Evaluation of Community Disaster Resilience (CDR): Taking Luoyang Community as an Example

被引:8
|
作者
Deng, Guoqu [1 ]
Si, Jianbin [1 ]
Zhao, Xiaojing [1 ]
Han, Qian [1 ]
Chen, Hu [1 ]
机构
[1] Henan Univ Sci & Technol, Management Sch, Luoyang 471023, Peoples R China
关键词
NATURAL HAZARDS; FRAMEWORK; SELECTION; TOPSIS; MODEL; AREA;
D O I
10.1155/2022/5177379
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The evaluation of community disaster resilience is of great practical importance for building low-risk, sustainable, and disaster-resistant cities. With 12 communities in Luoyang as the objects, this paper adopts entropy weight TOPSIS and obstacle diagnosis to study the community disaster resilience of Luoyang from seven dimensions, such as demographic characteristics, economic development, and infrastructure. The results of the study are as follows: (1) the community disaster resilience of Luoyang (0.48) is at a medium level. Community capital is the main influencing factor of community disaster resilience. Government governance, community capacity, and community intelligence are the components that need attention in the construction of Luoyang's community disaster resilience. (2) The community disaster resilience of Luoyang presents a decreasing trend from rural to urban areas. Moreover, communities with high disaster resilience are less than communities with low disaster resilience. (3) The obstacle to community disaster resilience of Luoyang focuses on population, economic development, and infrastructure. In addition, community trust, community dependence, popularization and intellectualization of disaster prevention information, and disaster information sharing also significantly restrict the construction of Luoyang community disaster resilience. (4) According to the results of sensitivity analysis, the entropy weight TOPSIS evaluation results are less sensitive. Moreover, changing the weight value, weight method, and evaluation method will not lead to major changes in the rankings.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Evaluation of Community Resilience in Rural China-Taking Licheng Subdistrict, Guangzhou as an Example
    Fan, Jianhong
    Mo, You
    Cai, Yunnan
    Zhao, Yabo
    Su, Dongchen
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (11)
  • [2] The geographies of community disaster resilience
    Cutter, Susan L.
    Ash, Kevin D.
    Emrich, Christopher T.
    GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2014, 29 : 65 - 77
  • [3] Benchmarking Community Disaster Resilience in Nepal
    Aksha, Sanam K.
    Emrich, Christopher T.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (06)
  • [4] A Review of the Literature on Community Resilience and Disaster Recovery
    Mayer, Brian
    CURRENT ENVIRONMENTAL HEALTH REPORTS, 2019, 6 (03) : 167 - 173
  • [5] Conceptualizing community disaster resilience framework for Myanmar
    Lwin, Zin Ni Ni
    Homma, Riken
    Zhou, Qiaohui
    COMMUNITY DEVELOPMENT, 2024,
  • [6] Operationalizing a concept: The systematic review of composite indicator building for measuring community disaster resilience
    Asadzadeh, A.
    Koetter, T.
    Salehi, P.
    Birkmann, J.
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2017, 25 : 147 - 162
  • [7] The measurement of rural community resilience to natural disaster in China
    Li, Yuheng
    Wang, Shengye
    Zhang, Yun
    Du, Guoming
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [8] The Influence of COVID-19 on Community Disaster Resilience
    Xu, Wenping
    Xiang, Lingli
    Proverbs, David
    Xiong, Shu
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (01) : 1 - 18
  • [9] Community disaster resilience in Brazilian small urban centers
    Ribeiro, Daniela Ferreira
    Saito, Silvia Midori
    Alvala, Regina Celia dos Santos
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2024, 100
  • [10] South African community in Auckland Natural hazards and the resilience to a potential disaster event
    Odiase, Osamuede
    Wilkinson, Suzanne
    Neef, Andreas
    DISASTER PREVENTION AND MANAGEMENT, 2020, 29 (03) : 390 - 404