A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China

Land Use Policy, Год журнала: 2025, Номер 151, С. 107494 - 107494

Опубликована: Фев. 5, 2025

Язык: Английский

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Assessment of the vulnerability of urban metro to rainstorms based on improved cloud model and evidential reasoning

Tunnelling and Underground Space Technology, Год журнала: 2025, Номер 157, С. 106353 - 106353

Опубликована: Янв. 2, 2025

Язык: Английский

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Unraveling the accessibility-usage mismatch: Identifying driving factors and weather-sensitive metro stations using GPS data for improved metro competitiveness

Cities, Год журнала: 2025, Номер 159, С. 105794 - 105794

Опубликована: Фев. 10, 2025

Язык: Английский

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Enhancing flexibility and efficiency for urban waterlogging response scenarios simulation: an open-ended approach involving user participation

International Journal of Digital Earth, Год журнала: 2025, Номер 18(1)

Опубликована: Фев. 23, 2025

Язык: Английский

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Analysis of Influence of Seismic Impact on Evacuability in Subway Stations

Developments in the Built Environment, Год журнала: 2025, Номер unknown, С. 100637 - 100637

Опубликована: Март 1, 2025

Язык: Английский

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A methodological framework for Resilience as a Service (RaaS) in multimodal urban transportation networks

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106276 - 106276

Опубликована: Март 1, 2025

Язык: Английский

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Social vulnerability assessment for air pollution in China

Environmental Impact Assessment Review, Год журнала: 2025, Номер 114, С. 107925 - 107925

Опубликована: Март 26, 2025

Язык: Английский

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Resilience Assessment Method of Urban Flooding Prevention and Control System (FPC) Based on Attribute Resilience (AR) and Functional Resilience (FR)

Water, Год журнала: 2025, Номер 17(7), С. 964 - 964

Опубликована: Март 26, 2025

Under the context of global climate change, floods are one major challenges facing urban development. Based on resilience theory, this study proposed an evaluation method to accurately assess flooding prevention and control systems (FPCs), integrating both attribute (AR) functional (FR). First, organized FPC attributes from perspective waterlogging generation elimination processes using foundational data area, it established a indicator system. The Entropy Weight Method (EWM) was applied calculate weights, Technique for Order Preference by Similarity Ideal Solution (TOPSIS) used values, ultimately deriving (AR). Subsequently, performance during actual operations evaluated scenario simulation based hydrodynamic model results, FR determined. Finally, spatial correlation analysis AR conducted identify areas with weak resilience. This developed that considers system central area Beijing as case flood results indicated most influential factors affecting green space percentage (GSP), average slope, drainage capacity (DC), their weights calculated 0.17, 0.137, 0.205, respectively. Among resistance, absorption, recovery, absorption had greatest influence, weight 0.447. Moran’s I indices were 0.66 0.49, respectively, indicating clustering, although clustering locations differed. There between FR, enabling more precise identification high low However, trends not entirely consistent across different types sub-districts due differences in methods influence various indicators.

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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Flood Risk Management-Level Analysis of Subway Station Spaces

Water, Год журнала: 2025, Номер 17(7), С. 1084 - 1084

Опубликована: Апрель 5, 2025

In recent years, heavy rainfall-induced flood incidents have occurred frequently in subway stations worldwide. Flooding complex underground facilities, such as stations, can result significant casualties and property damage. Therefore, it is crucial to determine risk management levels within stations. This study proposes a comprehensive management-level evaluation method based on spatial network importance, functional risk, focusing the relationship between structure of risk. The research integrates theory hydrodynamic simulation techniques construct model assessing importance index each subspace network. Simultaneously, calculated through quantitative analysis different functions. Additionally, Volume Fluid (VOF) used simulate distribution, obtaining for subspace. By applying entropy weight analysis, various areas station are determined. results indicate that among all indicators, assigned highest weight, accounting 50%. Specifically, S6 hall, S11 connecting corridors S1–S6 S11–S6 exceeds 0.48, with these constituting 75% total space. highlights their central role crowd flow connectivity. found level five occupy 11.43% space, indicating prioritizing prevention measures critical essential enhancing station’s resilience. provides both theoretical support practical references spaces.

Язык: Английский

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