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Modelling the Relationships between Train Commuters’ Access Modes and Traffic Safety

journal contribution
posted on 2024-11-02, 19:45 authored by Duc Phan, Long Truong, Hien Nguyen, Richard TayRichard Tay
Walking, cycling, and feeder bus/tram for first- and last-mile (FLM) train access are often considered to have better health benefits, lower cost, and less environmental impacts than driving. However, little is known about the road safety impacts of these FLM access modes, particularly at a network level. This paper aims to investigate the impacts of train commuters' access modes on road safety in Victoria, Australia. Macroscopic analyses of crash outcomes in each zone (i.e., Statistical Area Level 1) were performed using negative binomial (NB) and spatially lagged X negative binomial (SLXNB), accounting for potential indirect effects of mode shares in adjacent zones. This macroscopic analysis approach enabled the consideration of the safety effects across the network. The results showed that the SLXNB models outperformed the NB models. Commuting by train, either with walking or car as FLM access mode, was negatively associated with both total and severe crashes. In addition, commuting by train with feeder bus/tram access mode was negatively associated with severe crashes. Interestingly, commuting by train with cycling access mode was negatively associated with total crashes, with a larger effect when compared to walking and car access modes. Overall, the results suggested promoting active transport as FLM train access mode would lead to an improvement in road safety.

Funding

Classification methods for providing personalised and class decisions

Australian Research Council

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History

Journal

Journal of Advanced Transportation

Volume

2022

Number

3473397

Start page

1

End page

17

Total pages

17

Publisher

John Wiley & Sons

Place published

United States

Language

English

Copyright

Copyright © 2022 Duc C. Phan et al. This is an open access article distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License

Former Identifier

2006115203

Esploro creation date

2022-06-23

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