Different Safety Awareness and Route Choice between Frequent and Infrequent Bicyclists: Findings from Revealed Preference Study Using Bikeshare Data

Author:

Shah Nitesh R.1ORCID,Cherry Christopher R.1ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN

Abstract

Understanding the factors influencing bicycling is important to improve educational and built-environment investments to increase bicycling rates. Although factors such as the physical environment, sociodemographics, and psychology influence bicycling, safety is also one of the primary reasons people avoid bicycling. Interventions based on objective safety can reduce the number of crashes, injuries, and fatalities, but people might still feel uncomfortable bicycling owing to subjective safety (perceived safety or avoidance of risk). Several studies have examined the subjective safety of bicyclists based on stated-preference surveys, but these studies have limitations, including response bias. A revealed preference method was implemented by combining 9,101 bicycling trips of Grid Bike Share in Arizona with transportation network and crash data. A segmented path size correction logit model identified that regular bicyclists took a 1.6-times longer detour to avoid historic crash locations than casual bicyclists. These two groups also exhibited different choices related to the built environment and navigation. The significance of different types of bicyclists avoiding historic crash locations or risky infrastructure is that this indicates that crash datasets coupled with route data could be used as one of several indicators of perceived safety. Recommendations to increase perceived safety and reduce the crash risk of occasional bicyclists include expanding bicycle-specific infrastructure, constructing contraflow bicycle lanes in a one-way street, separating high volume lanes with a bike lane, and improving the education of road users.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3