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Vulnerability and Resilience of Urban Traffic to Precipitation in China

Author

Listed:
  • Min Zhang

    (Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China)

  • Yufu Liu

    (Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China)

  • Yixiong Xiao

    (Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China)

  • Wenqi Sun

    (Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China)

  • Chen Zhang

    (Beijing Baidu Netcom Science Technology Co., Ltd., Beijing 100085, China)

  • Yong Wang

    (Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China)

  • Yuqi Bai

    (Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China)

Abstract

The concept of Healthy Cities, introduced by the World Health Organization, demonstrates the value of health for the whole urban system. As one of the most important components of urban systems, transportation plays an important role in Healthy Cities. Many transportation evaluation systems focus on factors such as road networks, parking spaces, transportation speed, accessibility, convenience, and commuting time, while the vulnerability and resilience of urban transportation are rarely evaluated. This study presents the preliminary progress in the evaluation of traffic vulnerability and resilience during precipitation events in 39 Chinese cities. Traffic congestion index data, derived from the Baidu Map Smart Transportation Platform, and rainfall data, derived from NASA’s global precipitation measurement, are utilized. Traffic vulnerability index, traffic resilience index, and the corresponding quantitative methods are proposed, and the analysis results are presented. This study is of value in improving the understanding of urban traffic vulnerability and resilience, and in enabling the quantitative evaluation of them in urban health assessment and the Healthy Cities program.

Suggested Citation

  • Min Zhang & Yufu Liu & Yixiong Xiao & Wenqi Sun & Chen Zhang & Yong Wang & Yuqi Bai, 2021. "Vulnerability and Resilience of Urban Traffic to Precipitation in China," IJERPH, MDPI, vol. 18(23), pages 1-13, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12342-:d:686703
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    References listed on IDEAS

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    1. Liyin Shen & Lei Du & Xining Yang & Xiaoyun Du & Jinhuan Wang & Jianli Hao, 2018. "Sustainable Strategies for Transportation Development in Emerging Cities in China: A Simulation Approach," Sustainability, MDPI, vol. 10(3), pages 1-22, March.
    2. Lan Zhu & Dawei Hu, 2019. "Study on the vehicle routing problem considering congestion and emission factors," International Journal of Production Research, Taylor & Francis Journals, vol. 57(19), pages 6115-6129, October.
    3. Yang, Mian & Ma, Tiemeng & Sun, Chuanwang, 2018. "Evaluating the impact of urban traffic investment on SO2 emissions in China cities," Energy Policy, Elsevier, vol. 113(C), pages 20-27.
    4. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    5. Markolf, Samuel A. & Hoehne, Christopher & Fraser, Andrew & Chester, Mikhail V. & Underwood, B. Shane, 2019. "Transportation resilience to climate change and extreme weather events – Beyond risk and robustness," Transport Policy, Elsevier, vol. 74(C), pages 174-186.
    6. Chang, Yu Sang & Lee, Yong Joo & Choi, Sung Sup Brian, 2017. "Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest U.S. urban centers-," Transport Policy, Elsevier, vol. 59(C), pages 54-63.
    7. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    8. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    9. Barry Evans & Albert S. Chen & Slobodan Djordjević & James Webber & Andoni González Gómez & John Stevens, 2020. "Investigating the Effects of Pluvial Flooding and Climate Change on Traffic Flows in Barcelona and Bristol," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    10. Saeed Nosratabadi & Amir Mosavi & Ramin Keivani & Sina Ardabili & Farshid Aram, 2020. "State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability," Papers 2010.02670, arXiv.org.
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