Highlights Key factors influencing tram-involved serious crashes were identified. A binary logistic regression modelling approach was adopted. Tram floor height, tram age and season are significant crash fatality factors. Traffic volume, travel speed and tram lane priority are other significant factors. Results will help to develop countermeasures to prevent fatal crashes.
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.
Exploring the impacts of factors contributing to tram-involved serious injury crashes on Melbourne tram routes
Accident Analysis and Prevention ; 94 ; 238-244
2016-06-14
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Engineering Index Backfile | 1939
Engineering Index Backfile | 1939