Mengya Li

Jiangsu Provincial Academy of Environmental Science

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Mei‐Po Kwan

Chinese University of Hong Kong

Q. Lena

Zhejiang University

Hongbo Li

Nanjing University

Jun Wang

Tianjin University of Finance and Economics

Albert L. Juhasz

University of South Australia

Jie Yin

Ocean University of China

Jun Wang

Chinese Academy of Fishery Sciences

Fahui Wang

Louisiana State University

Xianwei Zeng

Southern University of Science and Technology

Jinkai Tan

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

Cooperative Institutions

Chinese Academy of Sciences

East China Normal University

Nanjing University

State Key Laboratory of Pollution Control and Resource Reuse

University of Chinese Academy of Sciences

Beijing Normal University

Zhejiang University

Ministry of Agriculture and Rural Affairs

Fujian Agriculture and Forestry University

Ningxia Seismological Bureau

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A prediction scheme of tropical cyclone frequency based on lasso and random forest

Theoretical and Applied Climatology (2017)

Jinkai Tan Hexiang Liu Mengya Li Jun Wang

Lasso

10.1007/s00704-017-2233-3

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Citations (15)

Using points-of-interest data to estimate commuting patterns in central Shanghai, China

Journal of Transport Geography (2018)

Mengya Li Mei‐Po Kwan Fahui Wang Jun Wang

10.1016/j.jtrangeo.2018.09.004

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The Impact of Floods on the Mobility of Automobile Commuters in Shanghai Under Climate Change

International Journal of Disaster Risk Science (2024)

Qian Yao Xinmeng Shan Mengya Li Jun Wang

Abstract As sea level rises, low-lying coastal cites face increasing threat of flood disruption, particularly in terms of human mobility. Commuters are vulnerable to bad weather, as it is difficult to cancel trips even in extreme weather conditions. Using Shanghai’s automobile commuting population as an example, we categorized commuters by travel distance and income level to assess disruptions and delays due to floods, considering future sea level rise. The results show that local flooding disrupts commuting patterns by affecting roadways, with disruption decreasing with distance from the flooded area. This offers a mobility perspective on the indirect impacts of floods. During baseline flood events, long-distance commuters and the low-income group are most affected, while short-distance commuters and the high-income group are less impacted. As sea level rises, floods will threaten all commuting groups, especially the high-income group. Using inaccessibility-commuting delay bivariate maps, this study revealed how socioeconomic differences impact mobility recovery after floods under climate change. The research highlights the differential impacts of floods on various socioeconomic groups in the context of climate change, offering insights for future urban planning and disaster mitigation strategies.

Extreme Weather

10.1007/s13753-024-00604-3

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Measuring emergency medical service (EMS) accessibility with the effect of city dynamics in a 100-year pluvial flood scenario

Cities (2021)

Mengya Li Mei‐Po Kwan Jie Chen Jun Wang Jie Yin

Pluvial

Catchment area

10.1016/j.cities.2021.103314

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Citations (43)