IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i16p9074-d613799.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/16/9074/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/16/9074/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Peng Nie & Andrew E. Clarck & Conchita D'Ambrosio & Lanlin Ding, 2020. "Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions," Working Papers 524, ECINEQ, Society for the Study of Economic Inequality.
    3. Allanson, Paul, 2017. "Monitoring income-related health differences between regions in Great Britain: A new measure for ordinal health data," Social Science & Medicine, Elsevier, vol. 175(C), pages 72-80.
    4. Yunyun Jiang & Haitao Zheng & Tianhao Zhao, 2019. "Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data," IJERPH, MDPI, vol. 16(2), pages 1-19, January.
    5. Changjian Pan & Qiuyan Fan & Jing Yang & Dasong Deng, 2019. "Health Inequality Among the Elderly in Rural China and Influencing Factors: Evidence from the Chinese Longitudinal Healthy Longevity Survey," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
    6. Xiaodong Cui & Ching-Ter Chang, 2020. "Distribution Dynamics, Regional Differences, and Convergence of Elderly Health Levels in China," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    7. Dongling Zhang & Guoqing Zhang & Yuxin Jiao & Yanyan Wang & Pengnian Wang, 2022. "“Digital Dividend” or “Digital Divide”: What Role Does the Internet Play in the Health Inequalities among Chinese Residents?," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    8. Sandip Sarkar & Sattwik Santra, 2020. "Extending the approaches to polarization ordering of ordinal variables," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(3), pages 421-440, September.
    9. Jeremy Barofsky & Stephen D. Younger, 2019. "The Effect of Government Health Expenditure on the Income Distribution: A Comparison of Valuation Methods in Ghana," Commitment to Equity (CEQ) Working Paper Series 66, Tulane University, Department of Economics.
    10. Joan Costa‐Font & Frank A. Cowell & Belen Saenz de Miera, 2021. "Measuring pure health inequality and mobility during a health insurance expansion: Evidence from Mexico," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1833-1848, August.
    11. Peng Nie & Yan Li & Lanlin Ding & Alfonso Sousa-Poza, 2021. "Housing Poverty and Healthy Aging in China: Evidence from the China Health and Retirement Longitudinal Study," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    12. Joan Costa-i-Font & Frank Cowell & Belén Saénz de Miera Juárez, 2017. "Does Insurance Expansion Alter Health Inequality and Mobility? Evidence from the Mexican Seguro Popular," CESifo Working Paper Series 6788, CESifo.
    13. Tong Zhang & Chaofan Chen, 2018. "The Effect of Public Participation on Environmental Governance in China–Based on the Analysis of Pollutants Emissions Employing a Provincial Quantification," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    14. Li, Kunming & Fang, Liting & He, Lerong, 2019. "How population and energy price affect China's environmental pollution?," Energy Policy, Elsevier, vol. 129(C), pages 386-396.
    15. 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).
    16. Huang, Guobin & Zhang, Jie & Yu, Jian & Shi, Xunpeng, 2020. "Impact of transportation infrastructure on industrial pollution in Chinese cities: A spatial econometric analysis," Energy Economics, Elsevier, vol. 92(C).
    17. Deng, Yuping & Wu, Yanrui & Xu, Helian, 2019. "Political turnover and firm pollution discharges: An empirical study," China Economic Review, Elsevier, vol. 58(C).
    18. Xiaokun Su & Chenrouyu Zheng & Yefei Yang & Yafei Yang & Wen Zhao & Yue Yu, 2022. "Spatial Structure and Development Patterns of Urban Traffic Flow Network in Less Developed Areas: A Sustainable Development Perspective," Sustainability, MDPI, vol. 14(13), pages 1-18, July.
    19. Yuping Deng & Yanrui Wu & Helian Xu, 2022. "Emission Reduction and Value-added Export Nexus at Firm Level," Economics Discussion / Working Papers 22-19, The University of Western Australia, Department of Economics.
    20. Jianfei Zhao & Anan Pongtornkulpanich & Wenjin Cheng, 2022. "The Impact of Board Size on Green Innovation in China’s Heavily Polluting Enterprises: The Mediating Role of Innovation Openness," Sustainability, MDPI, vol. 14(14), pages 1-20, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9074-:d:613799. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.