Measurement and prediction of subway resilience under rainfall events: An environment perspective DOI
Wei Gao,

Yiyang Lu,

Naihui Wang

et al.

Transportation Research Part D Transport and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 104479 - 104479

Published: Oct. 1, 2024

Language: Английский

A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China DOI
Faisal Mumtaz, Jing Li, Qinhuo Liu

et al.

Land Use Policy, Journal Year: 2025, Volume and Issue: 151, P. 107494 - 107494

Published: Feb. 5, 2025

Language: Английский

Citations

5

Assessment of the vulnerability of urban metro to rainstorms based on improved cloud model and evidential reasoning DOI
Hongyu Chen, Qiping Shen, Zongbao Feng

et al.

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 157, P. 106353 - 106353

Published: Jan. 2, 2025

Language: Английский

Citations

2

Unraveling the accessibility-usage mismatch: Identifying driving factors and weather-sensitive metro stations using GPS data for improved metro competitiveness DOI
Peng Tian, Meng Cai, Hao Wu

et al.

Cities, Journal Year: 2025, Volume and Issue: 159, P. 105794 - 105794

Published: Feb. 10, 2025

Language: Английский

Citations

0

Enhancing flexibility and efficiency for urban waterlogging response scenarios simulation: an open-ended approach involving user participation DOI Creative Commons
Shuai Hong, Jie Shen,

Haoyu Yang

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: Feb. 23, 2025

Language: Английский

Citations

0

Analysis of Influence of Seismic Impact on Evacuability in Subway Stations DOI Creative Commons

Yoo Mintaek,

Jeong-Jun Park,

Ji-Won Jeong

et al.

Developments in the Built Environment, Journal Year: 2025, Volume and Issue: unknown, P. 100637 - 100637

Published: March 1, 2025

Language: Английский

Citations

0

A methodological framework for Resilience as a Service (RaaS) in multimodal urban transportation networks DOI Creative Commons
Sara Jaber, Mostafa Ameli, S. M. Hassan Mahdavi Moghaddam

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106276 - 106276

Published: March 1, 2025

Language: Английский

Citations

0

Social vulnerability assessment for air pollution in China DOI

Qingnan Cai,

Delin Fang, Bin Chen

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107925 - 107925

Published: March 26, 2025

Language: Английский

Citations

0

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

Mengyuan Lian,

Xiaoxin Zhang, Jinjun Zhou

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 964 - 964

Published: March 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.

Language: Английский

Citations

0

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 DOI Creative Commons
Chong Li, Yibao Wang

Journal of Safety Science and Resilience, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Flood Risk Management-Level Analysis of Subway Station Spaces DOI Open Access
Yan Li, Xinxin Xu,

Shaoxuan Hou

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 1084 - 1084

Published: April 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.

Language: Английский

Citations

0