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Flood disaster resilience evaluation of Chinese regions: integrating the hesitant fuzzy linguistic term sets with prospect theory

Author

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  • Ying Luo

    (Sichuan University)

  • Xudong Chen

    (Chengdu University of Technology)

  • Liming Yao

    (Sichuan University
    Sichuan University)

Abstract

The aggravation of flood risk has been regarded as a serious threat to the natural ecological environment and the development of human society worldwide. There is a large population living on the banks of rivers, lakes and other flood plains. Since the introduction of the concept of disaster resilience, it has developed rapidly and has been widely applied in the field of disaster management. We introduce a new method by taking prospect theory as the main idea and incorporating the hesitant fuzzy linguistic term sets into the evaluation process. We illustrate its application through a case study of the provincial-level regions along the Yangtze River Basin. We find that the flood resilience in the west is generally stronger than that in the east. The strongest one is in Yunnan due to its unique natural environmental advantages while the weakest one is in Jiangxi because of its poor and immature natural, social, economic and management performance. We put forward specific management insights that consider different levels of resilience and the actual situation in each region. Graphic abstract

Suggested Citation

  • Ying Luo & Xudong Chen & Liming Yao, 2021. "Flood disaster resilience evaluation of Chinese regions: integrating the hesitant fuzzy linguistic term sets with prospect theory," 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. 105(1), pages 667-690, January.
    • Handle: RePEc:spr:nathaz:v:105:y:2021:i:1:d:10.1007_s11069-020-04330-z
    DOI: 10.1007/s11069-020-04330-z
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    1. Seung-Ki Min & Xuebin Zhang & Francis W. Zwiers & Gabriele C. Hegerl, 2011. "Human contribution to more-intense precipitation extremes," Nature, Nature, vol. 470(7334), pages 378-381, February.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Adriana Keating & Karen Campbell & Reinhard Mechler & Piotr Magnuszewski & Junko Mochizuki & Wei Liu & Michael Szoenyi & Colin McQuistan, 2017. "Disaster resilience: what it is and how it can engender a meaningful change in development policy," Development Policy Review, Overseas Development Institute, vol. 35(1), pages 65-91, January.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. Juan-Juan Peng & Jian-Qiang Wang & Xiao-Hui Wu, 2016. "Novel Multi-criteria Decision-making Approaches Based on Hesitant Fuzzy Sets and Prospect Theory," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 621-643, May.
    6. Honghu Sun & Xianfu Cheng & Mengqin Dai, 2016. "Regional flood disaster resilience evaluation based on analytic network process: a case study of the Chaohu Lake Basin, Anhui Province, China," 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. 82(1), pages 39-58, May.
    7. Huchang Liao & Di Wu & Yulong Huang & Peijia Ren & Zeshui Xu & Mohit Verma, 2018. "Green Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEE," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    8. Jiabo Yin & Pierre Gentine & Sha Zhou & Sylvia C. Sullivan & Ren Wang & Yao Zhang & Shenglian Guo, 2018. "Large increase in global storm runoff extremes driven by climate and anthropogenic changes," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    9. Shin-Liang Chan & Wann-Ming Wey & Pin-Huai Chang, 2014. "Establishing Disaster Resilience Indicators for Tan-sui River Basin in Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(1), pages 387-418, January.
    10. Bilal M. Ayyub, 2014. "Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 340-355, February.
    11. Kathleen Sherrieb & Fran Norris & Sandro Galea, 2010. "Measuring Capacities for Community Resilience," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 227-247, November.
    12. Kelly Bergstrand & Brian Mayer & Babette Brumback & Yi Zhang, 2015. "Assessing the Relationship Between Social Vulnerability and Community Resilience to Hazards," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 391-409, June.
    13. D.K. Yoon & Jung Eun Kang & Samuel D. Brody, 2016. "A measurement of community disaster resilience in Korea," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(3), pages 436-460, March.
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