Analyzing the severity of bicycle-motor vehicle collision using spatial mixed logit models: A City of Edmonton case study
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- 作者：Jeana Klassen ; Karim El-Basyouny ; Md. Tazul Islam
- 关键词：Bicycle crash ; Spatial mixed logit model ; Mid-block crash ; Intersection crash
- 刊名：Safety Science
- 出版年：February, 2014
- 年：2014
- 卷：62
- 期：Complete
- 页码：295-304
- 全文大小：880 K
文摘
The City of Edmonton is developing a city-wide cycling network through the Complete Streets project (inclusively) and the On-Street Bike Route project (exclusively). The Complete Streets project develops new roadway design guidelines that consider a specific corridor鈥檚 function and users, and provides appropriate transportation infrastructure, including traffic lights, signage, and turning lanes. The On-Street Bike Route project designs and installs cycling infrastructure (facilities), including multiuse trails, bike lanes, and shared-use lanes. The present study aims to gain a better understanding of the factors contributing to severe bicycle-motor vehicle (BMV) collisions. The study investigates a total of 571 BMV collisions (424 intersection-related and 147 midblock-related BMV collisions) that occurred between 2006 and 2009 to provide a baseline understanding of Edmonton鈥檚 cycling safety concerns, prior to the installation of on-street cycling facilities. Spatial mixed logit models were fitted to the data. The categories of covariates included corridor design, human, temporal, and environmental factors. The results did not show any common factors contributing to BMV collision severity at intersections or midblock sections. Significant factors affecting the BMV intersection collision severity included the interaction between roadway and approach-control type, the existence of partial crosswalks and bike signs, and the cyclist鈥檚 gender and age. Alternatively, factors affecting the probability of BMV midblock collision severity included roadway classification, on-street parking allocations, and the driver鈥檚 age.