Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience Perspective
With the continuous increase in urban population, the subway is the main way to alleviate traffic congestion. However, the construction environment of subway stations is complex, and the safety risks are extremely high. Therefore, it is of great practical significance to scientifically and systemati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-08-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/15/2732 |
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| _version_ | 1849407690685546496 |
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| author | Leian Zhang Junwu Wang Miaomiao Zhang Jingyi Guo |
| author_facet | Leian Zhang Junwu Wang Miaomiao Zhang Jingyi Guo |
| author_sort | Leian Zhang |
| collection | DOAJ |
| description | With the continuous increase in urban population, the subway is the main way to alleviate traffic congestion. However, the construction environment of subway stations is complex, and the safety risks are extremely high. Therefore, it is of great practical significance to scientifically and systematically evaluate the safety vulnerability of subway station construction. This paper takes the Chengdu subway project as an example, and establishes a metro station construction safety vulnerability evaluation index system based on the driving forces–pressures–state–impacts–responses (DPSIR) theory with 5 first-level indexes and 23 second-level indexes, and adopts the fuzzy hierarchical analysis method (FAHP) to calculate the subjective weights, and the improved Harris Hawks optimization–projection pursuit method (HHO-PPM) to determine the objective weights, combined with game theory to calculate the comprehensive weights of the indicators, and finally uses the improved cloud model of Bayesian feedback to determine the vulnerability level of subway station construction safety. The study found that the combined empowerment–improvement cloud model assessment method is reliable, and the case study verifies that the vulnerability level of the project is “very low risk”, and the investigations of safety hazards and the pressure of surrounding traffic are the key influencing factors, allowing for the proposal of more scientific and effective management strategies for the construction of subway stations. |
| format | Article |
| id | doaj-art-a17f307f576849b899963d8ff7c64faf |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-a17f307f576849b899963d8ff7c64faf2025-08-20T03:35:58ZengMDPI AGBuildings2075-53092025-08-011515273210.3390/buildings15152732Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience PerspectiveLeian Zhang0Junwu Wang1Miaomiao Zhang2Jingyi Guo3School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430000, ChinaSchool of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430000, ChinaMCC (Shanghai) Steel Structure Technology Co., Ltd., Shanghai 200000, ChinaSchool of Civil Engineering and Architecture, Hubei University of Arts and Science, Xiangyang 441000, ChinaWith the continuous increase in urban population, the subway is the main way to alleviate traffic congestion. However, the construction environment of subway stations is complex, and the safety risks are extremely high. Therefore, it is of great practical significance to scientifically and systematically evaluate the safety vulnerability of subway station construction. This paper takes the Chengdu subway project as an example, and establishes a metro station construction safety vulnerability evaluation index system based on the driving forces–pressures–state–impacts–responses (DPSIR) theory with 5 first-level indexes and 23 second-level indexes, and adopts the fuzzy hierarchical analysis method (FAHP) to calculate the subjective weights, and the improved Harris Hawks optimization–projection pursuit method (HHO-PPM) to determine the objective weights, combined with game theory to calculate the comprehensive weights of the indicators, and finally uses the improved cloud model of Bayesian feedback to determine the vulnerability level of subway station construction safety. The study found that the combined empowerment–improvement cloud model assessment method is reliable, and the case study verifies that the vulnerability level of the project is “very low risk”, and the investigations of safety hazards and the pressure of surrounding traffic are the key influencing factors, allowing for the proposal of more scientific and effective management strategies for the construction of subway stations.https://www.mdpi.com/2075-5309/15/15/2732evolutionary resilienceconstruction of subway stationsconstruction safetyvulnerability assessment |
| spellingShingle | Leian Zhang Junwu Wang Miaomiao Zhang Jingyi Guo Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience Perspective Buildings evolutionary resilience construction of subway stations construction safety vulnerability assessment |
| title | Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience Perspective |
| title_full | Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience Perspective |
| title_fullStr | Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience Perspective |
| title_full_unstemmed | Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience Perspective |
| title_short | Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience Perspective |
| title_sort | research on safety vulnerability assessment of subway station construction based on evolutionary resilience perspective |
| topic | evolutionary resilience construction of subway stations construction safety vulnerability assessment |
| url | https://www.mdpi.com/2075-5309/15/15/2732 |
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