Data led work-related road safety
Dr Will Murray, Research Director
Interactive Driving Systems
Contents
• Why
• Collision causes
• How:
– Understand risks & costs
– Manage risks using systems based approach
– Evaluate
Why?
• Societal:
– Driving is biggest risk workers, commuters & local communities
face
• Legal:
– Transport, OHS - 89/391/EEC
– Vehicle = workplace
• Business:
– Good practice, reputation, brand, CSR
• Financial:
– Hidden costs twice actual & impact profitability
– Injuries hit: individual (57%), Company (20%) & Society (23%)
Who causes collisions?
• Drivers are
the main
cause of
work-related
road
collisions
• Managers are
the main
cause of
work-related
road
collisions
Behind the wheel outcomes
Histogram of days between incident and training
1,750
1,500
Day of training
1,250
1,000
750
500
250
0
-800
-600
-400
-200
0
Days
200
400
600
800
Benefit of BTW starts before training undertaken!
• All employees = 0.029 claims per year, never trained = 0.025
• Training = 0.347 per year before training - falling to 0.125 after training
• Claim rate improved with training, but still 5* higher than ‘never trained’ group
• Regression to the mean makes up approx. half of training impact
• Work-related road safety goes beyond drivers
Creating a Crash Free Culture
Research shows that:
‘Fleet safety is most likely to be improved by
the introduction of an integrated set of
measures based on the safety culture within
the organisation’
TRL, MUARC, CARRS-Q
Haddon Matrix framework
PreCrash
or PreDrive
At
Scene
PostCrash
Management
Culture (30%)
Journey
(10%)
Road/ Site
Environment
(10%)
Leadership
Business case
Legal compliance
Safety review
Benchmarking
Pilot studies
Goals & policies
Safety culture
Committee
Pledge
Communications
Contractors
Emergency support
to driver
Report, record &
investigate
Change process
Data linkages,
evaluation & KPIs
Travel policy
Mode choice
Journey
planning
Routing
Risk
assessment
Emergency
preparation
Shifts/ working
time
Risk assess
Observation
Guidelines
Site layouts
Work permits
Site rules
Road design
Hot-spot
mapping
Engage local
road agencies
Engage local
investigators
Debrief &
review
journeys
People - Drivers Vehicle (10%)
and Managers
(20%)
Recruit
Contract
Induct
Check qualified
Handbook
Risk assess
Train
Equip
Communicate
Engage
Monitor
Correct
Manage scene Process to
manage scene
Investigate and Reporting and
improve
investigation
Review site/road Driver debrief
elements of
Counselling,
collision data
trauma support
Reassess/train
Risk assess
Select
Specification
Safety features
Service
Maintain
Check
Use policy
Mobile comms
ITS/telematics
Wear & tear
Grey fleet
Crashworthy
‘ITS’ data capture
Strong openable
doors
Investigate ‘ITS’
data
Inspection & repair
External/ Societal/
Community/
Brand (20%)
Regulator/policy
engagement
CSR
Benchmarking
Communications
Family members
Community
Road safety weeks/
days
Awards
Escalation process
Manage reputation
and community
learning process
How to improve work-related
road safety
Understanding & targeting risks
Process data
Gap analysis
www.fleetsafetybenchmarking.net
10*, 30, 150 & 300+ questions
Others eg Zurich
www.fleetsafetybenchmarking.net
Outcomes data:
- Risk assessment
- Licence checks
- Claims
- Telemetry
How do you compare?
What does the data tell us?
What are the barriers?
Risk assessment data
Licence check data
Claims data
Claim type
Hit TP in rear
Hit parked/stationary TP vehicle
TP pulled out into client path
Reversing
TP hit client in rear
Pulled out into TP path
Multiple collision
TP hit parked/stationary client vehicle
All other
Roundabout collision
Changing lanes
Hit TP's wall/fence
Hit cyclist
Head on collision
Collision on bend
Total
2012
Claims
93
73
65
59
40
37
19
14
14
12
8
8
6
5
3
456
£
515,251
104,005
107,882
119,142
13,846
277,228
86,362
482
96,890
30,245
1,319
725
44,771
15,270
2,600
1,416,018
2013
Claims
55
63
28
40
6
34
3
7
3
14
15
4
2
3
5
282
£
387,519
135,584
135,579
87,462
2009
143,564
1,685
2,333
15,400
102,333
54,409
2,214
23,300
20,502
1,113,892
2014
Claims
55
57
27
43
14
31
5
14
11
14
7
5
2
3
1
289
£
277,496
49,704
15,193
64,616
4,500
155,691
27,808
15,558
12,777
49,757
45,384
6,122
22,703
750
747,658
Collision locations data
OTHER STORES
S T O R E 27
S T O R E 26
S T O R E 25
S T O R E 24
S T O R E 23
S T O R E 22
S T O R E 21
S T O R E 20
S T O R E 19
S U P P L IE R S IT E
S T O R E 18
S T O R E 17
S T O R E 16
S T O R E 15
S T O R E 14
S T O R E 13
S T O R E 12
S T O R E 11
S T O R E 10
STOR E9
STOR E8
STOR E7
STOR E6
STOR E5
STOR E4
STOR E3
STOR E2
STOR E1
R SU
ON ROUTE
O N S IT E
0
20
40
60
80
100
120
140
Driver level Pareto data
% of
% of
drivers
claims
10
29
20
46
50
77
80
93
100
100
Telemetry data
BEHAVIOR CHANGE
Performance Analytics: March – December, 2014
Aggressive Events / 100 Miles Driven
Speeding Events >15mph over the limit
Speeding Events >10mph over the limit
Reversing
Idling
Harsh Acceleration
Harsh Braking
Harsh Cornering
Seatbelt Usage
ALL XX Drivers *
70.09% Reduction
91.87% Reduction
77.71% Reduction
46.67% Decrease (No Target)
60.53% Decrease (No Target)
20% Increase
25% Reduction
218% Increase
77.69% Improvement in Usage
* Sales representatives in company cars
Barriers? - Germany
Workers Councils?
Data privacy?
Evaluation – does it work
Gap analysis outcomes
Fleet gap analysis
Fleet Safety Policy
H&S Policy & Risk Assessments
Legal Compliance
Organisational Leadership & Culture
Journey/Mobility Planning
XXX
2006
75%
61%
81%
62%
77%
All
2006
71%
63%
62%
70%
74%
XXX
2010
87%
71%
87%
82%
92%
All
2010
71%
65%
79%
68%
76%
Driver Recruitment, Selection & Induction
Driver Supervision, Assessment & Training
Driver Wellbeing
51%
61%
57%
62%
59%
61%
75%
80%
82%
67%
65%
64%
Vehicle Selection, Checking, Maintenance & Security
Claims Reporting, Investig.& Recording
Marketing & Community Involvement
Total
Claim Frequency (claims per vehicle)
85%
81%
49%
69%
18%
77%
61%
48%
65%
93%
96%
86%
7%
79%
63%
47%
68%
Nestlé trend
•
•
•
Since inception of Program in 2004
there has been a year on year
improvement in claim frequency &
average claims cost per vehicle
Improvement due to road safety
culture that Nestlé have embedded,
strong road safety program and risk
initiatives
Nestlé motor program is the best in
our portfolio and 'best in class
–
–
–
Senior International Underwriter
Motor Fleet
Zurich Global Corporate
BT trend
Summary/recommendations
• OHS/data led systems-based approach
leads to long term sustained improvements
in collisions, costs, compliance & CSR
• Managing drivers, vehicles & mobility
• Gap analysis/data is start
• Next steps:
– www.fleetsafetybenchmarking.net
– [email protected]