Resilience assessment of subway system to waterlogging disaster
Document Type
Journal Article
Publication Date
2024
Subject Area
place - asia, place - urban, mode - subway/metro, infrastructure - station, infrastructure - maintainance
Keywords
subway system waterlogging resilience (SSWR)
Abstract
The subway system is experiencing significant waterlogging challenges due to climate change and urbanization, and the enclosed underground structure makes this issue worsen. Identification of subway system waterlogging resilience (SSWR) and the development of improvement measures are critical. We proposed a “Stability-Resistance-Recovery” assessment framework of the SSWR based on the system performance curve. An integrated index system was established, which defined and quantified several indexes to capture unique characteristics of subway systems. The system used inundation results simulated by InfoWorks ICM model as trigger for waterlogging, providing accurate reflection of inundation situations around subway stations. A case study in Beijing identified the stability and resistance as the leading factors affecting the SSWR, with water bodies surface percentage, evening peak departure time interval, and population density having the strongest impacts. Subway system exhibited a relatively low level of waterlogging resilience, with 51.9% of stations indicating very low or low levels. Stations at medium SSWR were dispersed throughout the areas neighboring stations at very low or low SSWR. Stations at very high or high SSWR were minimal and scattered in peripheral areas. This study provides a widely applicable index system for the SSWR and helps decision-makers devise the improvement measures.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Xu, F., Fang, D., Chen, B., & Wang, H. (2024). Resilience assessment of subway system to waterlogging disaster. Sustainable Cities and Society, 113, 105710.
Comments
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http://www.sciencedirect.com/science/journal/22106707