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Scenario Simulation-Based Assessment of Trip Difficulty for Urban Residents under Rainstorm Waterlogging

Author

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  • Peng Chen

    (College of Urban and Environmental Sciences, Natural Disaster Research Institute, Northeast Normal University, Changchun, Jilin 130024, China
    School of Travel and Geographical Sciences, Jilin Normal University, Siping, Jilin 136000, China)

  • Jiquan Zhang

    (College of Urban and Environmental Sciences, Natural Disaster Research Institute, Northeast Normal University, Changchun, Jilin 130024, China)

  • Xinyu Jiang

    (Disaster Prevention Research Institute, Kyoto University, Uji 611-0011, Japan)

  • Xingpeng Liu

    (College of Urban and Environmental Sciences, Natural Disaster Research Institute, Northeast Normal University, Changchun, Jilin 130024, China)

  • Yulong Bao

    (College of Urban and Environmental Sciences, Natural Disaster Research Institute, Northeast Normal University, Changchun, Jilin 130024, China)

  • Yingyue Sun

    (School of Travel and Geographical Sciences, Jilin Normal University, Siping, Jilin 136000, China)

Abstract

In this study, an experiment was performed to assess the trip difficulty for urban residents of different age groups walk ing in various depths of water, and the data were corroborated with the real urban rainstorm waterlogging scenarios in downtown (Daoli district) Ha-Erbin (China). Mathematical models of urban rainstorm waterlogging were constructed using scenario simulation methods, aided by the GIS spatial analysis technology and hydrodynamic analysis of the waterway systems in the study area. Then these models were used to evaluate the impact of waterlogging on the safety of residents walking in the affected area. Results are summarized as: (1) for an urban rainstorm waterlogging scenario reoccurring once every 10 years, three grid regions would have waterlogging above 0.5 m moving at a velocity of 1.5 m/s. Under this scenario, waterlogging would accumulate on traffic roads only in small areas, affecting the safety and mobility of residents walking in the neighborhood; (2) for an urban rainstorm waterlogging scenario reoccurring once every 20 years , 13 grids experienced the same waterlogging situation affecting a larger area of the city; (3) for an urban rainstorm waterlogging scenario reoccurring once every 50 years, 86 grid regions were affected ( waterlogging above 0.5 m moving at 1.5 m/s), and those areas would become impassable for residents.

Suggested Citation

  • Peng Chen & Jiquan Zhang & Xinyu Jiang & Xingpeng Liu & Yulong Bao & Yingyue Sun, 2012. "Scenario Simulation-Based Assessment of Trip Difficulty for Urban Residents under Rainstorm Waterlogging," IJERPH, MDPI, vol. 9(6), pages 1-18, May.
    • Handle: RePEc:gam:jijerp:v:9:y:2012:i:6:p:2057-2074:d:18065
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    Citations

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    Cited by:

    1. Qi Zhang & Jiquan Zhang & Liupeng Jiang & Xingpeng Liu & Zhijun Tong, 2014. "Flood Disaster Risk Assessment of Rural Housings — A Case Study of Kouqian Town in China," IJERPH, MDPI, vol. 11(4), pages 1-16, April.
    2. Peng Chen & Jiquan Zhang & Lifeng Zhang & Yingyue Sun, 2014. "Evaluation of Resident Evacuations in Urban Rainstorm Waterlogging Disasters Based on Scenario Simulation: Daoli District (Harbin, China) as an Example," IJERPH, MDPI, vol. 11(10), pages 1-17, September.
    3. Chao Wang & Yongheng Gu & Fei Ma & Yongping Li, 2022. "Extreme Weather Influence on Carbon Emissions in Chinese Urban Traffic Environments," SAGE Open, , vol. 12(3), pages 21582440221, August.

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