The Waterlogging Resilience Assessment of Metro Stations with the Entropy Weight–TOPSIS Method: A Case Study in Changsha, China
Source abstract
Abstract
The underground urban rail transit (URT) is usually vulnerable to waterlogging caused by rainstorms, and floods run into the URT systems mainly via stations. Because of the increasing rainstorms due to global warming, assessing and improving the waterlogging resilience of URT stations is essential for preventing flooding disasters in URT. Here, an entropy weight–TOPSIS method is proposed to assess the waterlogging resilience of metro stations in Changsha, China. Firstly, 20 assessment indicators were selected from stability, resistance, and recovery of the system, respectively. Then, the entropy weight method was used to determine the objective weight of each indicator, and the TOPSIS method was applied to calculate the resilience index of metro stations. The results indicate that among the 137 metro stations, there are 26 low-resilience ones, 64 medium-resilience ones, and 47 high-resilience ones. The waterlogging resilience of metro stations shows a decreasing trend from the urban periphery to the urban center, and the low-resilience stations are predominantly located in the eastern low-altitude flat areas of Changsha. Finally, the countermeasures are proposed to improve the resilience of metro stations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Underground infrastructure and sustainability · Infrastructure Resilience and Vulnerability Analysis · Flood Risk Assessment and Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Civil Engineering, Hunan University, Changsha 410082, China
Transportation Research Center, Hunan University, Changsha 410082, China
Hunan Provincial University Key Laboratory of Smart Roads and Green Transportation, Changsha 410082, China
Funding
Central Universities, China · Department of Natural Resources of Hunan Province
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