IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7185-d1132940.html
   My bibliography  Save this article

Community Resilience Assessment and Identification of Barriers in the Context of Population Aging: A Case Study of Changchun City, China

Author

Listed:
  • Wutao Zhao

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Jianguo Wang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Yuanhao Xu

    (College of Public Administration, Changchun University of Technology, Changchun 130012, China)

  • Shengbo Chen

    (College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China)

  • Jiawang Zhang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Siqi Tang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Guojian Wang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

Abstract

As a susceptible demographic, elderly individuals are more prone to risks during sudden disasters. With the exacerbation of aging, new challenges arise for urban disaster reduction and prevention. To address this, the key is to establish a community-scale resilience assessment framework based on the aging background and to summarize factors that influence the resilience level of communities. This approach is a crucial step towards seeking urban disaster prevention and reduction from the bottom up, and serves as an important link to enhance the capacity of urban disaster reduction. This paper explores community resilience evaluation indicators under the background of aging, builds a community resilience evaluation index system based on the Pressure–State–Response, uses the entropy weight method to weigh the indicators, and carries out a resilience evaluation of 507 communities in the main urban area of Changchun. The empirical results indicate significant spatial differentiation of community resilience in the main urban area of Changchun. Moreover, the regional development is unbalanced, showing a spatial distribution pattern of weakness in the middle and strength in the periphery. The ring road network highlights the difference between the new and old urban areas. The high contribution indexes of community resilience in the main urban area of Changchun were concentrated on disaster relief materials input, community self-rescue ability, and disaster cognition ability. Finally, strategies to improve community resilience are proposed from the perspectives of stress, state, and response, emphasizing community residents’ participation, conducting disaster prevention and reduction training, and improving community response-ability.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7185-:d:1132940
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7185/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7185/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Susan Cutter, 2016. "The landscape of disaster resilience indicators in the USA," 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. 80(2), pages 741-758, January.
    2. Kunjie Peng & Xiaorong He & Chunxiao Xu, 2023. "Coupling Coordination Relationship and Dynamic Response between Urbanization and Urban Resilience: Case of Yangtze River Delta," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    3. Guoqu Deng & Jianbin Si & Xiaojing Zhao & Qian Han & Hu Chen & Dragan PamuÄ ar, 2022. "Evaluation of Community Disaster Resilience (CDR): Taking Luoyang Community as an Example," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-21, October.
    4. Mei Yang & Mengyun Jiao & Jinyu Zhang, 2022. "Spatio-Temporal Analysis and Influencing Factors of Rural Resilience from the Perspective of Sustainable Rural Development," IJERPH, MDPI, vol. 19(19), pages 1-24, September.
    5. Yu Chen & Shuangshuang Liu & Wenbo Ma & Qian Zhou, 2023. "Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-26, February.
    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. Jianfu Lin & Yilin Li & Lixin Wang & Junfang Wang & Tianyu Zhang & Weilin Wu, 2024. "A Bayesian and Analytic Hierarchy Process-Based Multilevel Community Resilience Evaluation Method and Application Study," Sustainability, MDPI, vol. 16(14), pages 1-45, July.

    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. Sullivan, Daniel & Schmitt, Harrison J. & Calloway, Eric E. & Clausen, Whitney & Tucker, Pamela & Rayman, Jamie & Gerhardstein, Ben, 2021. "Chronic environmental contamination: A narrative review of psychosocial health consequences, risk factors, and pathways to community resilience," Social Science & Medicine, Elsevier, vol. 276(C).
    2. Fang Zhang & Dengyu Wang & Xi Zhou & Fan Ye, 2024. "Community Resilience Evaluation and Construction Strategies in the Perspective of Public Health Emergencies: A Case Study of Six Communities in Nanjing," Sustainability, MDPI, vol. 16(16), pages 1-24, August.
    3. Zobel, Christopher W. & Baghersad, Milad, 2020. "Analytically comparing disaster resilience across multiple dimensions," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    4. Ying Zhang & Yunyan Li, 2024. "A Study on the Coupling Coordination of Urban Resilience and the Tourism Economy in the Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 16(12), pages 1-20, June.
    5. Meiyan Gao & Zongmin Wang & Haibo Yang, 2022. "Review of Urban Flood Resilience: Insights from Scientometric and Systematic Analysis," IJERPH, MDPI, vol. 19(14), pages 1-19, July.
    6. Maddah, Negin & Heydari, Babak, 2024. "Building back better: Modeling decentralized recovery in sociotechnical systems using strategic network dynamics," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    7. Yang Wei & Tetsuo Kidokoro & Fumihiko Seta & Bo Shu, 2024. "Spatial-Temporal Assessment of Urban Resilience to Disasters: A Case Study in Chengdu, China," Land, MDPI, vol. 13(4), pages 1-24, April.
    8. Sierra C. Woodruff & Patrick Regan, 2019. "Quality of national adaptation plans and opportunities for improvement," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(1), pages 53-71, January.
    9. Vidya Diwakar & Amanda Lenhardt & Emmanuel Tumusiime & Joseph Simbaya & Arthur Moonga, 2023. "The Relationship Between Psychosocial Interventions and Child Wellbeing in Zambia," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 395-420, February.
    10. Jesse M. Keenan, 2018. "Regional resilience trust funds: an exploratory analysis for leveraging insurance surcharges," Environment Systems and Decisions, Springer, vol. 38(1), pages 118-139, March.
    11. Maria Cerreta & Simona Panaro & Giuliano Poli, 2021. "A Spatial Decision Support System for Multifunctional Landscape Assessment: A Transformative Resilience Perspective for Vulnerable Inland Areas," Sustainability, MDPI, vol. 13(5), pages 1-22, March.
    12. Fang Dong & Jiyao Yin & Jirubin Xiang & Zhangyu Chang & Tiantian Gu & Feihu Han, 2023. "EWM-FCE-ODM-Based Evaluation of Smart Community Construction: From the Perspective of Residents’ Sense of Gain," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    13. Daniel Feldmeyer & Daniela Wilden & Christian Kind & Theresa Kaiser & Rüdiger Goldschmidt & Christian Diller & Jörn Birkmann, 2019. "Indicators for Monitoring Urban Climate Change Resilience and Adaptation," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    14. Qiaoli Chang & Yuying Sha & Yi Chen, 2024. "The Coupling Coordination and Influencing Factors of Urbanization and Ecological Resilience in the Yangtze River Delta Urban Agglomeration, China," Land, MDPI, vol. 13(1), pages 1-24, January.
    15. Leslie Gillespie‐Marthaler & Katherine Nelson & Hiba Baroud & Mark Abkowitz, 2019. "Selecting Indicators for Assessing Community Sustainable Resilience," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2479-2498, November.
    16. Koko Warner & Zinta Zommers & Anita Wreford & Margot Hurlbert & David Viner & Jill Scantlan & Kenna Halsey & Kevin Halsey & Chet Tamang, 2019. "Characteristics of Transformational Adaptation in Climate-Land-Society Interactions," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    17. Hamed Khatibi & Suzanne Wilkinson & Graham Eriwata & Lukuba N Sweya & Mostafa Baghersad & Heiman Dianat & Khaled Ghaedi & Ahad Javanmardi, 2022. "An integrated framework for assessment of smart city resilience," Environment and Planning B, , vol. 49(5), pages 1556-1577, June.
    18. Qiaoyun Yang & Dan Yang & Peng Li & Shilu Liang & Zhenghu Zhang, 2021. "A Bibliometric and Visual Analysis of Global Community Resilience Research," IJERPH, MDPI, vol. 18(20), pages 1-25, October.
    19. Chenchen Shi & Naliang Guo & Xiaoping Zhu & Feng Wu, 2022. "Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities," Land, MDPI, vol. 11(10), pages 1-23, October.
    20. Monica Schoch-Spana & Kimberly Gill & Divya Hosangadi & Cathy Slemp & Robert Burhans & Janet Zeis & Eric G. Carbone & Jonathan Links, 2019. "The COPEWELL Rubric: A Self-Assessment Toolkit to Strengthen Community Resilience to Disasters," IJERPH, MDPI, vol. 16(13), pages 1-17, July.

    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:15:y:2023:i:9:p:7185-:d:1132940. 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.