Resilience Measurement and Enhancement of Subway Station Flood Disasters Based on Uncertainty Theory

To address the uncertainty of influencing factors in measuring the resilience of subway stations to flood disasters, this study introduces Unascertained Measurement Theory to assess the resilience of subway stations against flood disasters. Initially, the research involves a thorough examination and analysis of past subway flood disaster incidents, which elucidates the disaster system and its resilience processes, thereby facilitating the construction of a resilience analysis framework specific to subway stations. Subsequently, a measurement index system is developed to evaluate the resilience of subway stations against flood disasters, drawing upon relevant literature, and resilience levels are categorized according to established standards. Following this, an unascertained measurement model is formulated to assess the resilience of subway stations in the face of flood disasters. This model incorporates the development of an unascertained measurement function and an unascertained measurement matrix, yielding comprehensive results that inform the determination of resilience levels through credible degree assessment. Furthermore, the SPSSAU obstacle degree model is utilized to analyze the resistance factors that influence the resilience of subway stations to flood disasters, leading to the formulation of strategies aimed at enhancing this resilience. This approach offers novel insights into the measurement of subway station resilience in the context of flood disasters.

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Publication Details

Journal
Applied Sciences
Published
2024-11-25
DOI
https://doi.org/10.3390/app142310930
Citations
1
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.26
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article

Resilience Measurement and Enhancement of Subway Station Flood Disasters Based on Uncertainty Theory

Xiaofang Hu, Shuo Zhang, Jingyan Liu, Wenwen Zheng
1 citations
Applied Sciences
Infrastructure Resilience and Vulnerability Analysis
0.26
article

Resilience Measurement and Enhancement of Subway Station Flood Disasters Based on Uncertainty Theory

Xiaofang Hu, Shuo Zhang, Jingyan Liu, Wenwen Zheng
article en
1 citations

Abstract

To address the uncertainty of influencing factors in measuring the resilience of subway stations to flood disasters, this study introduces Unascertained Measurement Theory to assess the resilience of subway stations against flood disasters. Initially, the research involves a thorough examination and analysis of past subway flood disaster incidents, which elucidates the disaster system and its resilience processes, thereby facilitating the construction of a resilience analysis framework specific to subway stations. Subsequently, a measurement index system is developed to evaluate the resilience of subway stations against flood disasters, drawing upon relevant literature, and resilience levels are categorized according to established standards. Following this, an unascertained measurement model is formulated to assess the resilience of subway stations in the face of flood disasters. This model incorporates the development of an unascertained measurement function and an unascertained measurement matrix, yielding comprehensive results that inform the determination of resilience levels through credible degree assessment. Furthermore, the SPSSAU obstacle degree model is utilized to analyze the resistance factors that influence the resilience of subway stations to flood disasters, leading to the formulation of strategies aimed at enhancing this resilience. This approach offers novel insights into the measurement of subway station resilience in the context of flood disasters.

Applied SciencesVol. 14(23)
Institute of Disaster Prevention (CN), Hebei Science and Technology Department (CN), China Earthquake Administration (CN)
Climate action
Openalex Percentile: Top 43%
Infrastructure Resilience and Vulnerability Analysis
0.26
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