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Urban resilience influence factors from perspective of disaster chain
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Yuying YANG1, 2, Haixiang GUO**, 3, 4, 5
China Safety Science Journal | 2025, 35(11) : 190 - 197
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China Safety Science Journal | 2025, 35(11): 190-197
Technology and engineering of disaster prevention and mitigation
Urban resilience influence factors from perspective of disaster chain
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Yuying YANG1, 2, Haixiang GUO**, 3, 4, 5
Affiliations
  • 1School of Emergency Management, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China
  • 2Institute of Public Safety Governance, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China
  • 3School of Economics and Management, China University of Geosciences (Wuhan), Wuhan Hubei 430078, China
  • 4Laboratory for Natural Disaster Risk Prevention, Control, and Emergency Management, China University of Geosciences (Wuhan), Wuhan Hubei 430078, China
  • 5School of Public Administration, Xiangtan University, Xiangtan Hunan 411105, China
Published: 2025-11-28 doi: 10.16265/j.cnki.issn1003-3033.2025.11.0778
Outline
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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.

disaster chain  /  urban resilience  /  influencing factors  /  decision-making trial and evaluation laboratory (DEMATEL)  /  interpretative structural modeling (ISM)
Yuying YANG, Haixiang GUO. Urban resilience influence factors from perspective of disaster chain[J]. China Safety Science Journal, 2025 , 35 (11) : 190 -197 . DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0778
Year 2025 volume 35 Issue 11
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.11.0778
  • Receive Date:2025-06-20
  • Online Date:2026-07-09
  • Published:2025-11-28
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  • Received:2025-06-20
  • Revised:2025-09-13
Funding
Affiliations
    1School of Emergency Management, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China
    2Institute of Public Safety Governance, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China
    3School of Economics and Management, China University of Geosciences (Wuhan), Wuhan Hubei 430078, China
    4Laboratory for Natural Disaster Risk Prevention, Control, and Emergency Management, China University of Geosciences (Wuhan), Wuhan Hubei 430078, China
    5School of Public Administration, Xiangtan University, Xiangtan Hunan 411105, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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种数
Number of
species
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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