IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v105y2021i1d10.1007_s11069-020-04330-z.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-020-04330-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-020-04330-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    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. Firas Gerges & Hani Nassif & Xiaolong Geng & Holly A. Michael & Michel C. Boufadel, 2022. "GIS-based approach for evaluating a community intrinsic resilience index," 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 1271-1299, March.
    2. Hongwei Li & Erqi Xu & Hongqi Zhang, 2021. "High-resolution assessment of urban disaster resilience: a case study of Futian District, Shenzhen, 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. 108(1), pages 1001-1024, August.
    3. Aleksandra Król & Jerzy Księżak & Elżbieta Kubińska & Stelios Rozakis, 2018. "Evaluation of Sustainability of Maize Cultivation in Poland. A Prospect Theory—PROMETHEE Approach," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    4. Shoji, Isao & Kanehiro, Sumei, 2016. "Disposition effect as a behavioral trading activity elicited by investors' different risk preferences," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 104-112.
    5. Boone, Jan & Sadrieh, Abdolkarim & van Ours, Jan C., 2009. "Experiments on unemployment benefit sanctions and job search behavior," European Economic Review, Elsevier, vol. 53(8), pages 937-951, November.
    6. Jos'e Cl'audio do Nascimento, 2019. "Behavioral Biases and Nonadditive Dynamics in Risk Taking: An Experimental Investigation," Papers 1908.01709, arXiv.org, revised Apr 2023.
    7. Francesco GUALA, 2017. "Preferences: Neither Behavioural nor Mental," Departmental Working Papers 2017-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    8. Bin Zou, 2017. "Optimal Investment In Hedge Funds Under Loss Aversion," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-32, May.
    9. Nicholas Barberis, 2012. "A Model of Casino Gambling," Management Science, INFORMS, vol. 58(1), pages 35-51, January.
    10. Goytom Abraha Kahsay & Daniel Osberghaus, 2018. "Storm Damage and Risk Preferences: Panel Evidence from Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 301-318, September.
    11. Carolin Bock & Maximilian Schmidt, 2015. "Should I stay, or should I go? – How fund dynamics influence venture capital exit decisions," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 68-82, November.
    12. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Documentos de Trabajo del ICAE 2013-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Aug 2013.
    13. Paredes-Frigolett, Harold, 2016. "Modeling the effect of responsible research and innovation in quadruple helix innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 126-133.
    14. Tetenov, Aleksey, 2012. "Statistical treatment choice based on asymmetric minimax regret criteria," Journal of Econometrics, Elsevier, vol. 166(1), pages 157-165.
    15. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    16. Tomas Bonavia & Josué Brox-Ponce, 2018. "Shame in decision making under risk conditions: Understanding the effect of transparency," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-16, February.
    17. Massimiliano Amarante & Mario Ghossoub & Edmund Phelps, 2012. "Contracting for Innovation under Knightian Uncertainty," Cahiers de recherche 18-2012, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    18. Mohammed Abdellaoui & Olivier L’Haridon & Horst Zank, 2010. "Separating curvature and elevation: A parametric probability weighting function," Journal of Risk and Uncertainty, Springer, vol. 41(1), pages 39-65, August.
    19. Plante, Charles & Lassoued, Rim & Phillips, Peter W.B., 2017. "The Social Determinants of Cognitive Bias: The Effects of Low Capability on Decision Making in a Framing Experiment," SocArXiv u62cx, Center for Open Science.
    20. Wang, Peiwen & Chen, Minghua & Wu, Ji & Yan, Yuanyun, 2023. "Do peer effects matter in bank risk? Some cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).

    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:spr:nathaz:v:105:y:2021:i:1:d:10.1007_s11069-020-04330-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.