IGSNRR OpenIR
Built environment effects on bike crash frequency and risk in Beijing
Chen, Peng1,2; Sun, Feiyang2; Wang, Zhenbo3; Gao, Xu4; Jiao, Junfeng5; Tao, Zhimin6
2018-02-01
Source PublicationJOURNAL OF SAFETY RESEARCH
ISSN0022-4375
Volume64Pages:135-143
Corresponding AuthorSun, Feiyang(fs377@uw.edu)
AbstractIntroduction: Building a safe biking environment is crucial to encouraging bicycle use. In developed areas with higher density and more mixed land use, the built environment factors that pose a crash risk may vary. This study investigates the connection between biking risk factors and the compact built environment, using data for Beijing. Method: In the context of China, this paper seeks to answer two research questions. First, what types of built environment factors are correlated with bike-automobile crash frequency and risk? Second, how do risk factors vary across different types of bikes? Poisson lognormal random effects models are employed to examine how land use and roadway design factors are associated with the bike-automobile crashes. Results: The main findings are: (1) bike-automobile crashes are more likely to occur in densely developed areas, which is characterized by higher population density, more mixed land use, denser roads and junctions, and more parking lots; (2) areas with greater ground transit are correlated with more bike-automobile crashes and higher risks of involving in collisions; (3) the percentages of wider streets show negative associations with bike crash frequency; (4) built environment factors cannot help explain factors contributing to motorcycle-automobile crashes. Practical Applications: In China's dense urban context, important policy implications for bicycle safety improvement drawn from this study include: prioritizing safety programs in urban centers, applying safety improvements to areas with more ground transit, placing bike-automobile crash countermeasures at road junctions, and improving bicycle safety on narrower streets. (C) 2018 National Safety Council and Elsevier Ltd. All rights
KeywordBike-automobile crash Frequency Risk Poisson lognormal random effects model Built environment
DOI10.1016/j.jsr.2017.12.008
WOS KeywordSIGNALIZED INTERSECTIONS ; TRANSPORTATION MODES ; URBAN INTERSECTIONS ; BICYCLE CRASHES ; MOTOR-VEHICLE ; SAFETY ; RIDERS ; INFRASTRUCTURE ; CHINA ; SEVERITY
Indexed BySCI
Language英语
Funding Projectprogram of Graduate Certificate in Global Injury and Violence Prevention at the University of Washington
Funding Organizationprogram of Graduate Certificate in Global Injury and Violence Prevention at the University of Washington
WOS Research AreaEngineering ; Public, Environmental & Occupational Health ; Social Sciences - Other Topics ; Transportation
WOS SubjectErgonomics ; Public, Environmental & Occupational Health ; Social Sciences, Interdisciplinary ; Transportation
WOS IDWOS:000430785100015
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/55096
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSun, Feiyang
Affiliation1.Tongji Univ, Dept Transportat Engn, Shanghai, Peoples R China
2.Univ Washington, Dept Urban Design & Planning, Seattle, WA 98195 USA
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
4.Univ Calif Irvine, Dept Stat, Donald Bren Sch Informat & Comp Sci, Irvine, CA USA
5.Univ Texas Austin, Sch Architecture, Community & Reg Planning, Austin, TX 78712 USA
6.Beijing Traff Management Bur, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Chen, Peng,Sun, Feiyang,Wang, Zhenbo,et al. Built environment effects on bike crash frequency and risk in Beijing[J]. JOURNAL OF SAFETY RESEARCH,2018,64:135-143.
APA Chen, Peng,Sun, Feiyang,Wang, Zhenbo,Gao, Xu,Jiao, Junfeng,&Tao, Zhimin.(2018).Built environment effects on bike crash frequency and risk in Beijing.JOURNAL OF SAFETY RESEARCH,64,135-143.
MLA Chen, Peng,et al."Built environment effects on bike crash frequency and risk in Beijing".JOURNAL OF SAFETY RESEARCH 64(2018):135-143.
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