Exploring the impacts of factors contributing to tram-involved serious injury crashes on Melbourne tram routes

Document Type

Journal Article

Publication Date

2016

Subject Area

place - australasia, mode - tram/light rail, planning - safety/accidents, infrastructure - bus/tram priority, infrastructure - vehicle

Keywords

Binary logistic regression model, Injury severity, Tram safety

Abstract

Previous research is limited regarding factors influencing tram-involved serious injury crashes. The aim of this study is to identify key vehicle, road, environment and driver related factors associated with tram-involved serious injury crashes. Using a binary logistic regression modelling approach, the following factors were identified to be significant in influencing tram-involved fatal crashes in Melbourne: tram floor height, tram age, season, traffic volume, tram lane priority and tram travel speed. Low floor trams, older trams, tram priority lanes and higher tram travelling speeds are more likely to increase tram-involved fatal crashes. Higher traffic volume decreases the likelihood of serious crashes. Fatal crashes are more likely to occur during spring and summer. Findings from this study may offer ideas for future research in the area of tram safety and help to develop countermeasures to prevent specific fatality types from occurring.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Accident Analysis and prevention Home Page:

http://www.sciencedirect.com/science/journal/00014575

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