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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

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    Cited by:

    1. de Palma, André & Vosough, Shaghayegh & Liao, Feixiong, 2022. "An overview of effects of COVID-19 on mobility and lifestyle: 18 months since the outbreak," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 372-397.
    2. Wang, Wei & Miao, Wei & Liu, Yongdong & Deng, Yiting & Cao, Yunfei, 2022. "The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 128-141.
    3. Kwang-Sub Lee & Jin Ki Eom, 2024. "Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility," Transportation, Springer, vol. 51(5), pages 1907-1961, October.
    4. Guadalupe González-Sánchez & María Isabel Olmo-Sánchez & Elvira Maeso-González, 2021. "Challenges and Strategies for Post-COVID-19 Gender Equity and Sustainable Mobility," Sustainability, MDPI, vol. 13(5), pages 1-19, February.
    5. 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.
    6. Adam Przybylowski & Sandra Stelmak & Michal Suchanek, 2021. "Mobility Behaviour in View of the Impact of the COVID-19 Pandemic—Public Transport Users in Gdansk Case Study," Sustainability, MDPI, vol. 13(1), pages 1-12, January.
    7. repec:ers:journl:v:xxiv:y:2021:i:3b:p:749-768 is not listed on IDEAS
    8. 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.
    9. 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.

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