[1] Yuan Fang, Yang Zhen,. Analysis of bicyclist-vehicle crashat intersection area considering behavior prior to crash:A random parameter ordinal probit approach [J]. Journal of Southeast University (English Edition), 2021, 37 (1): 91-97. [doi:10.3969/j.issn.1003-7985.2021.01.012]

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Analysis of bicyclist-vehicle crashat intersection area considering behavior prior to crash:A random parameter ordinal probit approach()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

37

Issue:

2021 1

Page:

91-97

Research Field:

Traffic and Transportation Engineering

Publishing date:

2021-03-20

Info

Title:

Analysis of bicyclist-vehicle crashat intersection area considering behavior prior to crash:A random parameter ordinal probit approach

Author(s):

Yuan Fang;  Yang Zhen

Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China

Keywords:

traffic safety;  injury severity;  cyclist crash;  intersection;  random parameter ordinal probit(RPOP)

PACS:

U491.31

DOI:

10.3969/j.issn.1003-7985.2021.01.012

Abstract:

In order to analyze the risky factors that affect vehicle-cyclist crash injury severity at the intersection area, especially the factors relating to the road users’ behaviors, an empirical study was conducted by collecting accident records from 2011 to 2015 from the General Estimates System. After preliminary screening, the variables were classified into 5 main categories including cyclists’ characteristic and behavior, drivers’ characteristic and behavior, vehicle characteristic, intersection condition, and time. The random parameter ordinal probit(RPOP)was used to study the significant influencing factors and corresponding heterogeneity. The results show that failing to obey traffic signals, failing to yield to right-of-way, dash and drinking before cycling can increase the injury severity for cyclists, and the corresponding fatal injury likelihoods increase by 53.2%, 40.0%, 86.3%, and 211.5%, respectively. Moreover, drivers’ inattention, speeding, going straight and left turning increase the risk of crashing for cyclists. The corresponding fatal injury likelihoods increase by 134.5%, 186.5%, 69.3%, and 22.7%, respectively. Other indicators such as age, gender, vehicle type, traffic signal and intersection type can also affect injury severity.

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Memo

Memo:

Biographies: Yuan Fang(1986—), male, Ph.D. candidate; Yang Zhen(corresponding author), male, doctor, associate professor, yangzhen5719@tongji.edu.cn.
Foundation item: The National Key Research and Development Program of China(No.2017YFC0803902).
Citation: Yuan Fang, Yang Zhen. Analysis of bicyclist-vehicle crash at intersection area considering behavior prior to crash: A random parameter ordinal probit approach[J].Journal of Southeast University(English Edition), 2021, 37(1):91-97.DOI:10.3969/j.issn.1003-7985.2021.01.012.

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