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Methodology and Application of Spatial Vulnerability Assessment for Evacuation Shelters in Disaster Planning

Author

Listed:
  • Hiranya Sritart

    (School of Engineering and Technology, Department of Information and Communication Technologies, Asian Institute of Technology, Post Box No 4, Pathumthani 12120, Thailand)

  • Hiroyuki Miyazaki

    (School of Engineering and Technology, Department of Information and Communication Technologies, Asian Institute of Technology, Post Box No 4, Pathumthani 12120, Thailand
    Center for Spatial Information Science, Tokyo University, Chiba 277-8568, Japan)

  • Sakiko Kanbara

    (Faculty of Nursing, University of Kochi, Ike Kochi 2751-1, Japan)

  • Takashi Hara

    (Data cradle, 1-7-2 Achi, Kurashiki 710-0055, Japan)

Abstract

Evacuation shelters are the most important means for safeguarding people in hazardous areas and situations, and thus minimizing losses, particularly those due to a disaster. Therefore, evacuation shelter assignment and evacuation planning are some of the critical factors for reducing vulnerability and increasing resilience in disaster risk reduction. However, an imbalance of shelter distribution and spatial heterogeneity of a population are the critical issues limiting the accessibility of evacuation shelters in real situations. In this study, we propose a methodology for spatial assessment to reduce vulnerability and evaluate the spatial distribution of both shelter demand and resources, considering spatial accessibility. The method was applied to the case study of Mabi, in the context of a disaster caused by the 2018 flooding. We applied this approach to evaluate the area and identified the vulnerability of the evacuation shelters and the residents. The proposed method revealed that 54.55% of the designated evacuation shelters and 59% of the total population were physically vulnerable to the flood. The results highlight, using GIS maps, that the total shelter capacity was significantly decreased to 43.86%. The outcome assessment addressed specific vulnerable shelters and the imbalance between the demand for and resources of each shelter. Accordingly, this study provides practical information and a valuable reference for supporting local governments and stakeholders to improve future disaster planning, prevention, and preparedness.

Suggested Citation

  • Hiranya Sritart & Hiroyuki Miyazaki & Sakiko Kanbara & Takashi Hara, 2020. "Methodology and Application of Spatial Vulnerability Assessment for Evacuation Shelters in Disaster Planning," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7355-:d:410381
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    References listed on IDEAS

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    1. John C. Whitehead & Bob Edwards & Marieke Van Willigen & John R. Maiolo & Kenneth Wilson & Kevin T. Smith, 2000. "“Heading for Higher Ground: Factors Affecting Real and Hypothetical Hurricane Evacuation Behavior,”," Working Papers 0006, East Carolina University, Department of Economics.
    2. Akiko Masuya & Ashraf Dewan & Robert Corner, 2015. "Population evacuation: evaluating spatial distribution of flood shelters and vulnerable residential units in Dhaka with geographic information systems," 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. 78(3), pages 1859-1882, September.
    3. Jui-Sheng Chou & Yu-Chen Ou & Min-Yuan Cheng & Min-Yuan Cheng & Chen-Ming Lee, 2013. "Emergency shelter capacity estimation by earthquake damage analysis," 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. 65(3), pages 2031-2061, February.
    4. Thomas J. Wilbanks, 2003. "Integrating climate change and sustainable development in a place-based context," Climate Policy, Taylor & Francis Journals, vol. 3(sup1), pages 147-154, November.
    5. Yunjia Ma & Wei Xu & Lianjie Qin & Xiujuan Zhao, 2019. "Site Selection Models in Natural Disaster Shelters: A Review," Sustainability, MDPI, vol. 11(2), pages 1-24, January.
    6. Laijun Zhao & Huiyong Li & Yan Sun & Rongbing Huang & Qingmi Hu & Jiajia Wang & Fei Gao, 2017. "Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    7. Gao, Jin & He, Jun & Gong, Jinghai, 2020. "A simplified method to provide evacuation guidance in a multi-exit building under emergency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    8. Ibraheem M. Karaye & Courtney Thompson & Maria Perez‐Patron & Nicholas Taylor & Jennifer A. Horney, 2020. "Estimating Evacuation Shelter Deficits in the Houston–Galveston Metropolitan Area," Risk Analysis, John Wiley & Sons, vol. 40(5), pages 1079-1091, May.
    9. Abioye, Olumide F. & Dulebenets, Maxim A. & Ozguven, Eren Erman & Moses, Ren & Boot, Walter R. & Sando, Thobias, 2020. "Assessing perceived driving difficulties under emergency evacuation for vulnerable population groups," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    10. Mingwu Ye & Jun Wang & Jing Huang & Shiyuan Xu & Zhenlou Chen, 2012. "Methodology and its application for community-scale evacuation planning against earthquake disaster," 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. 61(3), pages 881-892, April.
    11. Naomi Akiyama & Takeru Shiroiwa & Takashi Fukuda & Sachiyo Murashima & Kenshi Hayashida, 2018. "Healthcare costs for the elderly in Japan: Analysis of medical care and long-term care claim records," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-15, May.
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