Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou

Metro systems have become high-risk entities due to the increased frequency and severity of urban flooding. Therefore, understanding the flood risk of metro systems is a prerequisite for mega-cities’ flood protection and risk management. This study proposes a method for accurately assessing the floo...

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Main Authors: Guangpeng Wang, Lianyou Liu, Peijun Shi, Guoming Zhang, Jifu Liu
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/24/5154
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author Guangpeng Wang
Lianyou Liu
Peijun Shi
Guoming Zhang
Jifu Liu
author_facet Guangpeng Wang
Lianyou Liu
Peijun Shi
Guoming Zhang
Jifu Liu
author_sort Guangpeng Wang
collection DOAJ
description Metro systems have become high-risk entities due to the increased frequency and severity of urban flooding. Therefore, understanding the flood risk of metro systems is a prerequisite for mega-cities’ flood protection and risk management. This study proposes a method for accurately assessing the flood risk of metro systems based on an improved trapezoidal fuzzy analytic hierarchy process (AHP). We applied this method to assess the flood risk of 14 lines and 268 stations of the Guangzhou Metro. The risk results validation showed that the accuracy of the improved trapezoidal fuzzy AHP (90% match) outperformed the traditional trapezoidal AHP (70% match). The distribution of different flood risk levels in Guangzhou metro lines exhibited a polarization signature. About 69% (155 km<sup>2</sup>) of very high and high risk zones were concentrated in central urban areas (Yuexiu, Liwan, Tianhe, and Haizhu); the three metro lines with the highest overall risk level were lines 3, 6, and 5; and the metro stations at very high risk were mainly located on metro lines 6, 3, 5, 1, and 2. Based on fieldwork, we suggest raising exits, installing watertight doors, and using early warning strategies to resist metro floods. This study can provide scientific data for decision-makers to reasonably allocate flood prevention resources, which is significant in reducing flood losses and promoting Guangzhou’s sustainable development.
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spelling doaj.art-edc18fd8de924037adbccb71c4d42cda2023-11-23T10:25:33ZengMDPI AGRemote Sensing2072-42922021-12-011324515410.3390/rs13245154Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of GuangzhouGuangpeng Wang0Lianyou Liu1Peijun Shi2Guoming Zhang3Jifu Liu4Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaMetro systems have become high-risk entities due to the increased frequency and severity of urban flooding. Therefore, understanding the flood risk of metro systems is a prerequisite for mega-cities’ flood protection and risk management. This study proposes a method for accurately assessing the flood risk of metro systems based on an improved trapezoidal fuzzy analytic hierarchy process (AHP). We applied this method to assess the flood risk of 14 lines and 268 stations of the Guangzhou Metro. The risk results validation showed that the accuracy of the improved trapezoidal fuzzy AHP (90% match) outperformed the traditional trapezoidal AHP (70% match). The distribution of different flood risk levels in Guangzhou metro lines exhibited a polarization signature. About 69% (155 km<sup>2</sup>) of very high and high risk zones were concentrated in central urban areas (Yuexiu, Liwan, Tianhe, and Haizhu); the three metro lines with the highest overall risk level were lines 3, 6, and 5; and the metro stations at very high risk were mainly located on metro lines 6, 3, 5, 1, and 2. Based on fieldwork, we suggest raising exits, installing watertight doors, and using early warning strategies to resist metro floods. This study can provide scientific data for decision-makers to reasonably allocate flood prevention resources, which is significant in reducing flood losses and promoting Guangzhou’s sustainable development.https://www.mdpi.com/2072-4292/13/24/5154flood riskmetro systemimproved trapezoidal fuzzy AHPflood prevention measures
spellingShingle Guangpeng Wang
Lianyou Liu
Peijun Shi
Guoming Zhang
Jifu Liu
Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou
Remote Sensing
flood risk
metro system
improved trapezoidal fuzzy AHP
flood prevention measures
title Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou
title_full Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou
title_fullStr Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou
title_full_unstemmed Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou
title_short Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou
title_sort flood risk assessment of metro system using improved trapezoidal fuzzy ahp a case study of guangzhou
topic flood risk
metro system
improved trapezoidal fuzzy AHP
flood prevention measures
url https://www.mdpi.com/2072-4292/13/24/5154
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AT guomingzhang floodriskassessmentofmetrosystemusingimprovedtrapezoidalfuzzyahpacasestudyofguangzhou
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