Estimating the safety benefit of separated cycling infrastructure adjusted for behavioral adaptation among drivers; an application of agent-based modelling
Authored by Jason Thompson, Giovanni Savino, Mark Stevenson, Jasper S Wijnands, Brendan Lawrence
Date Published: 2017
DOI: 10.1016/j.trf.2017.05.006
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Abstract
Separated cycling infrastructure is a key strategy employed by urban and
transport planners to reduce car vs cyclist crashes.
We constructed an agent-based model (ABM) to explore the potential
effects of introducing progressively greater levels of saturation (e.g.,
more kms) of separated cycling infrastructure into a transport network
in which drivers also demonstrated behavioral adaptation in response to
increased exposure to cyclists as suggested by the safety in numbers
(SiN) theory.
The findings highlight that if behavioral adaptation among drivers is
assumed to be a strong mechanism underpinning cyclist safety, the
introduction of low levels of separated cycling infrastructure across a
network (e.g., few kms) may provide little or no reduction in car vs
cyclist crashes. This is due to the countervailing effects that
separated infrastructure may have on drivers' exposure to cyclists; a
fundamental contributor to the concept of behavioral adaptation.
This study demonstrates the utility of ABMs to explicitly define and
model candidate behavioral mechanisms associated with cyclist and
vehicle interaction when estimating the interaction of infrastructure
and behavioral mechanisms proposed to underlie cyclist safety.
Practically, it suggests that greater saturation of separated cycling
infrastructure across transport networks may be required to reduce
overall car vs cyclist crashes in circumstances where behavioral
adaptation is also a strong mechanism contributing to cyclist safety.
(C) 2017 Elsevier Ltd. All rights reserved.
Tags
Agent-based models
Infrastructure
Walking
Australia
Bicyclists
Psychology
Safety
North-america
Policies
Transport
Injury
Walkers
Injuries
Numbers
Cycling
Road safety