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The Impacts of Climate Change on Road Traffic Accidents in Saudi Arabia

Author

Listed:
  • Md Mazharul Islam

    (King Abdulaziz University)

  • Majed Alharthi

    (King Abdulaziz University)

  • Md. Mahmudul Alam

    (UUM - Universiti Utara Malaysia)

Abstract

The potential costs of road traffic accidents (RTAs) to society are immense. Yet, no study has attempted to examine the impact of climate change on RTAs in Saudi Arabia, though RTA-leading deaths are very high, and the occurrence of climatic events is very frequent. Therefore, this study aims to assess the impact of climate change on RTAs in Saudi Arabia and to recommend some climate change mitigation and adaptation policies to make roads safe for all. This study employed annual data from 13 regions of Saudi Arabia, from 2003 to 2013. The data were analyzed on the basis of panel regression models-fixed effect, random effect, and the pooled ordinary least square. The findings show that temperature, rainfall, sandstorms, and number of vehicles were statistically and significantly responsible for RTAs in Saudi Arabia in the study period. This study also found that RTAs both inside and outside cities significantly caused injuries, but only RTAs inside cities significantly caused death. Furthermore, the death from RTAs injuries was found to be statistically significant only for motor vehicle accidents. The findings will assist policymakers in taking the right courses of action to mitigate the negative impacts of climate change through understanding climate influence on RTAs.

Suggested Citation

  • Md Mazharul Islam & Majed Alharthi & Md. Mahmudul Alam, 2019. "The Impacts of Climate Change on Road Traffic Accidents in Saudi Arabia," Post-Print hal-03546486, HAL.
    • Handle: RePEc:hal:journl:hal-03546486
    DOI: 10.3390/cli7090103
    Note: View the original document on HAL open archive server: https://hal.science/hal-03546486
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    Cited by:

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    2. Wan-Li Zhang & Chun-Ping Chang & Yang Xuan, 2022. "The impacts of climate change on bank performance: What’s the mediating role of natural disasters?," Economic Change and Restructuring, Springer, vol. 55(3), pages 1913-1952, August.
    3. Sharaf AlKheder & Abdullah AlOmair, 2022. "Urban traffic prediction using metrological data with fuzzy logic, long short-term memory (LSTM), and decision trees (DTs)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1685-1719, March.
    4. Ahmed M. Al-Wathinani & David C. Schwebel & Abrar H. Al-Nasser & Afnan K. Alrugaib & Hessah I. Al-Suwaidan & Shahad S. Al-Rowais & Arwa N. AlZahrani & Rawan H. Abushryei & Abdulmajeed M. Mobrad & Riya, 2021. "The Prevalence of Risky Driving Habits in Riyadh, Saudi Arabia," Sustainability, MDPI, vol. 13(13), pages 1-13, June.
    5. Tianni Wang & Mark Ching-Pong Poo & Adolf K. Y. Ng & Zaili Yang, 2023. "Adapting to the Impacts Posed by Climate Change: Applying the Climate Change Risk Indicator (CCRI) Framework in a Multi-Modal Transport System," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    6. Mohammad Mazharul Islam & Mohammad Nazrul Islam Mondal & Haitham Khoj, 2023. "Effects of Health Factors on GDP Growth: Empirical Evidence from Saudi Arabia," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    7. Yajie Zou & Yue Zhang & Kai Cheng, 2021. "Exploring the Impact of Climate and Extreme Weather on Fatal Traffic Accidents," Sustainability, MDPI, vol. 13(1), pages 1-14, January.
    8. Haojie Lian & Pengfei Sun & Zhuxuan Meng & Shengze Li & Peng Wang & Yilin Qu, 2023. "LIDAR Point Cloud Augmentation for Dusty Weather Based on a Physical Simulation," Mathematics, MDPI, vol. 12(1), pages 1-15, December.

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