IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13636-d1238318.html
   My bibliography  Save this article

Transportation Disaster Trends and Impacts in Western Asia: A Comprehensive Analysis from 2003 to 2023

Author

Listed:
  • Zakaria A. Mani

    (Nursing College, Jazan University, Jazan 45142, Saudi Arabia)

  • Krzysztof Goniewicz

    (Department of Security, Polish Air Force University, 08-521 Deblin, Poland)

Abstract

This research undertakes a focused analysis of transportation disasters in Western Asia from 2003 to 2023. Utilizing a curated dataset from the EM-DAT database, we delve into the patterns and outcomes of these significant events, categorizing by modality such as air, rail, road, and water. The results highlight a concerning surge in mishaps between 2003 and 2010, followed by a welcome decline. Road-related incidents emerge as a dominant category, but a large portion (73.8%) remains ambiguously categorized as “Unknown”, underscoring potential data gaps or reporting inconsistencies. Turkey stands out, accounting for nearly 45% of all documented incidents, emphasizing its central role in the regional transportation disaster landscape. Advanced ANOVA analyses illustrate variations in fatality rates across years and countries, although differences in injury rates across disaster types did not exhibit statistical significance. The study underscores the importance of continuous safety enhancements, public awareness efforts, and regional cooperation. Ultimately, it underscores the pressing need for strengthened safety frameworks and the value of inter-regional collaboration to uplift transportation safety standards in Western Asia.

Suggested Citation

  • Zakaria A. Mani & Krzysztof Goniewicz, 2023. "Transportation Disaster Trends and Impacts in Western Asia: A Comprehensive Analysis from 2003 to 2023," Sustainability, MDPI, vol. 15(18), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13636-:d:1238318
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13636/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13636/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saidi, Samir & Mani, Venkatesh & Mefteh, Haifa & Shahbaz, Muhammad & Akhtar, Pervaiz, 2020. "Dynamic linkages between transport, logistics, foreign direct Investment, and economic growth: Empirical evidence from developing countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 277-293.
    2. Jonas De Vos & Patricia L. Mokhtarian & Tim Schwanen & Veronique Van Acker & Frank Witlox, 2016. "Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility," Transportation, Springer, vol. 43(5), pages 771-796, September.
    3. Bertoli, Paola & Grembi, Veronica & Vall Castellò, Judit, 2018. "Not all silver lining? The Great Recession and road traffic accidents," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 274-288.
    4. Kassens-Noor, Eva & Dake, Dana & Decaminada, Travis & Kotval-K, Zeenat & Qu, Teresa & Wilson, Mark & Pentland, Brian, 2020. "Sociomobility of the 21st century: Autonomous vehicles, planning, and the future city," Transport Policy, Elsevier, vol. 99(C), pages 329-335.
    5. Junhu Ruan & Xuping Wang & Yan Shi, 2014. "A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses," IJERPH, MDPI, vol. 11(11), pages 1-29, October.
    6. Junwei Zeng & Yongsheng Qian & Fan Yin & Leipeng Zhu & Dejie Xu, 2022. "A multi-value cellular automata model for multi-lane traffic flow under lagrange coordinate," Computational and Mathematical Organization Theory, Springer, vol. 28(2), pages 178-192, June.
    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. Roland Brown & Yingling Fan & Kirti Das & Julian Wolfson, 2021. "Iterated multisource exchangeability models for individualized inference with an application to mobile sensor data," Biometrics, The International Biometric Society, vol. 77(2), pages 401-412, June.
    2. Mouratidis, Kostas & Ettema, Dick & Næss, Petter, 2019. "Urban form, travel behavior, and travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 306-320.
    3. Rinaldo Brau & Marco Nieddu & S. Balia, 2021. "Depowering Risk: Vehicle Power Restriction and Teen Driver Accidents in Italy," Working Paper CRENoS 202101, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Hunjra, Ahmed Imran & Azam, Muhammad & Bruna, Maria Giuseppina & Taskin, Dilvin, 2022. "Role of financial development for sustainable economic development in low middle income countries," Finance Research Letters, Elsevier, vol. 47(PB).
    5. Yang, Yongjiang & Sasaki, Kuniaki & Cheng, Long & Tao, Sui, 2022. "Does the built environment matter for active travel among older adults: Insights from Chiba City, Japan," Journal of Transport Geography, Elsevier, vol. 101(C).
    6. Yanfeng Liu & Miao Su & Jinjing Zhao & Sally Martin & Kum Fai Yuen & Choong-Bae Lee, 2023. "The determinants of China’s outward foreign direct investment: a vector error correction model analysis of coastal and landlocked countries," Economic Change and Restructuring, Springer, vol. 56(1), pages 29-56, February.
    7. Liang Zou & Suiying Hu & Lingxiang Zhu, 2023. "Based on AFC Data Calculation of Walking Time in Metro Stations Considering the Impact of Passenger Flows," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    8. Tomás Ruiz & Rosa Arroyo & Lidón Mars & Daniel Casquero, 2018. "Effects of a Travel Behaviour Change Program on Sustainable Travel," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
    9. Dorsa Alipour & Hussein Dia, 2023. "A Systematic Review of the Role of Land Use, Transport, and Energy-Environment Integration in Shaping Sustainable Cities," Sustainability, MDPI, vol. 15(8), pages 1-29, April.
    10. Bi, Hui & Ye, Zhirui & Hu, Liyang & Zhu, He, 2021. "Why they don't choose bus service? Understanding special online car-hailing behavior near bus stops," Transport Policy, Elsevier, vol. 114(C), pages 280-297.
    11. Ruizhe Yan & Lin Hu & Juanjuan Li & Nanting Lin, 2024. "Accident Severity Analysis of Traffic Accident Hot Spot Areas in Changsha City Considering Built Environment," Sustainability, MDPI, vol. 16(7), pages 1-15, April.
    12. Nikitas, Alexandros & Parkinson, Simon & Vallati, Mauro, 2022. "The deceitful Connected and Autonomous Vehicle: Defining the concept, contextualising its dimensions and proposing mitigation policies," Transport Policy, Elsevier, vol. 122(C), pages 1-10.
    13. Yongfeng Ma & Shuyan Chen & Aemal J. Khattak & Zheng Cao & Muhammad Zubair & Xue Han & Xiaojian Hu, 2022. "What Affects Emotional Well-Being during Travel? Identifying the Factors by Maximal Information Coefficient," IJERPH, MDPI, vol. 19(7), pages 1-10, April.
    14. Tian, Tian & Liu, Gang & Hu, Xiaoxi & Bian, Dingding, 2024. "Traffic behavior analysis of the urban expressway ramp based on continuous cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    15. Junwei Zhou & Xizhong Qin & Yuanfeng Ding & Haodong Ma, 2023. "Spatial–Temporal Dynamic Graph Differential Equation Network for Traffic Flow Forecasting," Mathematics, MDPI, vol. 11(13), pages 1-17, June.
    16. Yanfeng Liu & Xue Li & Xiaonan Zhu & Min-Kyu Lee & Po-Lin Lai, 2023. "The theoretical systems of OFDI location determinants in global north and global south economies," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    17. De Vos, Jonas, 2018. "Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 261-274.
    18. Zuo, Ting & Wei, Heng & Liu, Hao & Yang, Y. Jeffrey, 2019. "Bi-level optimization approach for configuring population and employment distributions with minimized vehicle travel demand," Journal of Transport Geography, Elsevier, vol. 74(C), pages 161-172.
    19. Navarrete-Hernandez, Pablo & Christopher Zegras, P., 2023. "Mind the perception gap: The impact of bus rapid transit infrastructure on travelers’ perceptions of affective subjective well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    20. Zhenzhen Xu & Chunfu Shao & Shengyou Wang & Chunjiao Dong, 2020. "Analysis and Prediction Model of Resident Travel Satisfaction," Sustainability, MDPI, vol. 12(18), pages 1-15, September.

    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:15:y:2023:i:18:p:13636-:d:1238318. 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.