Disaster Resilience Assessment and Key Drivers of Resilience Evolution in Mountainous Cities Facing Geo-Disasters: A Case Study of Disaster-Prone Counties in Western Sichuan DOI Open Access
Hao Yin, Yong Xiang,

Qian Fan

и другие.

Sustainability, Год журнала: 2025, Номер 17(8), С. 3291 - 3291

Опубликована: Апрель 8, 2025

With global population growth and accelerated technological innovation, human activities have expanded, leading to worsening ecological degradation more frequent disasters, particularly in vulnerable underdeveloped mountainous areas. Western Sichuan, predominantly consisting of cities, has unique geographical conditions that not only hinder socioeconomic development but also create an environment conducive disaster occurrence. This study, therefore, investigates the resilience cities western Sichuan. Using support vector machine (SVM), this study predicts geo-disaster risks. Shapley values from cooperative game theory are employed optimize three evaluation methods, TOPSIS, Grey Relational Analysis (GRA), Rank Sum Ratio (RSR), calculate social values. Finally, determined by integrating risk with resilience. Kernel density estimation GeoDetector then used analyze The findings reveal (1) is generally improving, a gradual decrease number low resilience, though overall level remains low; (2) disparities among evident, showing “east-high, west-low” distribution, primarily due eastern region’s proximity developed it received; (3) proliferation information technology tourism key drivers development, while exacerbate risks; (4) enhancement dependent on interaction multiple driving factors than any single factor. aligned United Nations Sustainable Development Goals (SDG3, SDG4, SDG8, SDG9, SDG11, SDG15), offers recommendations for provides theoretical policy formulation cities.

Язык: Английский

Disaster Resilience Assessment and Key Drivers of Resilience Evolution in Mountainous Cities Facing Geo-Disasters: A Case Study of Disaster-Prone Counties in Western Sichuan DOI Open Access
Hao Yin, Yong Xiang,

Qian Fan

и другие.

Sustainability, Год журнала: 2025, Номер 17(8), С. 3291 - 3291

Опубликована: Апрель 8, 2025

With global population growth and accelerated technological innovation, human activities have expanded, leading to worsening ecological degradation more frequent disasters, particularly in vulnerable underdeveloped mountainous areas. Western Sichuan, predominantly consisting of cities, has unique geographical conditions that not only hinder socioeconomic development but also create an environment conducive disaster occurrence. This study, therefore, investigates the resilience cities western Sichuan. Using support vector machine (SVM), this study predicts geo-disaster risks. Shapley values from cooperative game theory are employed optimize three evaluation methods, TOPSIS, Grey Relational Analysis (GRA), Rank Sum Ratio (RSR), calculate social values. Finally, determined by integrating risk with resilience. Kernel density estimation GeoDetector then used analyze The findings reveal (1) is generally improving, a gradual decrease number low resilience, though overall level remains low; (2) disparities among evident, showing “east-high, west-low” distribution, primarily due eastern region’s proximity developed it received; (3) proliferation information technology tourism key drivers development, while exacerbate risks; (4) enhancement dependent on interaction multiple driving factors than any single factor. aligned United Nations Sustainable Development Goals (SDG3, SDG4, SDG8, SDG9, SDG11, SDG15), offers recommendations for provides theoretical policy formulation cities.

Язык: Английский

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