[1] Yang Yuwei, Wang Chenzhu, Wang Wei, Chen Jun, et al. Analysis of the injury severity of nonhelmeted motorcyclistscolliding with vehicles [J]. Journal of Southeast University (English Edition), 2023, 39 (2): 107-114. [doi:10.3969/j.issn.1003-7985.2023.02.001]

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Analysis of the injury severity of nonhelmeted motorcyclistscolliding with vehicles()

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

Volumn:

39

Issue:

2023 2

Page:

107-114

Research Field:

Traffic and Transportation Engineering

Publishing date:

2023-06-20

Info

Title:

Analysis of the injury severity of nonhelmeted motorcyclistscolliding with vehicles

Author(s):

Yang Yuwei¹;  Wang Chenzhu¹;  Wang Wei¹;  Chen Jun¹;  Muhammad Ijaz²

¹School of Transportation, Southeast University, Nanjing 210096, China
²School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China

Keywords:

road safety;  injury severity;  random parameters logit model;  nonhelmeted motorcyclist collision;  out-of-sample prediction

PACS:

U491

DOI:

10.3969/j.issn.1003-7985.2023.02.001

Abstract:

To investigate the impact of different factors on the severity of accidents involving nonhelmeted motorcycle riders and different types of vehicles, the 2019 Pakistan traffic accident data was analyzed. The accidents were classified into six types according to the types of vehicles involved: car, bus, truck, bike, motorcycle and rickshaw. Each type of accident was further divided into four severity levels: no injury, minor injuries, major injuries, and fatalities. Twenty variables were selected from five aspects: motorcyclist demographics, roadway, environment, crash, and temporal. Also, six random parameter logit models that considered the heterogeneity of influencing factors were established for each type of accident. The likelihood ratio test and out-of-sample prediction method were used to confirm the non-transferability between different logit models. The results show that all selected variables have significant effects on the severity of accidents; the gender of motorcycle drivers, age, number of lanes, and speeding have the greatest impact. This study can provide a reference for local policymakers to formulate strategies, thereby reducing the severity of collisions between helmetless motorcycle riders and other vehicles.

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Memo

Memo:

Biographies: Yang Yuwei(1995—), female, Ph.D. candidate; Chen Jun(corresponding author), male, doctor, professor, chenjun@seu.
edu.cn.
Foundation items: The National Natural Science Foundation of China(No. 52131203, 51768063, 51868068).
Citation: Yang Yuwei, Wang Chenzhu, Wang Wei, et al. Analysis of the injury severity of nonhelmeted motorcyclists colliding with vehicles[J].Journal of Southeast University(English Edition), 2023, 39(2):107-114.DOI:10.3969/j.issn.1003-7985.2023.02.001.

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