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Impact of COVID-19 on Urban Mobility during Post-Epidemic Period in Megacities: From the Perspectives of Taxi Travel and Social Vitality

Author

Listed:
  • Guangyue Nian

    (Department of Transportation and Shipping Logistics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Bozhezi Peng

    (Department of Transportation and Shipping Logistics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Daniel (Jian) Sun

    (State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Wenjun Ma

    (China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China
    School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Bo Peng

    (China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China
    School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Tianyuan Huang

    (School of Life Sciences, Fudan University, Shanghai 200438, China)

Abstract

The prevention and control of COVID-19 in megacities is under large pressure because of tens of millions and high-density populations. The majority of epidemic prevention and control policies implemented focused on travel restrictions, which severely affected urban mobility during the epidemic. Considering the impacts of epidemic and associated control policies, this study analyzes the relationship between COVID-19, travel of residents, Point of Interest (POI), and social activities from the perspective of taxi travel. First, changes in the characteristics of taxi trips at different periods were analyzed. Next, the relationship between POIs and taxi travels was established by the Geographic Information System (GIS) method, and the spatial lag model (SLM) was introduced to explore the changes in taxi travel driving force. Then, a social activities recovery level evaluation model was proposed based on the taxi travel datasets to evaluate the recovery of social activities. The results demonstrated that the number of taxi trips dropped sharply, and the travel speed, travel time, and spatial distribution of taxi trips had been significantly influenced during the epidemic period. The spatial correlation between taxi trips was gradually weakened after the outbreak of the epidemic, and the consumption travel demand of people significantly decreased while the travel demand for community life increased dramatically. The evaluation score of social activity is increased from 8.12 to 74.43 during the post-epidemic period, which may take 3–6 months to be fully recovered as a normal period. Results and models proposed in this study may provide references for the optimization of epidemic control policies and recovery of public transport in megacities during the post-epidemic period.

Suggested Citation

  • Guangyue Nian & Bozhezi Peng & Daniel (Jian) Sun & Wenjun Ma & Bo Peng & Tianyuan Huang, 2020. "Impact of COVID-19 on Urban Mobility during Post-Epidemic Period in Megacities: From the Perspectives of Taxi Travel and Social Vitality," Sustainability, MDPI, vol. 12(19), pages 1-29, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7954-:d:419721
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    References listed on IDEAS

    as
    1. Askitas, Nikos & Tatsiramos, Konstantinos & Verheyden, Bertrand, 2020. "Lockdown Strategies, Mobility Patterns and COVID-19," IZA Discussion Papers 13293, Institute of Labor Economics (IZA).
    2. Henry S. Farber, 2015. "Why you Can’t Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1975-2026.
    3. Kaja Primc & Renata Slabe-Erker, 2020. "The Success of Public Health Measures in Europe during the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(10), pages 1-13, May.
    4. Amory Martin & Maryia Markhvida & Stéphane Hallegatte & Brian Walsh, 2020. "Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 453-479, October.
    5. Sun, Daniel(Jian) & Ding, Xueqing, 2019. "Spatiotemporal evolution of ridesourcing markets under the new restriction policy: A case study in Shanghai," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 227-239.
    6. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    7. Chen, Fangxi & Yin, Zhiwei & Ye, Yingwei & Sun, Daniel(Jian), 2020. "Taxi hailing choice behavior and economic benefit analysis of emission reduction based on multi-mode travel big data," Transport Policy, Elsevier, vol. 97(C), pages 73-84.
    8. Anselin, Luc & Getis, Arthur, 1992. "Spatial Statistical Analysis and Geographic Information Systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 19-33, April.
    9. Jizhou Huang & Haifeng Wang & Haoyi Xiong & Miao Fan & An Zhuo & Ying Li & Dejing Dou, 2020. "Quantifying the Economic Impact of COVID-19 in Mainland China Using Human Mobility Data," Papers 2005.03010, arXiv.org.
    10. Xinglong Wang & Shangfei Miao & Junqing Tang, 2020. "Vulnerability and Resilience Analysis of the Air Traffic Control Sector Network in China," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    11. Michael Batty, 2020. "The Coronavirus crisis: What will the post-pandemic city look like?," Environment and Planning B, , vol. 47(4), pages 547-552, June.
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    5. Shanna Trichês Lucchesi & Virginia Bergamaschi Tavares & Miriam Karla Rocha & Ana Margarita Larranaga, 2022. "Public Transport COVID-19-Safe: New Barriers and Policies to Implement Effective Countermeasures under User’s Safety Perspective," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    6. Biruk G. Mesfin & Daniel(Jian) Sun & Bo Peng, 2022. "Impact of COVID-19 on Urban Mobility and Parking Demand Distribution: A Global Review with Case Study in Melbourne, Australia," IJERPH, MDPI, vol. 19(13), pages 1-15, June.
    7. Gramsch, Benjamin & Guevara, C. Angelo & Munizaga, Marcela & Schwartz, Daniel & Tirachini, Alejandro, 2022. "The effect of dynamic lockdowns on public transport demand in times of COVID-19: Evidence from smartcard data," Transport Policy, Elsevier, vol. 126(C), pages 136-150.
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