IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10243-d1527468.html
   My bibliography  Save this article

Resilience Assessment of Flood Disasters in Zhengzhou Metropolitan Area Based on the PSR Model

Author

Listed:
  • Shubo Cheng

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
    Emergency Management Laboratory, Henan Polytechnic University, Jiaozuo 454000, China)

  • Haoying Li

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China)

Abstract

Flood disasters occur frequently and cause great losses. Improving the resilience of urban flood disasters is of great significance to improving disaster prevention and mitigation in the region. The metropolitan area is the center of regional economic development and the key to strengthening the construction of local resilience. However, there is little research on resilience in the metropolitan area. Taking nine cities in the Zhengzhou metropolitan area as the research object, this paper uses the pressure state response (PSR) model to build the evaluation system of the Zhengzhou metropolitan area’s flood disaster resilience and comprehensively uses the entropy weight method, analytic hierarchy process, kernel density estimation method, and factor contribution model to measure the temporal and spatial evolution characteristics of Zhengzhou metropolitan area’s flood disaster resilience from 2010 to 2022, excavating the development trend of the level of flood disaster resilience of members in the Zhengzhou metropolitan area, and explore the driving factors affecting the resilience of the Zhengzhou metropolitan area’s flood disaster. The results show that (1) from 2010 to 2022, the development trend of flood disaster resilience among the Zhengzhou metropolitan area members has obvious differences, the change of pressure resilience is stable, and the state resilience and response resilience increase as a whole; (2) the results show that the resilience of flood disaster in the Zhengzhou metropolitan area has obvious change characteristics in time and space, and the overall trend is to take Zhengzhou as the core to drive the surrounding members’ upward development; (3) in the driving factor analysis, the number of ordinary colleges and universities and the proportion of public security expenditure in fiscal expenditure are the main influencing factors in the resilience evaluation index. The Zhengzhou metropolitan area is the key area of economic development in Henan Province. The research results provide a reference for improving the resilience level of the Zhengzhou metropolitan area and strengthening the prevention and control of flood disasters.

Suggested Citation

  • Shubo Cheng & Haoying Li, 2024. "Resilience Assessment of Flood Disasters in Zhengzhou Metropolitan Area Based on the PSR Model," Sustainability, MDPI, vol. 16(23), pages 1-25, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10243-:d:1527468
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10243/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/23/10243/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Subhasis Das & Biswajeet Pradhan & Pravat Kumar Shit & Abdullah M. Alamri, 2020. "Assessment of Wetland Ecosystem Health Using the Pressure–State–Response (PSR) Model: A Case Study of Mursidabad District of West Bengal (India)," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    2. Maomao Zhang & Weigang Chen & Kui Cai & Xin Gao & Xuesong Zhang & Jinxiang Liu & Zhiyuan Wang & Deshou Li, 2019. "Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China," IJERPH, MDPI, vol. 16(22), pages 1-22, November.
    3. Brian R. Mackay & Richard R. Shaker, 2024. "A Megacities Review: Comparing Indicator-Based Evaluations of Sustainable Development and Urban Resilience," Sustainability, MDPI, vol. 16(18), pages 1-27, September.
    4. Zifeng Liang, 2021. "Assessment of the Construction of a Climate Resilient City: An Empirical Study Based on the Difference in Differences Model," IJERPH, MDPI, vol. 18(4), pages 1-20, February.
    5. Fan Yang & Suwen Xiong & Jiangang Ou & Ziyu Zhao & Ting Lei, 2022. "Human Settlement Resilience Zoning and Optimizing Strategies for River-Network Cities under Flood Risk Management Objectives: Taking Yueyang City as an Example," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
    6. Siqing Shan & Feng Zhao, 2023. "Social media-based urban disaster recovery and resilience analysis of the Henan deluge," 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. 118(1), pages 377-405, August.
    7. Zhilong Zhao & Zengzeng Hu & Xu Han & Lu Chen & Zhiyong Li, 2024. "Evaluation of Urban Resilience and Its Influencing Factors: A Case Study of the Yichang–Jingzhou–Jingmen–Enshi Urban Agglomeration in China," Sustainability, MDPI, vol. 16(16), pages 1-18, August.
    8. Jia Lv & Hao Zeng & Zhi Liu, 2023. "The Impact of Green Innovation Capacity on Urban Economic Resilience: Evidence from China’s Yangtze River Delta Region," Sustainability, MDPI, vol. 15(21), pages 1-28, October.
    9. Wutao Zhao & Jianguo Wang & Yuanhao Xu & Shengbo Chen & Jiawang Zhang & Siqi Tang & Guojian Wang, 2023. "Community Resilience Assessment and Identification of Barriers in the Context of Population Aging: A Case Study of Changchun City, China," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    10. Fikret Berkes, 2007. "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking," 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. 41(2), pages 283-295, May.
    11. Jingjing Pei & Wen Liu & Lu Han, 2019. "Research on Evaluation Index System of Chinese City Safety Resilience Based on Delphi Method and Cloud Model," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
    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. Shingo Yoshida & Hironori Yagi, 2021. "Long-Term Development of Urban Agriculture: Resilience and Sustainability of Farmers Facing the Covid-19 Pandemic in Japan," Sustainability, MDPI, vol. 13(8), pages 1-23, April.
    2. Yongdeng Lei & Jing’ai Wang & Yaojie Yue & Hongjian Zhou & Weixia Yin, 2014. "Rethinking the relationships of vulnerability, resilience, and adaptation from a disaster risk perspective," 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. 70(1), pages 609-627, January.
    3. Ana Raquel Nunes, 2021. "Exploring the interactions between vulnerability, resilience and adaptation to extreme temperatures," 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. 109(3), pages 2261-2293, December.
    4. Busby, Joshua & Smith, Todd G. & Krishnan, Nisha & Wight, Charles & Vallejo-Gutierrez, Santiago, 2018. "In harm's way: Climate security vulnerability in Asia," World Development, Elsevier, vol. 112(C), pages 88-118.
    5. J. Park & T. P. Seager & P. S. C. Rao & M. Convertino & I. Linkov, 2013. "Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 356-367, March.
    6. Ming-Kuang Chung & Dau-Jye Lu & Bor-Wen Tsai & Kuei-Tien Chou, 2019. "Assessing Effectiveness of PPGIS on Protected Areas by Governance Quality: A Case Study of Community-Based Monitoring in Wu-Wei-Kang Wildlife Refuge, Taiwan," Sustainability, MDPI, vol. 11(15), pages 1-20, August.
    7. Mazur, Christoph & Hoegerle, Yannick & Brucoli, Maria & van Dam, Koen & Guo, Miao & Markides, Christos N. & Shah, Nilay, 2019. "A holistic resilience framework development for rural power systems in emerging economies," Applied Energy, Elsevier, vol. 235(C), pages 219-232.
    8. Smith, Sarah Lindley & Golden, Abigail & Ramenzoni, Victoria & Zemeckis, Douglas R & Jensen, Olaf P, 2020. "Adaptation and resilience of commercial fishers in the Northeastern United States during the early stages of the COVID-19 pandemic," SocArXiv z3v2h, Center for Open Science.
    9. Felkner, John S. & Lee, Hyun & Shaikh, Sabina & Kolata, Alan & Binford, Michael, 2022. "The interrelated impacts of credit access, market access and forest proximity on livelihood strategies in Cambodia," World Development, Elsevier, vol. 155(C).
    10. Daniel Coq-Huelva & Angie Higuchi & Rafaela Alfalla-Luque & Ricardo Burgos-Morán & Ruth Arias-Gutiérrez, 2017. "Co-Evolution and Bio-Social Construction: The Kichwa Agroforestry Systems ( Chakras ) in the Ecuadorian Amazonia," Sustainability, MDPI, vol. 9(10), pages 1-19, October.
    11. Florence Jacquet & A Aboul-Naga & Bernard Hubert, 2020. "The contribution of ARIMNet to address livestock systems resilience in the Mediterranean region," Post-Print hal-03625860, HAL.
    12. Liang Zhao & Gaofeng Xu & Yan Cui & Feng Kong & Huina Gao & Xia Zhou, 2023. "Post-Disaster Restoration and Reconstruction Assessment of the Jiuzhaigou Lake Landscape and a Resilience Development Pathway," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    13. Martin Voss & Klaus Wagner, 2010. "Learning from (small) 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. 55(3), pages 657-669, December.
    14. Ríos-Núñez, Sandra M. & Coq-Huelva, Daniel & García-Trujillo, Roberto, 2013. "The Spanish livestock model: A coevolutionary analysis," Ecological Economics, Elsevier, vol. 93(C), pages 342-350.
    15. McDermott, Shana M. & Finnoff, David C. & Shogren, Jason F. & Kennedy, Chris J., 2021. "When does natural science uncertainty translate into economic uncertainty?," Ecological Economics, Elsevier, vol. 184(C).
    16. Cindy Córdoba & Catalina Triviño & Javier Toro Calderón, 2020. "Agroecosystem resilience. A conceptual and methodological framework for evaluation," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-20, April.
    17. Riyanti Djalante & Cameron Holley & Frank Thomalla & Michelle Carnegie, 2013. "Pathways for adaptive and integrated disaster resilience," 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 2105-2135, December.
    18. Reyes, René & Nelson, Harry & Zerriffi, Hisham, 2021. "How do decision makers´ ethnicity and religion influence the use of forests? Evidence from Chile," Forest Policy and Economics, Elsevier, vol. 128(C).
    19. Yehong Sun & Hongjian Zhou & Jing’ai Wang & Yi Yuan, 2012. "Farmers’ response to agricultural drought in paddy field of southern China: a case study of temporal dimensions of resilience," 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. 60(3), pages 865-877, February.
    20. C. Emdad Haque & Mahed-Ul-Islam Choudhury & Md. Sowayib Sikder, 2019. "“Events and failures are our only means for making policy changes”: learning in disaster and emergency management policies in Manitoba, Canada," 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. 98(1), pages 137-162, August.

    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:23:p:10243-:d:1527468. 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.