Journal article
Application of a random effects negative binomial model to examine tram-involved crash frequency on route sections in Melbourne, Australia
F Naznin, G Currie, D Logan, M Sarvi
Accident Analysis and Prevention | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2016
Abstract
Safety is a key concern in the design, operation and development of light rail systems including trams or streetcars as they impose crash risks on road users in terms of crash frequency and severity. The aim of this study is to identify key traffic, transit and route factors that influence tram-involved crash frequencies along tram route sections in Melbourne. A random effects negative binomial (RENB) regression model was developed to analyze crash frequency data obtained from Yarra Trams, the tram operator in Melbourne. The RENB modelling approach can account for spatial and temporal variations within observation groups in panel count data structures by assuming that group specific effects ..
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Awarded by University of Southampton
Funding Acknowledgements
This research is a part of wider Australian Research Council Industry Linkage Program project LP100100159, 'Optimizing the Design and Implementation of Public Transport Priority Initiatives' Institute of Transport Studies, Monash University in association with the Transport Research Group, University of Southampton, UR. The Principal Chief Investigator is Professor Graham Currie, the Chief Investigator is Professor Majid Sarvi and the Partner Investigator is Dr. Nick Hounsell.The authors would like to thank the Australian Research Council (LP100100159) for financial support of the research. The authors would also like to thank Yarra Trams for their kind assistance in collating data for this study.