be regarded
as having been fully compliant in all aspects, while a further 20
(33.3%) were at least partly in agreement with these principles.
However, there were 11 cases (18.3%) where the recommendations of the
Lind Report were clearly contravened (although again it is worth
pointing out that many of the incidents are likely to have occurred
before Lind was effectively implemented in all forces). For this reason
it is perhaps surprising that in only 2 of the 62 cases for which
recommendations were available, was there a recommendation of
disciplinary action and in only two further cases did the PCA disagree
with the decision of the IO to recommend no action. This is an area that
may require considerably greater scrutiny in future investigations and
in their subsequent supervision by the PCA.
CASE
STUDY: SAFE DISTANCES AND
NUMBERS OF VEHICLES The
driver of a vehicle passed an unmarked police car while doing 50mph in
a 30mph area. The
officers managed to stay in visual contact with him in spite of the
fact that he drove though red lights.
He then stopped the car and ducked out of view but when the
officers approached the car he started the engine and drove off a
speed. Local officers
were then alerted and a pursuit began involving 3 police vehicles with
lights and sirens going at speeds of between 60 and 70 mph with the
lead car, according to the account of the lead pursuit driver, around
3-4 car lengths behind. The
chase was terminated when the pursued vehicle lost control while going
over the hump of a railway bridge crossed to the wrong side of the
road and collided with a van travelling in the opposite direction.
The driver died as a result of the injuries he sustained and
while it is not clear why he chose to flee, he had been drinking, may
have had no insurance and had a long history of police involvement.
While the IO completely exonerated the officers involved, there
are considerable question marks around the effect of the distance the
lead police car was away and about the number of cars involved in the
pursuit in a convoy. LEARNING
THE LESSON The
US published evidence makes it clear that having more than two police
cars involved in a pursuit, at speeds greater than 65 mph are both
factors that increase the risk of serious injury – factors that are
likely to be compounded when the lead car is so close to the target
vehicle. The psychological factors likely to impact upon the driver of
the target vehicle almost certainly will include the cognitive burden
of attending to the visual and auditory stimuli of the pursuing cars,
the arousal effects of the pursuit, lack of training and experience at
driving at speed, as well as the deleterious effects of the alcohol.
While in one sense the pursuit is justified because of the
alcohol level discovered and because of the criminal history and lack
of insurance, the logic is the same as surrounds pursuing juveniles.
If it is dangerous for people who have been drinking to drive, this
danger will be significantly compounded by the slowed reaction times
and impaired and disinhibited judgements that alcohol is likely to
induce. This is significant for police drivers who wish to ensure
public safety by stopping such a vehicle, but it is imperative that
their actions maximise safety and do not simply involve pursuing in a
high-risk manner a driver whose ability to make rational judgements is
significantly disrupted. Discussion/recommendations
The evidence presented above constitutes a powerful endorsement of the
comments made in the 2000/2001 Police Complaints Authority Annual
Report, expressing concern at the increase in the rate of RTIs involving
the police, particularly those that can be categorised as pursuits and
follows. While the data clearly demonstrate that many of those driving
the target cars pursued or followed by the police do not have intact
driving licenses, are under the influence of alcohol or illicit drugs,
are not wearing seatbelts, the reason for initiating the police response
often relates to infringements of traffic law, with only around
one-third of the pursuit/follows included in the study having been
initiated for what would be regarded as non-traffic crimes. This means
that the critical point for risk assessment is likely to be the initial
point where the officer identifies a ‘failure to stop’ and then has
to decide on the costs and benefits associated with pursuing the
vehicle. While the aim of the report is not to abolish pursuits or safe
follows, it is imperative that the risks of such activities are
acknowledged, and are taken into consideration in the management and
conduct of all such police activity.
There are also problems with data interpretation that stem from two issues
– one, the relatively small sample size and two, the problems of
contextualising the information presented. The latter problem arises as
a result of variations over time and between forces in the cases that
are referred to the PCA and also resulting from the lack of comparison
data about the total number of pursuit/follows undertaken in the period,
with linked data on the number of non-injury and minor injury
collisions. The difficulty this creates is that it is not possible to
determine the representativeness of the events described or the rates at
which they occur as a function of all ‘chases’ involving police
vehicles. There are two key research questions that must be addressed as
a matter of priority to permit an assessment of the general level of
risks associated with police pursuits:
1.
What is the total number of pursuits undertaken in any given
force and what proportion of them result with some form of collision,
either involving minor injury or, as in the current study, serious
injury or fatality? 2.
What are the risks of abandoning pursuits/follows? Only by
carrying out systematic assessments of changes in force policies or by
examining cases of discontinued or never started pursuits, will it be
possible to relativise the risk by examining the levels of injury and
loss of life in cases where the police officers make the decision that
pursuit is not an acceptable option. However, the data represent only the first stage in the development of a
PCA database of referred RTI’s and the work reported here will be
followed up using larger numbers of cases as the database develops both
with new cases and further back in time permitting a trend analysis that
is not possible here. What is presented above are the results of 85
supervised investigations, 64 of which refer to pursuit/follows, the
primary focus of the report. The numbers of serious injuries and
fatalities reported here are not acceptable – without sound empirical
evidence that can overcome the limitations of the current study (for
which the Home Office and the police service must take the lead), the
level of risk for follows and pursuits undertaken is not acceptable and
must be addressed by significant changes in police policy and practice.
Some
of these concerns will be addressed by technological advances, including
the widespread introduction of IDR’s and mounted video units in
traffic vehicles which will enhance both the quality of investigations
for incidents that have taken place and, more importantly will increase
the capacity of the forces to manage officers who are inevitably at some
distance from the control room. Furthermore, the implementation of safe
stopping methods such as HOSTYDS and stop sticks may be key components
in the quest for fast and effective methods of stopping suspect
vehicles. It is critical that all of these technological developments,
along with the use of helicopter have as their primary objective the
maintenance of public safety and their effectiveness should be
considered in terms of the total number of collisions, injuries and
fatalities that occur as a result of pursuits and follows, as well as
their impact on the detection and prevention of crime. These are not
mutually exclusive objectives and all policy and practice changes should
be considered in terms of marrying these dual requirements. The
main recommendations derived from these cases are presented below.
Recommendations ·
Definitions:
The data provided would suggest that there are no satisfactory
behavioural indicators that lead to certain events being classified as
pursuits and others as follow. What in effect is happening is often
Procrustean in nature – events are retrospectively classified by the
driver or the IO to ensure that there are no disciplinary implications.
Thus, if the police driver is standard trained or not in an appropriate
vehicle, then the event will be described as a ‘follow’ regardless
of the reason for the initial attempt to stop the vehicle, the speed of
the incident, the distance between vehicles or the outcome. It makes
little difference, if the public consider an event to be a pursuit, that
witnesses and occupants of the target vehicle refer to it as a chase,
whether the police choose to call the event a ‘follow’ or indeed a
waltz. This is not a question of technical expertise, but of
disingenuity, and one that serves only to cloud some of the key issues
of prevention and training involved. This is made more confusing when
the definition of a pursuit uses the concept of a failed attempt to stop
the vehicle following which the “police give chase for the purpose of
stopping the vehicle” (ACPO, 1989) yet many events classed as pursuits
and as follows are initiated by a failure to stop and it is not clear
what actions by police forces and individual drivers constitute
subsequent attempts to stop – eg use of emergency equipment. The use
of these terms should be discontinued and replaced with categories that
relate to breaches of road traffic law and the use of emergency
equipment. Issues of driver training should be a second level of
assessment of decision making around infringements of regulation and the
requirement of control room authorisation. ·
A second issue that arises is in the variation between
forces in the levels of training and refreshers that lead to
inconsistencies in what constitutes advanced, standard and basic police
driving. This is particularly confusing where officers move between
forces and so there may be issues around their suitability for
particular kinds of response that cannot be resolved in the course of
incidents. These would be resolved by the establishment of standardised
competencies.
·
Communication:
One of the major weaknesses identified in the cases examined relates to
the quality of the commentaries and the adequacy of the resulting risk
assessment. In many of the cases included there was little evidence of
adequate communication between the control room and the police vehicle.
Although many of the incidents are of short duration, the moment there
is a failure to stop that is responded to there should be the provision
of ongoing commentary by the police vehicle occupants to enable the
control room supervisor to make adequate managerial decisions. For this
reason, it is recommended that specific courses are run in the provision
of commentaries during pursuits, ideally provided by the police
passenger on hands-free sets that will enable the police driver to
concentrate on the immediate task while the passenger provides all key
information about environmental risk factors (weather, how busy the road
is), speeds, estimated distances, traffic infringements by all involved
vehicles and an assessment of the driving standard of the target
vehicle.
·
Risk
assessment: The need for satisfactory commentary – provided on
satisfactory and functioning equipment – should be part of a broader
commitment to improving the quality of risk assessment undertaken by
police vehicle occupants and by control room staff. Many of the
incidents included in the study involve pursuit/follows where all of the
decisions are taken by the police vehicle occupants, with little or no
input from the control room who should have a series of standardised
prepared questions about whether the target driver is known, is a
juvenile, about the driving style and speed, about the police driver
training and vehicle suitability. Other than the most urgent high
priority crime pursuits, and those pursuits undertaken by advanced
drivers in appropriate marked vehicles, all other instances should
involve control room authorisation before initiating a ‘follow’ or a
‘pursuit’. Furthermore, if there is clear evidence of escalation in
risk during the pursuit/follow (such as marked increases in speed,
driving on the wrong side of the road, or driving into a busy area), the
driver should withdraw, not by pulling back or by de-activating the
emergency equipment, but by visibly pulling over to the side of the
road.
·
Management:
The key managerial task with regard to pursuit/follows is to ensure that
the risks taken during such incidents are proportionate to the outcomes
achieved and that police officers, other road users and the occupants of
pursued vehicles are not subjected to inappropriate risk. This is partly
to do with the issue of proportionality – if police forces are to
engage in activities that result in a number of vehicles exceeding speed
limits, driving through red lights and breaking traffic regulations –
then there must be clear and justifiable grounds for so doing. While the
question of pursuing an individual under the influence of alcohol should
be the subject of policy review, there can be no justification for
pursuit when the original reason for the stop is speeding, not wearing a
seatbelt, or any minor traffic violations. The forces also have a duty
of oversight of pursuit frequency at the level of individual drivers as
well as by divisions and to review their outcomes as a function of the
risks taken. There is a clear need to develop the work on officer
training, particularly around communication but also to extend
attitudinal training to ensure that the evolution of risk is paramount
in the decision to initiate and/or continue with pursuit/follows.
·
Investigation:
The PCA would endorse the widespread use of the Transport Research
Laboratory (TRL) in a significantly greater number of police-related
RTI’s for two reasons – one operational, and the second related to
the availability and accessibility of systematic management and
measurement of RTI’s using multi-disciplinary methods and systematic
procedures for data collection, recording and use.
·
Investigating
Officers’ Reports: While
Appendix 2 outlines the main information that the PCA members should be
provided with for all pursuit/follows that are referred, it is
imperative that the criteria for referral are consistent across forces.
As the PCA itself has recently done, there is also a recognition
that, in line with the ACPO Road Death Manual, forces are increasingly
aware of the scale and scope of this problem – the police are now
involved in more than 1% of all road fatalities in the UK – and
systematic recording of all key personal, contextual and event-based
factors is critical. We would also request that final reports always
include full transcripts of the radio transmission, training details for
the police driver and passengers and for all relevant control room staff
and full driving histories on the police drivers. There should also be a
consistent record kept of seatbelt wearing by occupants of all vehicles,
all blood, urine and breath tests taken from any participants, and a
clear indication of how the incident conforms to both the force policy
and to the recommendations of the Lind Report. ·
Research
and information needs: While
the PCA will continue to develop a research strategy in this critical
area of work, and will liaise with the researchers at TRL in so doing,
there is much work that can be done by individual forces to enable us to
quantify the risks associated with police driving
– in particular, in the areas of follows and pursuits, in
England and Wales. It is
critical that forces are able to assess the numbers of pursuit/follows
they undertake, what the outcomes of these are in terms of collisions,
injuries (of all kinds), arrests and convictions. At present, we are in
the terrible position of saying that we do not know what the pay-off is
for this activity and with the main evidence coming from reports such as
this, the cost should be recognised as enormous, with little systematic
evidence on the benefits that accrue to public safety from stopping
drivers who flee. The main empirical evidence is very powerful - when
Metro-Dade adopted a ‘violent-felony only’ pursuit policy in 1992,
the number of pursuits decreased 82% the following year.
In 1993 Omaha changed to a more permissive policy, permitting
pursuits for offences that had previously been prohibited; the following
year the number of pursuits increased more than 600%. The evidence is
also clear that when you reduce the pursuits, you decrease the number of
incidents and injuries with no clear evidence of increasing the
frequency of fleeing or the total volume of crime. However, until we
have such empirical evidence in the UK our main statistic will be that
more than 1% of all those who die on the roads are in some sense
involving the police and that this proportion is rising. It is against
this evidence that the imperative around improved police data collection
on pursuit/follow frequency and outcomes must be considered. Appendix
1: Location by Force
Appendix
2: Suggested Information Collection for RTI investigation reports Police Drivers
Rank Sex
Age Length
of time in force Ethnicity Level
of driver training achieved Date
achieved this level Most
recent type of driver training and date Training
materials issued at last course Date
and type of last eyesight test Number
of collisions as police driver and date of most recent accident Number
of complaints made (and number substantiated) about driving behaviour Alcohol
test and result Driver
wearing seatbelt? Y/N Time
on shift Shift
pattern over previous week Assessment
of stress Personality
assessment (if appropriate) Police passenger
Rank Age
Sex Ethnicity Length
of time in force Driving
status and date achieved Training
in providing pursuit commentaries Adequacy
of commentary provided Frequency
of risk assessment Accuracy
of risk assessment Number
of complaints made and substantiated Passenger(s)
wearing seatbelt? Police vehicle
Type
of markings Type
of vehicle What
warning equipment was fitted? Is
vehicle fitted with hands-free communications? Y/N Is
vehicle fitted with black box? Y/N Number
of occupants (and seating positions) Number
wearing seatbelts Defects
known at start of pursuit/follow Any
additional defects resulting from pursuit/follow Characteristics of
pursued driver
Age: Sex Ethnicity Number
of previous convictions Was
suspect known to police? Y/N
If so, when did they become known? Reasons
for follow/pursuit:
(1)
(2) Why
was immediate action necessary? Was
suspect driver alcohol tested? Y/N
If so, what was the result? Was
suspect driver drug tested? Y/N
If so, what was the result? Reason
for not stopping (if known) Characteristics of
pursued vehicle
Type
of vehicle Make
and size of engine Was
it stolen? Y/N If so, when did this
become known? Number
of occupants Defects
to vehicle prior to pursuit Damage
to vehicle after collision When
and how was number plate identified? Pursuit/follow
characteristics
Number
of police vehicles involved at start
(and estimated distances away)
Source of distance estimates and reliability assessment
Estimated minimum distance (and source) Number
of police vehicles involved at time of collision
(and typical distances)
Source of distance estimates and reliability assessment
Estimated maximum speed (and source) Was
helicopter used? Y/N
If so, when did it arrive at scene? Typical
speeds Speed
of target vehicle at point of impact Locations
Total
distance covered Time
in target vehicle before collision (s) Time
between start of pursuit and first collision Time
between start of pursuit and final collision Breaches
of traffic laws by each vehicle before the pursuit/follow Breaches
of traffic laws by each vehicle during the pursuit/follow Reason
for initial stop Details
of fail to stop Total
number of collisions – and details (including time gaps) Assessment
of risk Environmental
conditions Distance
final collision occurred from junction Type
of nearest junction Weather Natural
lighting level Artificial
lighting Type
of road How
busy was the road Time
of day Day
of week Is
CCTV evidence available? Y/N
If so, what evidence does it provide? Outcome factors
Number
of individuals injured Number
of individuals killed Did
the investigation comply with Road Death Investigation Manual?
(justify) Any
evidence of ramming? Details
of any attempts to stop car (whether successful or not) How
was ID confirmed? How
were next of kin informed? Were
details of complaints procedure provided to families of victims?
If so, when and by whom? Was
FLO appointed?
If so, when and with what effect? Is
there a complaint? If so, what is the
nature of the complaint? Key
documents to be included Complete
transcript of radio communication Driver’s
most recent training and eyesight test details Force
policy on pursuits/follow Police
vehicle(s) maintenance record Details
of qualifications of police driver, police passenger(s), control room
supervisor, control room operator Qualifications
and status of IO Experts
used in investigation and reasons for use
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