中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (11): 190-197.doi: 10.16265/j.cnki.issn1003-3033.2025.11.0778

• 防灾减灾技术与工程 • 上一篇    下一篇

灾害链视角下城市韧性影响因素研究

杨钰莹1,2(), 郭海湘3,4,5,**()   

  1. 1 南京信息工程大学 应急管理学院,江苏 南京 210044
    2 南京信息工程大学 公共安全治理研究院,江苏 南京 210044
    3 中国地质大学(武汉) 经济管理学院,湖北 武汉 430078
    4 中国地质大学(武汉) 自然灾害风险防控与应急管理实验室,湖北 武汉 430078
    5 湘潭大学 公共管理学院,湖南 湘潭 411105
  • 收稿日期:2025-06-20 修回日期:2025-09-13 出版日期:2025-11-28
  • 通信作者:
    ** 郭海湘 教授 (1978—),男,湖南湘乡人,博士,教授,主要从事复杂系统模拟与优化决策、应急管理方面的研究。E-mail:
  • 作者简介:

    杨钰莹 讲师 (1993—),女,湖南汨罗人,博士,讲师,主要从事灾害应急管理等方面的研究。E-mail:

  • 基金资助:
    教育部人文社会科学研究青年基金资助(24YJCZH387); 湖北省自然科学基金创新群体项目资助(2024AFA015); 江苏省教育厅高校哲学社会科学研究项目(2024SJYB0148); 南京信息工程大学人才启动经费资助(2024r030)

Urban resilience influence factors from perspective of disaster chain

YANG Yuying1,2(), GUO Haixiang3,4,5,**()   

  1. 1 School of Emergency Management, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China
    2 Institute of Public Safety Governance, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China
    3 School of Economics and Management, China University of Geosciences (Wuhan), Wuhan Hubei 430078, China
    4 Laboratory for Natural Disaster Risk Prevention, Control, and Emergency Management, China University of Geosciences (Wuhan), Wuhan Hubei 430078, China
    5 School of Public Administration, Xiangtan University, Xiangtan Hunan 411105, China
  • Received:2025-06-20 Revised:2025-09-13 Published:2025-11-28

摘要:

为提升城市应对灾害链的韧性,提出灾害链视角下城市韧性影响因素分析框架和方法。首先,围绕韧性城市的核心能力建立灾害链视角下的城市韧性影响因素清单;其次,提出改进的决策实验室分析(DEMATEL)-解释结构模型(ISM)用于识别顶层设计因素,明晰影响因素之间的层级结构与作用路径,并从经济和人口视角分析韧性提升路径;最后,以成都在灾害链情境下的韧性建设实践为例验证本文理论分析的合理性。研究结果表明:顶层设计因素主要集中在预防、准备和适应方面;保险保障、灾害链场景下应急指挥与政府部门联动处置断链减灾能力、灾害链情景下应急资源准备充分程度、生态环境修复与治理是根本影响因素;住房质量、医疗救助能力、应急疏散能力和生活基本保障是直接影响因素;提升经济韧性的重要路径包括加强保险保障或加快基础设施修复促进经济恢复;提升人口韧性主要通过加强住房保障、生命保障、应急疏散保障和生活保障等实现;成都在灾害链情境下的韧性建设较为良好,但部分环节仍需优化。

关键词: 灾害链, 城市韧性, 影响因素, 决策实验室分析(DEMATEL), 解释结构模型(ISM)

Abstract:

To enhance urban resilience against disaster chains, this study proposed an analytical framework and methodology for identifying influencing factors from a disaster chain perspective. Firstly, a comprehensive list of urban resilience influencing factors was established by focusing on the core capacities of resilient cities within disaster chain contexts. Secondly, an improved fuzzy DEMATEL-ISM integrated method was introduced to identify top-level factors, clarify hierarchical structures and interaction pathways among influencing factors, and analyze resilience enhancement approaches from economic and demographic perspectives. Finally, taking the resilience construction practice of Chengdu in the context of disaster chain as an example, the rationality of this theoretical analysis was verified. Results indicate that the top-level design factors, aimed at addressing disaster chains, primarily focus on prevention, preparedness, and adaptation. Fundamental factors include insurance protection, emergency command in the disaster chain scenario and government departments' ability to jointly handle chain disruptions to reduce disasters, adequacy of emergency resource preparation, and ecological environment restoration and governance. Direct influencing factors encompass housing quality, medical assistance capacity, emergency evacuation capacity, and basic living security. The most effective approaches to enhance economic resilience in disaster chains are strengthening insurance protection and accelerating infrastructure repair, both promoting economic recovery. Enhancing population resilience relies primarily on measures such as housing security, life support, emergency evacuation support, and basic living security. Chengdu maintains relatively sound resilience construction under disaster chain scenarios, though certain aspects require further optimization.

Key words: disaster chain, urban resilience, influencing factors, decision-making trial and evaluation laboratory (DEMATEL), interpretative structural modeling (ISM)

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