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Impact of Rainfall on Traffic Speed in Major Cities of China

Author

Listed:
  • Min Zhang

    (Department of Earth System Science, Tsinghua University, Beijing 100084, China)

  • Yufu Liu

    (Department of Earth System Science, Tsinghua University, Beijing 100084, China)

  • Wenqi Sun

    (Department of Earth System Science, Tsinghua University, Beijing 100084, China)

  • Yixiong Xiao

    (Department of Earth System Science, Tsinghua University, Beijing 100084, China)

  • Chang Jiang

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

  • Yong Wang

    (Department of Earth System Science, Tsinghua University, Beijing 100084, China)

  • Yuqi Bai

    (Department of Earth System Science, Tsinghua University, Beijing 100084, China)

Abstract

The construction of healthy transportation is an important ingredient for promoting the healthy development of cities. The establishment of an urban traffic evaluation mechanism can provide an important basis for the construction of healthy transportation. This study focused on the impact of precipitation on traffic speed and developed an urban traffic vulnerability index. This index reflects the degree of traffic affected by precipitation, which is calculated based on the traffic congestion index under different rainfall intensities. The traffic vulnerability indices of 41 major cities in China under rainfall conditions were evaluated. Based on the above traffic vulnerability indexes, the impact of socioeconomic factors on urban traffic vulnerability was analyzed. The three key findings of this study are as follows: there was a positive correlation between the vulnerability index and the gross domestic product (GDP); the urban population (POP) had a significant impact on the urban traffic vulnerability; and urban car ownership had little impact on traffic vulnerability. Based on these findings, possible measures to improve urban traffic vulnerability are proposed. The construction of an index system provides a basis for enhancing the urban traffic assessment mechanism, promoting the development of urban physical examinations and building healthy transportation and healthy cities.

Suggested Citation

  • Min Zhang & Yufu Liu & Wenqi Sun & Yixiong Xiao & Chang Jiang & Yong Wang & Yuqi Bai, 2021. "Impact of Rainfall on Traffic Speed in Major Cities of China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9074-:d:613799
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    References listed on IDEAS

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    1. Zheng, Siqi & Kahn, Matthew E. & Sun, Weizeng & Luo, Danglun, 2014. "Incentives for China's urban mayors to mitigate pollution externalities: The role of the central government and public environmentalism," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 61-71.
    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. Zhongyu Han & Hatim O. Sharif, 2020. "Investigation of the Relationship between Rainfall and Fatal Crashes in Texas, 1994–2018," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    4. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2021. "Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data," International Journal of Production Economics, Elsevier, vol. 235(C).
    5. 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.
    6. 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.
    7. Wesley E. Marshall & Eric Dumbaugh, 2020. "Revisiting the relationship between traffic congestion and the economy: a longitudinal examination of U.S. metropolitan areas," Transportation, Springer, vol. 47(1), pages 275-314, February.
    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. Yu Sang Chang & Sung Jun Jo & Yoo-Taek Lee & Yoonji Lee, 2021. "Population Density or Populations Size. Which Factor Determines Urban Traffic Congestion?," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    10. 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.
    11. 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.
    12. Hu, Beibei & Zhang, Shuang & Ding, Yang & Zhang, Min & Dong, Xianlei & Sun, Huijun, 2021. "Research on the coupling degree of regional taxi demand and social development from the perspective of job–housing travels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
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    1. Marijo Vidas & Vladan Tubić & Ivan Ivanović & Marko Subotić, 2022. "One Approach to Quantifying Rainfall Impact on the Traffic Flow of a Specific Freeway Segment," Sustainability, MDPI, vol. 14(9), pages 1-16, April.

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