IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p3933-d1390424.html
   My bibliography  Save this article

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process

Author

Listed:
  • Ke Zhang

    (Department of Crisisonomy & National Crisisonomy Institute, Chungbuk National University, Chungbuk 28644, Republic of Korea)

  • Jae Eun Lee

    (Department of Crisisonomy & National Crisisonomy Institute, Chungbuk National University, Chungbuk 28644, Republic of Korea)

Abstract

This study aims to assess the operational capability of disaster and emergency management resources (DEMRs), which is not only critical for effective loss reduction and resilience, but also facilitates the sharing and optimal use of resources for the more effective achievement of sustainable development. This study constructs an evaluation index system of the operational capability of DEMRs, encompassing four key aspects: resource planning, organizational management capability, resource support capability, and information processing capability. It focuses on identifying the factors that influence the operational capability of DEMRs in China and Korea, comparing and analyzing the relative importance and priority of each evaluation domain and indicator within these countries. The results show that the organizational management capability is most significant in China, whereas the resource support capability is prioritized in Korea. A comparative analysis of the local weight of indicators within each domain revealed the largest discrepancy between China and Korea in the information processing capability domain. This study concludes by calculating global weights, identifying the fast response capability and resource allocation capability as the most impactful factors on the operational capability of DEMRs, and highlighting their critical role in disaster and emergency management.

Suggested Citation

  • Ke Zhang & Jae Eun Lee, 2024. "Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process," Sustainability, MDPI, vol. 16(10), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:3933-:d:1390424
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/3933/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/10/3933/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manca, Davide & Brambilla, Sara, 2011. "A methodology based on the Analytic Hierarchy Process for the quantitative assessment of emergency preparedness and response in road tunnels," Transport Policy, Elsevier, vol. 18(5), pages 657-664, September.
    2. Yong-ling Zhang & Lu Chen, 2016. "Emergency materials reserve of government for natural disasters," 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. 81(1), pages 41-54, March.
    3. Xiaoxin Zhu & Guanghai Zhang & Baiqing Sun, 2019. "A comprehensive literature review of the demand forecasting methods of emergency resources from the perspective of artificial intelligence," 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. 97(1), pages 65-82, May.
    4. Anna M. Cox & Jeffrey Alwang & Thomas G. Johnson, 2000. "Local Preferences for Economic Development Outcomes: Analytical Hierarchy Procedure," Growth and Change, Wiley Blackwell, vol. 31(3), pages 341-366.
    5. Yong-ling Zhang & Lu Chen, 2016. "Emergency materials reserve of government for natural disasters," 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. 81(1), pages 41-54, March.
    6. Rodríguez-Espíndola, Oscar & Albores, Pavel & Brewster, Christopher, 2018. "Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods," European Journal of Operational Research, Elsevier, vol. 264(3), pages 978-993.
    7. Kai Wang & Zhe Wang & Jun Deng & Yuanyuan Feng & Quanfang Li, 2022. "Study on the Evaluation of Emergency Management Capacity of Resilient Communities by the AHP-TOPSIS Method," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    8. Huiquan Wang & Hong Ye & Lu Liu & Jixia Li, 2022. "Evaluation and Obstacle Analysis of Emergency Response Capability in China," IJERPH, MDPI, vol. 19(16), pages 1-25, August.
    9. Linpei Zhai & Jae Eun Lee, 2023. "Analyzing the Disaster Preparedness Capability of Local Government Using AHP: Zhengzhou 7.20 Rainstorm Disaster," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    10. Xin Miao & David Banister & Yanhong Tang, 2013. "Embedding resilience in emergency resource management to cope with natural hazards," 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. 69(3), pages 1389-1404, December.
    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. Xiaoxin Zhu & Yanyan Wang & David Regan & Baiqing Sun, 2020. "A Quantitative Study on Crucial Food Supplies after the 2011 Tohoku Earthquake Based on Time Series Analysis," IJERPH, MDPI, vol. 17(19), pages 1-13, September.
    2. Jianfang Shao & Changyong Liang & Xihui Wang & Xiang Wang & Liang Liang, 2020. "Relief Demand Calculation in Humanitarian Logistics Using Material Classification," IJERPH, MDPI, vol. 17(2), pages 1-25, January.
    3. Zhang, Meng & Kong, Zhaojun, 2023. "A two-phase combinatorial double auction and negotiation mechanism for socialized joint reserve mode in emergency preparedness," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    4. Jiajian Huang & Longfei Li & Peng Jiang & Siqi Zhang, 2024. "DEMATEL-Based ANP Model for Identifying Critical Indicators in Sustainable Emergency Material Reserve Systems," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    5. Xiaoxin Zhu & David Regan & Baiqing Sun, 2022. "Does exploring the characteristics of emergency supplies really matter for disaster response operations?," 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. 110(1), pages 175-189, January.
    6. Fattahi, Mohammad & Keyvanshokooh, Esmaeil & Kannan, Devika & Govindan, Kannan, 2023. "Resource planning strategies for healthcare systems during a pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 192-206.
    7. Kai Wang & Yuanyuan Feng & Hua Yang & Jun Deng & Quanfang Li, 2023. "Evaluation of Community Emergency Management Capability Based on SWOT Analysis—A Case Study," Sustainability, MDPI, vol. 15(17), pages 1-14, August.
    8. De Boeck, Kim & Decouttere, Catherine & Jónasson, Jónas Oddur & Vandaele, Nico, 2022. "Vaccine supply chains in resource-limited settings: Mitigating the impact of rainy season disruptions," European Journal of Operational Research, Elsevier, vol. 301(1), pages 300-317.
    9. Харизма Б. & Реми С. & Нур А. М., 2019. "Определение Приоритетов Местного Самоуправления В Инфраструктуре Здравоохранения С Использованием Метода Аналитической Иерархии: Пример Местных Органов Власти В Провинции Западная Ява," Вопросы государственного и муниципального управления // Public administration issues, НИУ ВШЭ, issue 5, pages 155-182.
    10. Diehlmann, Florian & Klein, Miriam & Wiens, Marcus & Lüttenberg, Markus & Schultmann, Frank, 2020. "On the value of accurate demand information in public-private emergency collaborations," Working Paper Series in Production and Energy 51, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    11. Sperling, Martina & Schryen, Guido, 2022. "Decision support for disaster relief: Coordinating spontaneous volunteers," European Journal of Operational Research, Elsevier, vol. 299(2), pages 690-705.
    12. Rezapour, Shabnam & Naderi, Nazanin & Morshedlou, Nazanin & Rezapourbehnagh, Shaghayegh, 2018. "Optimal deployment of emergency resources in sudden onset disasters," International Journal of Production Economics, Elsevier, vol. 204(C), pages 365-382.
    13. Mikio Ishiwatari & Daisuke Sasaki, 2023. "Special Issue “Disaster Risk Reduction and Climate Change Adaptation: An Interdisciplinary Approach”," IJERPH, MDPI, vol. 20(3), pages 1-4, February.
    14. Lu Liu & Jingjing Pei & Huiquan Wang & Yun Luo, 2023. "The Evaluation and Obstacle Analysis of Urban Safety Resilience Based on Multi-Factor Perspective in Beijing," Land, MDPI, vol. 12(10), pages 1-29, October.
    15. Vijaya Sunder M & Anupama Prashar, 2023. "State and citizen responsiveness in fighting a pandemic crisis: A systems thinking perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 170-193, January.
    16. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Homaei, Shamim, 2020. "Toward a coordination of inventory and distribution schedules for blood in disasters," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    17. Christine Albano & Michael Dettinger & Maureen McCarthy & Kevin Schaller & Toby Welborn & Dale Cox, 2016. "Application of an extreme winter storm scenario to identify vulnerabilities, mitigation options, and science needs in the Sierra Nevada mountains, USA," 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. 80(2), pages 879-900, January.
    18. Emmanuel Mavhura, 2020. "Learning from the tropical cyclones that ravaged Zimbabwe: policy implications for effective disaster preparedness," 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. 104(3), pages 2261-2275, December.
    19. Seddighi, Hamed & Baharmand, Hossein, 2020. "Exploring the role of the sharing economy in disasters management," Technology in Society, Elsevier, vol. 63(C).
    20. Yücel, E. & Salman, F.S. & Arsik, I., 2018. "Improving post-disaster road network accessibility by strengthening links against failures," European Journal of Operational Research, Elsevier, vol. 269(2), pages 406-422.

    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:10:p:3933-:d:1390424. 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.