In this section
@article{Li:2014:10.1016/j.ssci.2014.10.001,
author = {Li, H and Graham, DJ and Majumdar, A},
doi = {10.1016/j.ssci.2014.10.001},
journal = {Safety Science},
pages = {283--292},
title = {Effects of changes in road network characteristics on road casualties: An application of full Bayes models using panel data},
url = {http://dx.doi.org/10.1016/j.ssci.2014.10.001},
volume = {72},
year = {2014}
}
TY - JOUR
AB - In order to ensure a high level of road safety, road network planning needs to be based on the best knowledge available of the effects of road design on road safety. In this study, we look into how changes in road network characteristics affect road casualties. An approach based on traffic assignment is proposed in order to estimate the traffic exposure at ward level. We apply a widely used approach for before–after evaluation studies, the Bayesian method. We also use a panel semi-parametric model to estimate the dose–response function for continuous treatment variables. The result suggests that there are more casualties in areas with better connectivity and accessibility, where more attention should be paid to safety countermeasures.
AU - Li,H
AU - Graham,DJ
AU - Majumdar,A
DO - 10.1016/j.ssci.2014.10.001
EP - 292
PY - 2014///
SN - 0925-7535
SP - 283
TI - Effects of changes in road network characteristics on road casualties: An application of full Bayes models using panel data
T2 - Safety Science
UR - http://dx.doi.org/10.1016/j.ssci.2014.10.001
UR - http://hdl.handle.net/10044/1/25463
VL - 72
ER -
Transport Strategy Centre
Department of Civil and Environmental Engineering
South Kensington Campus
Imperial College London
London SW7 2AZ - UK
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