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Temporal Instability and Transferability Analysis of Daytime and Nighttime Motorcyclist-Injury Severities Considering Unobserved Heterogeneity of Data

Author

Listed:
  • Chamroeun Se

    (Institute of Research and Development, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Thanapong Champahom

    (Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Sajjakaj Jomnonkwao

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Panuwat Wisutwattanasak

    (Institute of Research and Development, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Wimon Laphrom

    (Institute of Research and Development, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Vatanavongs Ratanavaraha

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

Abstract

Using motorcycle crash data from 2016 to 2019, this paper aims to uncover and compare the risk factors that influence the severity of motorcyclist injuries sustained in daytime and nighttime motorcycle crashes in Thailand. Mixed-ordered probit models with means and variances in heterogeneity were used to take into consideration unobserved heterogeneity. The temporal instability of risk factors was also extensively explored. The results show that male motorcyclists, speeding, fatigue, crashes in work zones, crashes on raised median roads, intersection-related crashes, crashes on wet roads, and crashes on unlit roads are all factors that are positively associated with the risk of death and serious injury in nighttime crashes. The presence of pillions, crashes on two-lane roads, crashes on depressed/flush median roads, crashes in rural areas, U-turn-related crashes, weekend crashes involving heavy vehicles, and head-on crashes are factors that were positively associated with risk of death and serious injury for both daytime and nighttime crashes. This study’s findings provide evidence that factors that influence motorcycle accidents during the daytime and nighttime vary significantly. Additionally, nighttime crashes typically carried a higher risk of fatalities or serious injuries compared to daytime crashes. A discussion of policy recommendations is also provided.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4486-:d:1086218
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    References listed on IDEAS

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    1. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
    2. Hou, Qinzhong & Huo, Xiaoyan & Leng, Junqiang & Cheng, Yuxing, 2019. "Examination of driver injury severity in freeway single-vehicle crashes using a mixed logit model with heterogeneity-in-means," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    3. 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.
    4. Sajjakaj Jomnonkwao & Duangdao Watthanaklang & Onanong Sangphong & Thanapong Champahom & Napat Laddawan & Savalee Uttra & Vatanavongs Ratanavaraha, 2020. "A Comparison of Motorcycle Helmet Wearing Intention and Behavior between Urban and Rural Areas," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
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