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Investigating the Impact of Various Risk Factors on Victims of Traffic Accidents

Author

Listed:
  • Jianyu Wang

    (Institute of Transportation Engineering and Geomatics, Tsinghua University, Beijing 100084, China)

  • Huapu Lu

    (Institute of Transportation Engineering and Geomatics, Tsinghua University, Beijing 100084, China)

  • Zhiyuan Sun

    (Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China)

  • Tianshi Wang

    (Institute of Transportation Engineering and Geomatics, Tsinghua University, Beijing 100084, China)

  • Katrina Wang

    (Division of Biosciences, University College London, London WC1E 6BT, UK)

Abstract

In this study, our goal was to determine the impact of various risk factors on traffic accidents in the city of Shenyang, China, and to discuss the various common factors that influence pedestrian and non-motor vehicle accidents. A total of 1227 traffic accidents from 2015 to 2017 were analyzed, of which, 733 were accidents involving pedestrians and 494 were non-motor vehicle accidents. Among these traffic accidents, pedestrians and non-motor vehicle users had either minor or no responsibility. Sixteen influencing factors, including main responsible party attributes, pedestrian/non-motor vehicle user attributes, time attributes, space attributes, and environmental attributes were analyzed with regards to their impact on accidents using the binary logistic regression model (BLR) and the classification and regression tree analysis model (CART). Age, administrative division, and time of year were the three most common factors for pedestrian and non-motor vehicle accidents. For pedestrian accidents, the personal influencing factors of the main responsible party included illegal acts while driving and hit-and-run behavior. Factors affecting pedestrian and non-motor vehicle accidents also had different orders of importance.

Suggested Citation

  • Jianyu Wang & Huapu Lu & Zhiyuan Sun & Tianshi Wang & Katrina Wang, 2020. "Investigating the Impact of Various Risk Factors on Victims of Traffic Accidents," Sustainability, MDPI, vol. 12(9), pages 1-12, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3934-:d:356642
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    Citations

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    Cited by:

    1. Feifeng Jiang & Kwok Kit Richard Yuen & Eric Wai Ming Lee & Jun Ma, 2020. "Analysis of Run-Off-Road Accidents by Association Rule Mining and Geographic Information System Techniques on Imbalanced Datasets," Sustainability, MDPI, vol. 12(12), pages 1-32, June.
    2. Yang Shao & Zhongbin Luo & Huan Wu & Xueyan Han & Binghong Pan & Shangru Liu & Christian G. Claudel, 2020. "Evaluation of Two Improved Schemes at Non-Aligned Intersections Affected by a Work Zone with an Entropy Method," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    3. Saeid Pourroostaei Ardakani & Xiangning Liang & Kal Tenna Mengistu & Richard Sugianto So & Xuhui Wei & Baojie He & Ali Cheshmehzangi, 2023. "Road Car Accident Prediction Using a Machine-Learning-Enabled Data Analysis," Sustainability, MDPI, vol. 15(7), pages 1-15, March.

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