IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i17p7348-d1464508.html
   My bibliography  Save this article

Spatiotemporal Heterogeneity Analysis of Provincial Road Traffic Accidents and Its Influencing Factors in China

Author

Listed:
  • Keke Zhang

    (School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin 300222, China)

  • Shaohua Wang

    (School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin 300222, China)

  • Chengcheng Song

    (China Waterborne Transport Research Institute, Beijing 100088, China)

  • Sinan Zhang

    (School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin 300222, China)

  • Xia Liu

    (School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin 300222, China)

Abstract

To objectively evaluate the road traffic safety levels across different provinces in China, this study investigated the spatiotemporal heterogeneity characteristics of macro factors influencing road traffic accidents. Panel data from 31 provinces in China from 2009 to 2021 were collected, and after data preprocessing, traffic accident data were selected as the dependent variables. Population size, economic level, motorization level, highway mileage, unemployment rate, and passenger volume were selected as explanatory variables. Based on the spatiotemporal non-stationarity testing of traffic accident data, three models, namely, ordinary least squares (OLS), geographically weighted regression (GWR), and geographically and temporally weighted regression (GTWR), were constructed for empirical research. The results showed that the spatiotemporal heterogeneity characterizing the macro factors of traffic accidents could not be ignored. In terms of impact effects, highway mileage, population size, motorization level and passenger volume had positive promoting effects on road traffic accidents, while economic level and unemployment rate mainly exhibited negative inhibitory effects. In terms of impact magnitude, highway mileage had the greatest impact on traffic accidents, followed by population size, motorization level, and passenger volume. Comparatively, the impact magnitude of economic level and unemployment rate was relatively small. The conclusions were aimed at contributing to the objective evaluation of road traffic safety levels in different provinces and providing a basis for the formulation of reasonable macro traffic safety planning and management decisions. The findings offer valuable insights that can be used to optimize regional traffic safety policies and strategies, thereby enhancing road safety.

Suggested Citation

  • Keke Zhang & Shaohua Wang & Chengcheng Song & Sinan Zhang & Xia Liu, 2024. "Spatiotemporal Heterogeneity Analysis of Provincial Road Traffic Accidents and Its Influencing Factors in China," Sustainability, MDPI, vol. 16(17), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7348-:d:1464508
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/17/7348/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/17/7348/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matteo Picchio & Michele Ubaldi, 2024. "Unemployment and health: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1437-1472, September.
    2. Taruwere Yakubu, Ahmed & Aremu Muhammed, Ismail, 2021. "Economic Condition And Road Transport Crashes In Nigeria: Evidence From State Level Data," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 8(2), pages 36-44, June.
    3. Huang, Yuan & Wang, Xiaoguang & Patton, David, 2018. "Examining spatial relationships between crashes and the built environment: A geographically weighted regression approach," Journal of Transport Geography, Elsevier, vol. 69(C), pages 221-233.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eleftheria Kontou & Noreen McDonald, 2021. "Associating ridesourcing with road safety outcomes: Insights from Austin, Texas," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-18, March.
    2. Guilherme Amorim & Diogo Britto & Alexandre Fonseca & Breno Sampaio, 2022. "Job Loss, Unemployment Insurance and Health: Evidence from Brazil," BAFFI CAREFIN Working Papers 22192, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    3. Hosseinzadeh, Aryan & Algomaiah, Majeed & Kluger, Robert & Li, Zhixia, 2021. "Spatial analysis of shared e-scooter trips," Journal of Transport Geography, Elsevier, vol. 92(C).
    4. Ubaldi, Michele & Picchio, Matteo, 2023. "Intergenerational scars: The impact of parental unemployment on individual health later in life," GLO Discussion Paper Series 1271, Global Labor Organization (GLO).
    5. Böckerman, Petri & Kortelainen, Mika & Salokangas, Henri & Vaalavuo, Maria, 2023. "Family Affair? Long-Term Economic and Mental Effects of Spousal Cancer," IZA Discussion Papers 16005, Institute of Labor Economics (IZA).
    6. Justine Bondoux, 2024. "Relationships between disability and labour market outcomes in Europe," Erudite Ph.D Dissertations, Erudite, number ph24-02 edited by Thomas Barnay.
    7. Saqib Amin & Marko Korhonen & Sanna Huikari, 2023. "Unemployment and Mental Health: An Instrumental Variable Analysis Using Municipal-level Data for Finland for 2002–2019," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 627-643, April.
    8. Obelheiro, Marta Rodrigues & da Silva, Alan Ricardo & Nodari, Christine Tessele & Cybis, Helena Beatriz Bettella & Lindau, Luis Antonio, 2020. "A new zone system to analyze the spatial relationships between the built environment and traffic safety," Journal of Transport Geography, Elsevier, vol. 84(C).
    9. Zeyang Cheng & Zhenshan Zu & Jian Lu, 2018. "Traffic Crash Evolution Characteristic Analysis and Spatiotemporal Hotspot Identification of Urban Road Intersections," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    10. Yang Liu & Yanjie Ji & Zhuangbin Shi & Liangpeng Gao, 2018. "The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    11. Choi, Dong-ah & Ewing, Reid, 2021. "Effect of street network design on traffic congestion and traffic safety," Journal of Transport Geography, Elsevier, vol. 96(C).
    12. Yakubu, Ahmed T. & Ajide, Folorunsho M. & Abdulrahman, Idris A., 2023. "Income Inequality and Road Transport Accidents in Nigeria," African Journal of Economic Review, African Journal of Economic Review, vol. 11(2), March.
    13. Jonathan Stiles & Yuchen Li & Harvey J Miller, 2022. "How does street space influence crash frequency? An analysis using segmented street view imagery," Environment and Planning B, , vol. 49(9), pages 2467-2483, November.
    14. Wu, Peijie & Chen, Tianyi & Diew Wong, Yiik & Meng, Xianghai & Wang, Xueqin & Liu, Wei, 2023. "Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7348-:d:1464508. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.