Urban resilience framework: A network-based model to assess the physical system reaction and disaster prevention

Environmental Impact Assessment Review, Год журнала: 2024, Номер 109, С. 107619 - 107619

Опубликована: Авг. 9, 2024

Язык: Английский

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Assessing Resilience through Social Networks: A Case Study of Flood Disaster Management in China

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 108, С. 104583 - 104583

Опубликована: Май 27, 2024

Язык: Английский

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What factors affect sustainable poverty reduction capacity in the Alpine-Gorge regions? Evidence from China

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Язык: Английский

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A numerical-based evaluation framework for ventilation airflow forms in small office: Energy efficiency, comfort, cleanliness, and anti-infection level

Energy, Год журнала: 2025, Номер unknown, С. 135540 - 135540

Опубликована: Март 1, 2025

Язык: Английский

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Evaluation of the Underground Space Safety Resilience of Chinese Urban Agglomerations Based on the "Stress-State-Response":A Case Study of Underground Rail Transit in 26 Cities

Journal of Safety Science and Resilience, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

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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

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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Quantifying the nonlinear and interactive effects of urban form on resilience to extreme precipitation: Evidence from 192 cities of Southern China

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106366 - 106366

Опубликована: Апрель 1, 2025

Язык: Английский

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Enhancing Infrastructure for Disaster Resilience: Insights from Microlevel Assessments in Australia

Journal of Management in Engineering, Год журнала: 2025, Номер 41(4)

Опубликована: Апрель 24, 2025

Язык: Английский

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Whole process assessment of flood resilience in urban and rural communities based on nighttime lights: A case study of Zhuozhou flood

Urban Climate, Год журнала: 2025, Номер 61, С. 102438 - 102438

Опубликована: Май 4, 2025

Язык: Английский

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Dual-assessment of resilience and recovery strategies of road networks under rainstorm-induced waterlogging disasters

Transportmetrica A Transport Science, Год журнала: 2024, Номер unknown, С. 1 - 32

Опубликована: Ноя. 4, 2024

The dynamic resilience of road networks, threatened by rainstorm-induced waterlogging disasters, is crucial for recovering and reconstructing urban functions. We established a event impact mechanism dividing the process this disaster on network into four stages. To ensure that we can accurately evaluate during disaster, constructed dual-resilience model based performance topology with two angles. On basis, compare different recovery strategies including average strategy, key stacked, opening low-altitude routes. results show better in short term choosing to open routes, long an strategy. In addition, strategy essential are implemented best rainstorm occurrence stage.

Язык: Английский

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