Potential risk and its influencing factors for separated bicycle paths

Journal article

Xu, Cheng, Yang, Ying, Jin, Sheng, Qu, Zhaowei and Hou, Lei. (2016). Potential risk and its influencing factors for separated bicycle paths. Accident Analysis and Prevention. 87, pp. 59-67. https://doi.org/10.1016/j.aap.2015.11.014
AuthorsXu, Cheng, Yang, Ying, Jin, Sheng, Qu, Zhaowei and Hou, Lei
Abstract

In this paper, we propose two potential risk indicators to define and evaluate the safety of bicycle path at the microscopic level. Field bicycle data were collected from three survey sites under different traffic conditions. These two risk indicators based on speed dispersion were proposed and calculated during each 5-min interval. The risk influences of various widths of bicycle path and traffic conditions were analyzed by using one-way ANOVA. We further proposed a generalized linear model (GLM) for modeling and analyzing the relationships between bicycle risks and v/c ratio and percentages of electric bicycles, male cyclists, young cyclists, and loaded cyclists. The stepwise regression models were applied for determination of coefficients. The results show that the influences of gender and age of cyclists on potential risks are not significant. The risks increase with the width of bicycle path and percentage of electric bicycles, while only for wider bicycle path (4-lane case in this study), the risks are associated with whether or not cyclists are loaded. The findings could contribute for analysis and evaluation of the safety for bicycle path.

Keywordselectric bicycle; potential risk; speed dispersion; generalized linear model; stepwise regression
Year2016
JournalAccident Analysis and Prevention
Journal citation87, pp. 59-67
PublisherElsevier Ltd
ISSN0001-4575
Digital Object Identifier (DOI)https://doi.org/10.1016/j.aap.2015.11.014
Scopus EID2-s2.0-84948420080
Research or scholarlyResearch
Page range59-67
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online29 Nov 2015
Publication process dates
Accepted11 Nov 2015
Deposited19 May 2022
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