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Cited by 445

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach

Lyu, Hai-Min, Sun, Wen-Juan, Shen, Shui-Long, Arulrajah, Arul·2018·Science of The Total Environment

Abstract

Metro system is a vital component of mass transportation infrastructure, providing crucial social and economic service in urban area. Flood events may cause functional disruptions to metro systems; therefore, a better understanding of their vulnerability would enhance their resilience. A comparative study of flood risk in metro systems is presented using the analytic hierarchy process (AHP) and the interval AHP (I-AHP) methods. The flood risk in the Guangzhou metro system is evaluated according to recorded data. Evaluated results are validated using the flood event occurred in Guangzhou on May 10, 2016 (hereinafter called "May 10th event"), which inundated several metro stations. The flood risk is assessed within a range of 500 m around the metro line. The results show that >50% of metro lines are highly exposed to flood risk, indicating that the Guangzhou metro system is vulnerable to flood events. Comparisons between results from AHP and I-AHP show that the latter yields a wider range of high flooding risk than the former.

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Metadata

Authors
Lyu, H.-M., Sun, W.-J., Shen, S.-L., & Arulrajah, A.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2018-06
Volume
626
Pages
1012-1025
ISSN
0048-9697 (ISSN-L)
OpenAlex
W2790785337
Cited by
445
References
26
FWCI
26.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach. https://app.cochat.ai/papers/10.1016/j.scitotenv.2018.01.138
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Lyu, H.-M., Sun, W.-J., Shen, S.-L., & Arulrajah, A. (2018). Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2018.01.138

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