Resilience Measurement and Enhancement of Subway Station Flood Disasters Based on Uncertainty Theory
Source abstract
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.
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Research context
OpenAlex topics: Infrastructure Resilience and Vulnerability Analysis · Risk and Safety Analysis · Occupational Health and Safety Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Building Collapse Mechanism and Disaster Prevention, China Earthquake Administration, Institute of Disaster Prevention, Sanhe 065201, China
Hebei Technology Innovation Center for Multi-Hazard Resilience and Emergency Handling of Engineering Structures, Sanhe 065201, China
School of Civil Engineering, Institute of Disaster Prevention, Sanhe 065201, China
Funding
Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China
References (47)
Show source-provided references
1. Flood risk and control in urban underground spaces under extreme rainfall
2. Practitioner approaches to measuring community resilience: The analysis of the resilience of communities to disasters toolkit10.1016/j.ijdrr.2020.101714 ↗
3. Themevein and frontier trend of research on disaster resiience at home and abroad
4. First-Order Reliability Approach to Quantify and Improve Building Portfolio Resilience10.1061/(ASCE)ST.1943-541X.0001213 ↗
5. Can a future city enhance urban resilience and sustainability? A political ecology analysis of Eko Atlantic city, Nigeria10.1016/j.ijdrr.2017.09.029 ↗
6. Risk early warning of subway fire disaster under the concept of resilience based on 2-dimensional cloud model
7. Research on subway flood disaster from the perspective of resilient city based on Bow-tie Bayesian network model
8. Waterlogging cause and disaster prevention and control of “7·20” torrential rain in Zhengzhou
9. Study on evaluation index system of urban fire resilience
10. Typhoon disaster risk assessment in Guangdong province by regional disaster system theory: Case of “Mangkhut”
11. Risk Assessment of Gas Hazard Sources Based on Regional Disaster System Theory
12. Liu, J., Zheng, W., Li, H., and Chen, J. (2023). Evaluation of flooding disaster risks for subway stations based on the PSR Cloud model. Sustainability, 15.10.3390/su152115552 ↗
13. Research on subway flood disaster assessment based on DNN Neural Network
14. Vulnerability assessment of heavy rainfall and waterlogging in subway stations based on IOWA-VAC
15. Vulnerability assessment of rainfall and waterlogging in subway stations based on projection pursuit model
16. Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach10.1016/j.dib.2019.104468 ↗
17. Flood risk assessment and mitigation for metro stations: An evidential-reasoning-based optimality approach considering uncertainty of subjective parameters10.1016/j.ress.2023.109453 ↗
18. Subway travel risk evaluation during flood events based on smart card data10.1080/19475705.2022.2134056 ↗
19. Wang, G., Liu, L., Shi, P., Zhang, G., and Liu, J. (2021). Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou. Remote Sens., 13.10.3390/rs13245154 ↗
20. Wang, G., Liu, Y., Hu, Z., Zhang, G., Liu, J., Lyu, Y., Gu, Y., Huang, X., Zhang, Q., and Liu, L. (2021). Flood Risk Assessment of Subway Systems in Metropolitan Areas under Land Subsidence Scenario: A Case Study of Beijing. Remote Sens., 13.10.3390/rs13040637 ↗
21. Perspective on the Flood Disaster Resilience in Old Urban Communities in Beijing and Improvement Measures
22. Study on Resilience Assessment of Flood and Landslide Disasters in Mountainous Urban Areas
23. Analysis on Spatiotemporal Evolution and Driving Factors of Urban Flood Disaster Resilience in Hubei Province
24. Evaluation method of urban flood disaster resilience based on combined weighting-cloud model
25. Intelligent Transformation and Path Innovation of Urban Flood Resilience Management System
26. Fuzzy sets10.1016/S0019-9958(65)90241-X ↗
27. Rough sets10.1007/BF01001956 ↗
28. Application of Unascertained Measure Model in Urban Real Estate Investment Risk Analysis and Evaluation
29. Construction Risk Assessment of Urban Wastewater Deep-buried Tunnels under-passing Existing Railway Based on the Improved Entropy Weight-Unascertained Measurement Model
30. Tunnel gas risk assessment based on EW-AHP and unascertained measurement theory
31. Risk Assessment of Coal Mine Rock Burst Based on Analytic Hierarchy Process and Uncertaninty Measurement Theory
32. Evaluation of Metro Tunnel Based on Combined Weighting-Unascertained Measurement Theory
33. Stability Evaluation of Foundation Pit Based on Unascertained Measure Theory
34. Ding, X., Tian, X., and Wang, J. (2024). A comprehensive risk assessment method for hot work in underground mines based on G1-EWM and unascertained measure theory. Sci. Rep., 14.10.1038/s41598-024-56230-y ↗
35. Yang, X., Hao, Z., Liu, K., Tao, Z., and Shi, G. (2023). An Improved Unascertained Measure-Set Pair Analysis Model Based on Fuzzy AHP and Entropy for Landslide Susceptibility Zonation Mapping. Sustainability, 15.10.3390/su15076205 ↗
36. Safety Risk Evaluation of Construction Site Based on Unascertained Measure and Analytic Hierarchy Process10.1155/2021/7172938 ↗
37. Rockburst prediction based on optimization of unascertained measure theory with normal cloud10.1007/s40747-023-01127-y ↗
38. The Comprehensive Prediction Model of Rockburst Tendency in Tunnel Based on Optimized Unascertained Measure Theory10.1007/s10706-019-00854-9 ↗
39. Analysis of influencing factors of subway system vulnerability under rainstorm conditions based on DEMATEL-AHDT
40. Construction and evolution analysis of subway flood event scenarios based on Bayesnetwork
41. (2014). Code for Design of Metro (Standard No. GB50157-2013).
42. (2008). Technical Code for Waterproofing of Underground Works (Standard No. GB50158-2008).
43. (2021). Code for Design of Outdoor Wastewater Engineering (Standard No. GB50014-2021).
44. A probabilistic framework for post-disaster recovery modeling of buildings and electric power networks in developing countries10.1016/j.ress.2023.109679 ↗
45. Vulnerability and resilience of transportation systems: A recent literature review10.1016/j.physa.2021.126235 ↗
46. Miano, A., Civera, M., Aloschi, F., De Biagi, V., Chiaia, B., Parisi, F., and Prota, A. (2024). Efficiency Assessment of Urban Road Networks Connecting Critical Node Pairs under Seismic Hazard. Sustainability, 16.10.3390/su16177465 ↗
47. Evaluation of park city construction based on unascertained measurement theory