Incorporating Mode Choices into Safety Analysis at the Macroscopic Level
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 4
Abstract
Investigating the contributing factors to aggregated crashes as a function of trip variables combined with details of their purpose and transportation modes is important in the planning stage of a transportation network. The primary purpose of this study is to investigate the association between aggregated crashes, different trip modes, and trip purposes in traffic analysis zones (TAZs). Negative binomial (NB) and a geographically weighted Poisson regression (GWPR) were estimated for total and severe crashes separately. Compared to the traditional NB model, the GWPR model can better account for the spatial heterogeneity in data. Among different trip-related variables, home-based trips with the purpose of work and school by modes such as private vehicle, bike, walk to local bus, and park and ride had the most important impacts on aggregated crash data. Among roadway characteristics variables, length of freeways and major arterials were found to have significant association with total and severe crashes. The results of this study provide a better understanding of the effects of different modal shares and trip purposes on traffic safety.
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Data Availability Statement
All data, models, or code generated or used during the study are confidential in nature. All these items are part of a project with the Pima Association of Government (PAG) and Arizona Department of Transportation, so they are not allowed to be shared.
Acknowledgments
The authors would like to thank the Pima Association of Governments (PAG) for providing the required data. We also acknowledge Mr. Payton Cooke for valuable comments and proofreading. The authors wish to extend their thanks to Dr. Yi-Chang Chiu, Mr. James Tokishi, and Dr. Hyunsoo Noh for their constructive comments, and Dr. Aichong Sun for facilitating data collection.
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©2020 American Society of Civil Engineers.
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Received: Jan 1, 2019
Accepted: Sep 23, 2019
Published online: Feb 12, 2020
Published in print: Apr 1, 2020
Discussion open until: Jul 12, 2020
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