IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v82y2016i1d10.1007_s11069-016-2178-3.html
   My bibliography  Save this article

Regional flood disaster resilience evaluation based on analytic network process: a case study of the Chaohu Lake Basin, Anhui Province, China

Author

Listed:
  • Honghu Sun

    (Anhui Normal University)

  • Xianfu Cheng

    (Anhui Normal University)

  • Mengqin Dai

    (Anhui Normal University)

Abstract

Improving natural disaster resilience is one of the important methods for coping with climate change and natural disasters, and quantitative evaluation of natural disaster resilience is the primary problem to be solved urgently. In this paper, an index system for evaluating regional flood disaster resilience is constructed based on a review of the literature regarding natural disaster resilience and with full consideration of the five dimensions (i.e., nature, society, economy, technology and management) which have a great influence on flood disaster resilience. Subsequently, the overall level and five dimensions of flood disaster resilience in the Chaohu Lake Basin can be evaluated quantitatively by adopting analytic network process to dynamically analyze the influencing relationships of factors. The results obtained in this research indicate that: (1) overall, the majority of the Chaohu Lake Basin exhibits intermediate to high flood disaster resilience, but there are distinct variations within the basin. The resilience is clearly influenced by the natural dimension indexes, the highest resilience levels are mainly located in the hilly, mountainous regions, and the lowest resilience levels mainly occur in the south–southeast plain of the Chaohu Lake Basin and the river estuary of the Chaohu Lake. Considering the administrative regions, the regions with the greatest areas of intermediate and high resilience are Hefei Municipal District, Chaohu City, Feidong County, Feixi County, Lujiang County, Hanshan County, Shucheng County, most parts of He County, Wuwei County and Jiujiang District of Wuhu City. (2) Preliminary validation indicates that evaluation results regarding flood disaster resilience in the Chaohu Lake Basin are consistent with the actual conditions. Therefore, the evaluation results and method can provide a valuable approach to the rapid diagnosis of weak links in the construction of flood disaster resilience infrastructure and will ultimately improve the level of flood disaster resilience in the Chaohu Lake Basin.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:82:y:2016:i:1:d:10.1007_s11069-016-2178-3
    DOI: 10.1007/s11069-016-2178-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-016-2178-3
    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/s11069-016-2178-3?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. Plough, A. & Fielding, J.E. & Chandra, A. & Williams, M. & Eisenman, D. & Wells, K.B. & Law, G.Y. & Fogleman, S. & Magaña, A., 2013. "Building community disaster resilience: Perspectives from a large urban county department of public health," American Journal of Public Health, American Public Health Association, vol. 103(7), pages 1190-1197.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Honghu Sun & Feng Zhen & Yupei Jiang, 2020. "Study on the Characteristics of Urban Residents’ Commuting Behavior and Influencing Factors from the Perspective of Resilience Theory: Theoretical Construction and Empirical Analysis from Nanjing, Chi," IJERPH, MDPI, vol. 17(5), pages 1-17, February.
    2. Lu Liu & Yuxin Meng & Desheng Wu & Qiying Ran & Jianhong Cao & Zilian Liu, 2023. "Impact of haze pollution and human capital on economic resilience: evidence from prefecture-level cities in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 13429-13449, November.
    3. Jingpeng Guo & Kebiao Mao & Yinghui Zhao & Zhong Lu & Xiaoping Lu, 2019. "Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    4. Hossein Yousefi & Hamed Hafeznia & Amin Yousefi-Sahzabi, 2018. "Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran," Energies, MDPI, vol. 11(7), pages 1-18, June.
    5. Chunqi Qiu & Yufeng Li & Alan L. Wright & Cheng Wang & Jiayi Xu & Shiwei Zhou & Wanchun Huang & Yanhui Wu & Yinglei Zhang & Hongyu Liu, 2021. "Spatial Effects of Urban-Rural Ditch Connectivity Gradient Changes on Water Quality to Support Ditch Optimization and Management," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    6. Shiyao Zhu & Haibo Feng & Qiuhu Shao, 2023. "Evaluating Urban Flood Resilience within the Social-Economic-Natural Complex Ecosystem: A Case Study of Cities in the Yangtze River Delta," Land, MDPI, vol. 12(6), pages 1-22, June.
    7. 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.
    8. Huagui Zhu & Fan Liu, 2021. "A Group-Decision-Making Framework for Evaluating Urban Flood Resilience: A Case Study in Yangtze River," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    9. Devendra K. Yadav & Akhilesh Barve, 2019. "Prioritization of cyclone preparedness activities in humanitarian supply chains using fuzzy analytical network process," 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(2), pages 683-726, June.
    10. Xufang Mu & Chuanglin Fang & Zhiqi Yang & Xiaomin Guo, 2022. "Impact of the COVID-19 Epidemic on Population Mobility Networks in the Beijing–Tianjin–Hebei Urban Agglomeration from a Resilience Perspective," Land, MDPI, vol. 11(5), pages 1-23, May.
    11. 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.
    12. Han, Lin & Zhao, Xudong & Chen, Zhilong & Gong, Huadong & Hou, Benwei, 2021. "Assessing resilience of urban lifeline networks to intentional attacks," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    13. Cui, Yi & Zhou, Yuliang & Jin, Juliang & Jiang, Shangming & Wu, Chengguo & Ning, Shaowei, 2023. "Spatiotemporal characteristics and obstacle factors identification of agricultural drought disaster risk: A case study across Anhui Province, China," Agricultural Water Management, Elsevier, vol. 289(C).

    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. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Delphi-based consensus study into a framework of community resilience to 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. 75(3), pages 2221-2245, February.
    2. Yusuke Toyoda, 2021. "Survey paper: achievements and perspectives of community resilience approaches to societal systems," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 705-756, October.
    3. Hsin-I Shih & Tzu-Yuan Chao & Yi-Ting Huang & Yi-Fang Tu & Tzu-Ching Sung & Jung-Der Wang & Chia-Ming Chang, 2020. "Increased Medical Visits and Mortality among Adults with Cardiovascular Diseases in Severely Affected Areas after Typhoon Morakot," IJERPH, MDPI, vol. 17(18), pages 1-16, September.
    4. Pei Huang & Hongyi Pan & Li Peng & Tiantian Chen & Jie Xu, 2020. "Temporal and spatial variation characteristics of disaster resilience in Southwest China’s mountainous regions against the background of urbanization," 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. 103(3), pages 3783-3802, September.
    5. Alan Kirschenbaum, 2021. "Reducing patient surge: community based social networks as first responders," 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 163-175, August.
    6. Fei Ma & Zuohang Wang & Qipeng Sun & Kum Fai Yuen & Yanxia Zhang & Huifeng Xue & Shumei Zhao, 2020. "Spatial–Temporal Evolution of Urban Resilience and Its Influencing Factors: Evidence from the Guanzhong Plain Urban Agglomeration," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    7. Ming Zhong & Lu Xiao & Qian Zhang & Tao Jiang, 2021. "Risk Perception, Risk Communication, and Mitigation Actions of Flash Floods: Results from a Survey in Three Types of Communities," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    8. Ke Cui & Ziqiang Han & Dongming Wang, 2018. "Resilience of an Earthquake-Stricken Rural Community in Southwest China: Correlation with Disaster Risk Reduction Efforts," IJERPH, MDPI, vol. 15(3), pages 1-14, February.
    9. Yunlan Zhang & Xiaomin Jiang & Feng Zhang, 2024. "Urban Flood Resilience Assessment of Zhengzhou Considering Social Equity and Human Awareness," Land, MDPI, vol. 13(1), pages 1-23, January.
    10. David Eisenman & Anita Chandra & Stella Fogleman & Aizita Magana & Astrid Hendricks & Ken Wells & Malcolm Williams & Jennifer Tang & Alonzo Plough, 2014. "The Los Angeles County Community Disaster Resilience Project — A Community-Level, Public Health Initiative to Build Community Disaster Resilience," IJERPH, MDPI, vol. 11(8), pages 1-16, August.
    11. Odeya Cohen & Stav Shapira & Limor Aharonson-Daniel & Judith Shamian, 2019. "Confidence in Health-Services Availability during Disasters and Emergency Situations—Does it Matter?—Lessons Learned from an Israeli Population Survey," IJERPH, MDPI, vol. 16(19), pages 1-12, September.
    12. Wenyan Pan & Mengwei Yan & Zhikun Zhao & Muhammad Awais Gulzar, 2022. "Flood Risk Assessment and Management in Urban Communities: The Case of Communities in Wuhan," Land, MDPI, vol. 12(1), pages 1-14, December.
    13. Jorge Moya & María Goenechea, 2022. "An Approach to the Unified Conceptualization, Definition, and Characterization of Social Resilience," IJERPH, MDPI, vol. 19(9), pages 1-15, May.
    14. Suzanne Phibbs & Christine Kenney & Graciela Rivera-Munoz & Thomas J. Huggins & Christina Severinsen & Bruce Curtis, 2018. "The Inverse Response Law: Theory and Relevance to the Aftermath of Disasters," IJERPH, MDPI, vol. 15(5), pages 1-25, May.
    15. Christine Camacho & Roger T. Webb & Peter Bower & Luke Munford, 2024. "Adapting the Baseline Resilience Indicators for Communities (BRIC) Framework for England: Development of a Community Resilience Index," IJERPH, MDPI, vol. 21(8), pages 1-25, August.
    16. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Disaster community resilience assessment method: a consensus-based Delphi and AHP approach," 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(1), pages 395-416, August.
    17. Ming Zhong & Kairong Lin & Guoping Tang & Qian Zhang & Yang Hong & Xiaohong Chen, 2020. "A Framework to Evaluate Community Resilience to Urban Floods: A Case Study in Three Communities," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    18. Heng Zhang & Wann-Ming Wey & Syuan-Jhang Chen, 2017. "Demand-Oriented Design Strategies for Low Environmental Impact Housing in the Tropics," Sustainability, MDPI, vol. 9(9), pages 1-21, September.
    19. Chia-Ming Chang & Tzu-Yuan Stessa Chao & Yi-Ting Huang & Yi-Fang Tu & Tzu-Ching Sung & Jung-Der Wang & Hsin-I Shih, 2021. "Maintaining Quality of Care among Dialysis Patients in Affected Areas after Typhoon Morakot," IJERPH, MDPI, vol. 18(14), pages 1-13, July.
    20. Robin Keegan & Leslie T. Grover & David Patron & Olivia K. Sugarman & Krystal Griffith & Suzy Sonnier & Benjamin F. Springgate & Lauren Crapanzano Jumonville & Sarah Gardner & Willie Massey & Jeanne M, 2018. "Case Study of Resilient Baton Rouge: Applying Depression Collaborative Care and Community Planning to Disaster Recovery," IJERPH, MDPI, vol. 15(6), pages 1-13, June.

    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:82:y:2016:i:1:d:10.1007_s11069-016-2178-3. 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.