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Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach

Author

Listed:
  • Fangrong Chang

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

  • Maosheng Li

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

  • Pengpeng Xu

    (Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China)

  • Hanchu Zhou

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

  • Md. Mazharul Haque

    (Centre for Accident Research and Road Safety—Queensland (CARRS-Q), Civil Engineering and the Built Environment, Science and Engineering Faculty, Queensland University of Technology, Brisbane 4059, Australia)

  • Helai Huang

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

Abstract

Issues related to motorcycle safety in China have not received enough research attention. As such, the causal relationship between injury outcomes of motorcycle crashes and potential risk factors remains unknown. This study intended to investigate the injury risk of motorcyclists involved in road traffic crashes in China. To account for the ordinal nature of response outcomes and unobserved heterogeneity, a mixed ordered logit model was employed. Given that the crash occurrence process is different between intersections and non-intersections, separate models were developed for these locations to independently estimate the impacts of various contributing factors on motorcycle riders’ injury severity. The analysis was based on the police-reported crash dataset obtained from the Traffic Administration Bureau of Hunan Provincial Public Security Ministry. Factors associated with a substantially higher probability of fatalities and severe injuries included motorcycle riders older than 60 years, the absence of helmets, motorcycle riders identified to be equal duty, and when a motorcycle collided with a heavy vehicle during the night time without lighting. Crashes occurred along county roads with curve and slope alignment or at regions with higher GDP were associated with an elevated risk of fatality of motorcycle riders, while unsignalized intersections were related to less severe injuries. Findings of this study are beneficial in forming several targeted countermeasures for motorcycle safety in China, including designing roads with appropriate road delineation and street lighting, strict enforcement for speeding and red light violations, promoting helmet usage, and improving the conspicuity of motorcyclists.

Suggested Citation

  • Fangrong Chang & Maosheng Li & Pengpeng Xu & Hanchu Zhou & Md. Mazharul Haque & Helai Huang, 2016. "Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach," IJERPH, MDPI, vol. 13(7), pages 1-15, July.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:7:p:714-:d:73968
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    References listed on IDEAS

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    2. Rowland, J. & Rivara, F. & Salzberg, P. & Soderberg, R. & Maier, R. & Koepsell, T., 1996. "Motorcycle helmet use and injury outcome and hospitalization costs from crashes in Washington State," American Journal of Public Health, American Public Health Association, vol. 86(1), pages 41-45.
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    Cited by:

    1. Guofa Li & Weijian Lai & Xingda Qu, 2020. "Association between Crash Attributes and Drivers’ Crash Involvement: A Study Based on Police-Reported Crash Data," IJERPH, MDPI, vol. 17(23), pages 1-16, December.
    2. Sarah Najm Abdulwahid & Moamin A. Mahmoud & Bilal Bahaa Zaidan & Abdullah Hussein Alamoodi & Salem Garfan & Mohammed Talal & Aws Alaa Zaidan, 2022. "A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations," IJERPH, MDPI, vol. 19(6), pages 1-38, March.
    3. Amjad Pervez & Jaeyoung Lee & Helai Huang & Xiaoqi Zhai, 2022. "What Factors Would Make Single-Vehicle Motorcycle Crashes Fatal? Empirical Evidence from Pakistan," IJERPH, MDPI, vol. 19(10), pages 1-14, May.
    4. Thomas Rauer & Andrin Aschwanden & Benjamin B. Rothrauff & Hans-Christoph Pape & Julian Scherer, 2023. "Fractures of the Lower Extremity after E-Bike, Bicycle, and Motorcycle Accidents: A Retrospective Cohort Study of 624 Patients," IJERPH, MDPI, vol. 20(4), pages 1-10, February.
    5. Guofa Li & Yuan Liao & Qiangqiang Guo & Caixiong Shen & Weijian Lai, 2021. "Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016," IJERPH, MDPI, vol. 18(3), pages 1-24, January.
    6. Fanyu Meng & Pengpeng Xu & Cancan Song & Kun Gao & Zichu Zhou & Lili Yang, 2020. "Influential Factors Associated with Consecutive Crash Severity: A Two-Level Logistic Modeling Approach," IJERPH, MDPI, vol. 17(15), pages 1-16, August.
    7. Israel Casado-Hernández & Ricardo Becerro-de-Bengoa-Vallejo & Marta Elena Losa-Iglesias & Alfredo Soriano-Medrano & Ángel Morales-Ponce & João Martiniano & Daniel López-López & César Calvo-Lobo, 2020. "Development and Validation of the Overall Foot Pain Questionnaire in Motorcycle Riders," IJERPH, MDPI, vol. 17(7), pages 1-12, March.
    8. Yen-Hsiu Liu & Bayu Satria Wiratama & Chung-Jen Chao & Ming-Heng Wang & Rui-Sheng Chen & Wafaa Saleh & Chih-Wei Pai, 2023. "Unhelmeted Riding, Drunk Riding, and Unlicensed Riding among Motorcyclists: A Population Study in Taiwan during 2011–2016," IJERPH, MDPI, vol. 20(2), pages 1-15, January.
    9. Zhixue Li & Zhongxiang Huang & Jie Wang, 2022. "Association of Illegal Motorcyclist Behaviors and Injury Severity in Urban Motorcycle Crashes," Sustainability, MDPI, vol. 14(21), pages 1-11, October.
    10. Thanapol Promraksa & Thaned Satiennam & Wichuda Satiennam & Patiphan Kaewwichian & Nopadon Kronprasert, 2022. "Factors Influencing Stopping Locations of Motorcycle Riders on Signalized Urban Intersection Approaches," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    11. Chamroeun Se & Thanapong Champahom & Sajjakaj Jomnonkwao & Panuwat Wisutwattanasak & Wimon Laphrom & Vatanavongs Ratanavaraha, 2023. "Temporal Instability and Transferability Analysis of Daytime and Nighttime Motorcyclist-Injury Severities Considering Unobserved Heterogeneity of Data," Sustainability, MDPI, vol. 15(5), pages 1-28, March.

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