Subway travel risk evaluation during flood events based on smart card data
The intensity and frequency of extreme weather is increasing in major metropolitan areas around the world, which results in unprecedented urban floods. However, subway systems lack consideration of flood risk, and few studies have assessed risk during flood events from the view of subway travel. In...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2022.2134056 |
| _version_ | 1797986396970942464 |
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| author | Dianchen Sun Huimin Wang Upmanu Lall Jing Huang Gaofeng Liu |
| author_facet | Dianchen Sun Huimin Wang Upmanu Lall Jing Huang Gaofeng Liu |
| author_sort | Dianchen Sun |
| collection | DOAJ |
| description | The intensity and frequency of extreme weather is increasing in major metropolitan areas around the world, which results in unprecedented urban floods. However, subway systems lack consideration of flood risk, and few studies have assessed risk during flood events from the view of subway travel. In this study, subway travel risk was evaluated by flood hazard, subway travel exposure and population vulnerability under three groups of rainfall scenarios. The degree of spatial exposure was calculated based on smart card data and a census, and the vulnerability of the population was assessed based on human stability in floodwaters. The results in the study area indicate that subway travel risk grows with an increase in the rainfall return period, and the highest subway travel risk occurs in the morning peak period. The return periods of rainfall, time-to-peak, and duration have an impact on the spatiotemporal trajectory of subway travel risk. Furthermore, the traditional census tends to underestimate subway transportation exposure due to subway travel. Subway travel risk increases significantly under the extreme rainfall scenario and requires further research. This study provides risk maps for making travel decisions before departures and support for subway operators to develop risk warnings. |
| first_indexed | 2024-04-11T07:33:20Z |
| format | Article |
| id | doaj.art-ab147cbe3a594fae9f3e0d6fc596fd0a |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-04-11T07:33:20Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-ab147cbe3a594fae9f3e0d6fc596fd0a2022-12-22T04:36:49ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132022-12-011312796281810.1080/19475705.2022.2134056Subway travel risk evaluation during flood events based on smart card dataDianchen Sun0Huimin Wang1Upmanu Lall2Jing Huang3Gaofeng Liu4State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, ChinaDepartment of Earth & Environmental Engineering, Columbia University, New York, NY, USAState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, ChinaThe intensity and frequency of extreme weather is increasing in major metropolitan areas around the world, which results in unprecedented urban floods. However, subway systems lack consideration of flood risk, and few studies have assessed risk during flood events from the view of subway travel. In this study, subway travel risk was evaluated by flood hazard, subway travel exposure and population vulnerability under three groups of rainfall scenarios. The degree of spatial exposure was calculated based on smart card data and a census, and the vulnerability of the population was assessed based on human stability in floodwaters. The results in the study area indicate that subway travel risk grows with an increase in the rainfall return period, and the highest subway travel risk occurs in the morning peak period. The return periods of rainfall, time-to-peak, and duration have an impact on the spatiotemporal trajectory of subway travel risk. Furthermore, the traditional census tends to underestimate subway transportation exposure due to subway travel. Subway travel risk increases significantly under the extreme rainfall scenario and requires further research. This study provides risk maps for making travel decisions before departures and support for subway operators to develop risk warnings.https://www.tandfonline.com/doi/10.1080/19475705.2022.2134056Subway travelurban flood simulationpopulation exposurerisk modelling |
| spellingShingle | Dianchen Sun Huimin Wang Upmanu Lall Jing Huang Gaofeng Liu Subway travel risk evaluation during flood events based on smart card data Geomatics, Natural Hazards & Risk Subway travel urban flood simulation population exposure risk modelling |
| title | Subway travel risk evaluation during flood events based on smart card data |
| title_full | Subway travel risk evaluation during flood events based on smart card data |
| title_fullStr | Subway travel risk evaluation during flood events based on smart card data |
| title_full_unstemmed | Subway travel risk evaluation during flood events based on smart card data |
| title_short | Subway travel risk evaluation during flood events based on smart card data |
| title_sort | subway travel risk evaluation during flood events based on smart card data |
| topic | Subway travel urban flood simulation population exposure risk modelling |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2022.2134056 |
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