IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v103y2020i3d10.1007_s11069-020-04155-w.html
   My bibliography  Save this article

Temporal and spatial variation characteristics of disaster resilience in Southwest China’s mountainous regions against the background of urbanization

Author

Listed:
  • Pei Huang

    (Sichuan Normal University
    Chinese Academy of Sciences)

  • Hongyi Pan

    (Sichuan Normal University)

  • Li Peng

    (Sichuan Normal University
    Chinese Academy of Sciences)

  • Tiantian Chen

    (Chongqing Normal University)

  • Jie Xu

    (Sichuan Normal University)

Abstract

With the growth in urbanization and the increasing challenges associated with climate change, disaster resilience has become a hot spot for researchers worldwide and significant progress in this field has been achieved. Disaster resilience is an important criterion in the judgment of a region’s ability to absorb, adapt to, and recover from a disaster. In this study, an evaluation system that is capable of reflecting large-scale disaster resilience for Southwest China’s mountainous regions was constructed. Disaster resilience indexes of a typical province in the mountainous areas of Southwest China—Sichuan Province and Yunnan Province—between 2000 and 2015 were calculated using the projection pursuit clustering (PPC) model. The temporal and spatial variation characteristics of disaster resilience were analyzed by combining them with the spatial autocorrelation principle. Additionally, the temporal and spatial coupling relations between disaster resilience and urbanization level were comprehensively analyzed. Results demonstrated that disaster resilience increased continuously across the study area during the period between 2000 and 2015. Differences in disaster resilience across different counties were observed to first increase and then decrease continuously. However, the regional disparity disaster resilience was still obvious. The spatial distribution of disaster resilience was generally high in the Southeast and low in the Northwest along the Hu Huanyong line. Disaster resilience across the region presented a significant spatial autocorrelation in different years and the agglomeration characteristics generally improved. Furthermore, a significant spatial variation was observed in the disaster resilience change rate. Results also showed a linear relationship between disaster resilience and urbanization level. Moreover, there is a positive spatial correlation between disaster resilience and urbanization level, demonstrating significant spatial agglomeration features. The consistent promotion of high-quality urbanization is extremely important in terms of improvements to a region’s capacity to cope with disasters and to achieve a management level that is comprehensive and sustainable.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:103:y:2020:i:3:d:10.1007_s11069-020-04155-w
    DOI: 10.1007/s11069-020-04155-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-020-04155-w
    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/s11069-020-04155-w?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. 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.
    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.
    3. Kyujin Jung & Minsun Song, 2015. "Linking emergency management networks to disaster resilience: bonding and bridging strategy in hierarchical or horizontal collaboration networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1465-1483, July.
    4. Li Peng & Lei Lin & Shaoquan Liu & DingDe Xu, 2017. "Interaction between risk perception and sense of place in disaster-prone mountain areas: a case study in China’s Three Gorges Reservoir Area," 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. 85(2), pages 777-792, 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. Ying Zhou & Qihao Su & Yulian Li & Xingwei Li, 2022. "Spatial-Temporal Characteristics of Multi-Hazard Resilience in Ecologically Fragile Areas of Southwest China: A Case Study in Aba," IJERPH, MDPI, vol. 19(19), pages 1-21, September.

    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. Viviana Maura Santos & Cláudio Henrique Santos Grecco & Ricardo José Matos Carvalho & Paulo Victor Rodrigues Carvalho, 2020. "A fuzzy model to assess the resilience of Protection and Civil Defense Organizations," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 735-759, June.
    2. 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.
    3. Hannah Carver & Tracey Price & Danilo Falzon & Peter McCulloch & Tessa Parkes, 2022. "Stress and Wellbeing during the COVID-19 Pandemic: A Mixed-Methods Exploration of Frontline Homelessness Services Staff Experiences in Scotland," IJERPH, MDPI, vol. 19(6), pages 1-20, March.
    4. Mehryar, Sara & Sasson, Idan & Surminski, Swenja, 2022. "Supporting urban adaptation to climate change: what role can resilience measurement tools play?," LSE Research Online Documents on Economics 113367, London School of Economics and Political Science, LSE Library.
    5. Xin Deng & Dingde Xu & Miao Zeng & Yanbin Qi, 2018. "Landslides and Cropland Abandonment in China’s Mountainous Areas: Spatial Distribution, Empirical Analysis and Policy Implications," Sustainability, MDPI, vol. 10(11), pages 1-14, October.
    6. Lei Du & Yingbin Feng & Li Yaning Tang & Wei Kang & Wei Lu, 2020. "Networks in disaster emergency management: a systematic review," 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(1), pages 1-27, August.
    7. Shuolin Geng & Qi Zhou & Mingjie Li & Dianxing Song & Yanjun Wen, 2021. "Spatial–temporal differences in disaster perception and response among new media users and the influence factors: a case study of the Shouguang Flood in Shandong province," 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(2), pages 2241-2262, January.
    8. Dingde Xu & Zhuolin Yong & Xin Deng & Yi Liu & Kai Huang & Wenfeng Zhou & Zhixing Ma, 2019. "Financial Preparation, Disaster Experience, and Disaster Risk Perception of Rural Households in Earthquake-Stricken Areas: Evidence From the Wenchuan and Lushan Earthquakes in China’s Sichuan Province," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    9. M. Rezaul Islam, 2018. "Climate Change, Natural Disasters and Socioeconomic Livelihood Vulnerabilities: Migration Decision Among the Char Land People in Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 575-593, April.
    10. Tenanoia Simona & Tauisi Taupo & Pedro Antunes, 2023. "A Scoping Review on Agency Collaboration in Emergency Management Based on the 3C Model," Information Systems Frontiers, Springer, vol. 25(1), pages 291-302, February.
    11. Xue Yang & Shili Guo & Xin Deng & Dingde Xu, 2021. "Livelihood Adaptation of Rural Households under Livelihood Stress: Evidence from Sichuan Province, China," Agriculture, MDPI, vol. 11(6), pages 1-19, May.
    12. Petersen, L. & Lange, D. & Theocharidou, M., 2020. "Who cares what it means? Practical reasons for using the word resilience with critical infrastructure operators," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    13. KyungWoo Kim & Simon A. Andrew & Kyujin Jung, 2017. "Public Health Network Structure and Collaboration Effectiveness during the 2015 MERS Outbreak in South Korea: An Institutional Collective Action Framework," IJERPH, MDPI, vol. 14(9), pages 1-15, September.
    14. Li Peng & Qianyu Li & Wei Deng & Ying Liu, 2021. "What Promotes Post-Earthquake Economic Recovery: The Role of Counterpart Assistance Policy After the Wenchuan Ms 8.0 Earthquake, China," SAGE Open, , vol. 11(3), pages 21582440211, July.
    15. Minsun Song, 2018. "Does having a strong commitment matter in building sustainable networks?," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 551-564, March.
    16. Dingde Xu & Chen Qing & Xin Deng & Zhuolin Yong & Wenfeng Zhou & Zhixing Ma, 2020. "Disaster Risk Perception, Sense of Pace, Evacuation Willingness, and Relocation Willingness of Rural Households in Earthquake-Stricken Areas: Evidence from Sichuan Province, China," IJERPH, MDPI, vol. 17(2), pages 1-19, January.
    17. Mehryar, Sara & Sasson, Idan & Surminski, Swenja, 2021. "Supporting urban adaptation to climate change: what role can resilience measurement tools play?," LSE Research Online Documents on Economics 111057, London School of Economics and Political Science, LSE Library.
    18. Melissa L. Finucane & Joie Acosta & Amanda Wicker & Katie Whipkey, 2020. "Short-Term Solutions to a Long-Term Challenge: Rethinking Disaster Recovery Planning to Reduce Vulnerabilities and Inequities," IJERPH, MDPI, vol. 17(2), pages 1-19, January.
    19. Rözer, Viktor & Surminski, Swenja, 2021. "Current and future flood risk of new build homes across different socio-economic neighbourhoods in England and Wales," LSE Research Online Documents on Economics 108923, London School of Economics and Political Science, LSE Library.
    20. 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.

    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:103:y:2020:i:3:d:10.1007_s11069-020-04155-w. 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.