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Impact Analysis of Road Infrastructure and Traffic Control on Injury Severity of Single- and Multi-Vehicle Crashes

Author

Listed:
  • Masayoshi Tanishita

    (Department of Civil and Environmental Engineering, Chuo University, Tokyo 112-8551, Japan)

  • Yuta Sekiguchi

    (Oriental Consultants Co., Ltd., Tokyo 163-1409, Japan)

Abstract

Single- and multi-vehicle crashes are a significant issue that has economic and social costs and has therefore gained attention. This study explored the factors associated with injury severity for both single- and multi-vehicle crashes using over 550,000 crash data in Japan from 2019 to 2021. The determinants of road infrastructure and traffic control were identified while considering driver, vehicle, environmental, and accident characteristics, using ordered logit and bias-reduced binomial regression models. Our findings are as follows. Traffic control variables had no significant effect on the injury of single-vehicle crashes. Guardrails were associated with higher severity in both single-vehicle and multi-vehicle crashes at intersections. The impact of the centerline varied between intersections and non-intersections for multi-vehicle crashes. The results of this study provide transportation agencies with important guidance for road infrastructure and transport control.

Suggested Citation

  • Masayoshi Tanishita & Yuta Sekiguchi, 2023. "Impact Analysis of Road Infrastructure and Traffic Control on Injury Severity of Single- and Multi-Vehicle Crashes," Sustainability, MDPI, vol. 15(17), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13191-:d:1231469
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    References listed on IDEAS

    as
    1. Wei Xu & Dillip Kumar Das & Željko Stević & Marko Subotić & Adel F. Alrasheedi & Shiru Sun, 2023. "Trapezoidal Interval Type-2 Fuzzy PIPRECIA-MARCOS Model for Management Efficiency of Traffic Flow on Observed Road Sections," Mathematics, MDPI, vol. 11(12), pages 1-22, June.
    2. Mostafa Sharafeldin & Ahmed Farid & Khaled Ksaibati, 2022. "A Random Parameters Approach to Investigate Injury Severity of Two-Vehicle Crashes at Intersections," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    3. Yuta Sekiguchi & Masayoshi Tanishita & Daisuke Sunaga, 2022. "Characteristics of Cyclist Crashes Using Polytomous Latent Class Analysis and Bias-Reduced Logistic Regression," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    4. Zhenggan Cai & Fulu Wei & Zhenyu Wang & Yongqing Guo & Long Chen & Xin Li, 2021. "Modeling of Low Visibility-Related Rural Single-Vehicle Crashes Considering Unobserved Heterogeneity and Spatial Correlation," Sustainability, MDPI, vol. 13(13), pages 1-24, July.
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    Cited by:

    1. Ziyuan Qi & Jingmeng Yao & Xuan Zou & Kairui Pu & Wenwen Qin & Wu Li, 2024. "Investigating Factors Influencing Crash Severity on Mountainous Two-Lane Roads: Machine Learning Versus Statistical Models," Sustainability, MDPI, vol. 16(18), pages 1-27, September.

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