Impacts of COVID-19 Pandemic on Travel Behavior in Large Cities of China: Investigation on the Lockdown and Reopening Phases
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 2
Abstract
The COVID-19 pandemic has caused worldwide lockdowns and similar containment measures aiming to curb the spread of the virus. Lockdown measures have been implemented in cities amid the COVID-19 outbreak. After the pandemic is under control, cities will be gradually reopened. This study aims to investigate the variations in urban travel behavior during the lockdown and reopening phases. On the basis of long-term traffic congestion index data and subway ridership data in eight typical cities of China, this study carried out comparisons on urban travel behaviors with and without the pandemic. Changes in the multimodal travel behaviors in different times of day and days of week are analyzed during the lockdown and reopening phases. Multivariate and one-way analyses of variance are conducted to show the statistical significance of the changes. This study further investigates the relationship between the returned-to-work (RTW) rate and travel behaviors in the reopening phase. A stepwise multiple regression is conducted to quantify the impacts of influencing factors (i.e., population migration index, RTW rate, socioeconomic indices, and pandemic statistical indicators) on vehicular traffic after reopening. Results show that the lockdown measure has a significant impact on reducing the traffic congestion during the peak hours on workdays, and the subway ridership dropped to below 10% of the prepandemic level during the lockdown phase. Travel demands tended to switch from subways to private vehicular travel modes during the reopening phase, leading to a rapid recovery of vehicular traffic and a slow recovery of subway ridership. The recovery of vehicular traffic is proved to be related to the RTW rate, certain city characteristics, and new COVID-19 cases after city reopening.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.
Acknowledgments
The research reported in this paper is partly supported by the National Natural Science Foundation of China (71871123). The authors would also like to thank the Baidu Map for providing the data of congestion index and return-to-work rate in different cities.
References
Aloi, A., B. Alonso, J. Benavente, R. Cordera, E. Echániz, F. González, C. Ladisa, R. Lezama-Romanelli, Á. López-Parra, and V. Mazzei. 2020. “Effects of the COVID-19 lockdown on urban mobility: Empirical evidence from the city of Santander (Spain).” Sustainability 12 (9): 3870. https://doi.org/10.3390/su12093870.
Armstrong, R. A., and A. C. Hilton. 2010. “Stepwise multiple regression.” In Statistical analysis in microbiology: StatNotes, 135–138. Hoboken, NJ: Wiley. https://doi.org/10.1002/9780470905173.ch26.
Beck, M. J., and D. A. Hensher. 2020. “Insights into the impact of COVID-19 on household travel and activities in Australia: The early days under restrictions.” Trans. Policy 96 (Sep): 76–93. https://doi.org/10.1016/j.tranpol.2020.07.001.
Bian, Z., F. Zuo, J. Gao, Y. Chen, S. S. C. Pavuluri Venkata, S. Duran Bernardes, K. Ozbay, X. Ban, and J. Wang. 2021. “Time lag effects of COVID-19 policies on transportation systems: A comparative study of New York City and Seattle.” Trans. Res. Part A: Policy Pract. 145 (Mar): 269–283. https://doi.org/10.1016/j.tra.2021.01.019.
Bucsky, P. 2020. “Modal share changes due to COVID-19: The case of Budapest.” Trans. Res. Interdiscip. Perspect. 8 (Nov): 100141. https://doi.org/10.1016/j.trip.2020.100141.
Budd, L., and S. Ison. 2020. “Responsible transport: A post-COVID agenda for transport policy and practice.” Trans. Res. Interdiscip. Perspect. 6 (Jul): 100151. https://doi.org/10.1016/j.trip.2020.100151.
Caballini, C., M. Agostino, and B. Dalla Chiara. 2021. “Physical mobility and virtual communication in Italy: Trends, analytical relationships and policies for the post COVID-19.” Trans. Policy 110 (Sep): 314–334. https://doi.org/10.1016/j.tranpol.2021.06.007.
Chinazzi, M., et al. 2020. “The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.” Science 368 (6489): 395. https://doi.org/10.1126/science.aba9757.
Dai, J., Z. Liu, and R. Li. 2021. “Improving the subway attraction for the post-COVID-19 era: The role of fare-free public transport policy.” Transp. Policy 103 (Mar): 21–30. https://doi.org/10.1016/j.tranpol.2021.01.007.
De Vos, J. 2020. “The effect of COVID-19 and subsequent social distancing on travel behavior.” Transp. Res. Interdiscip. Perspect. 5 (May): 100121. https://doi.org/10.1016/j.trip.2020.100121.
Ding, Y., S. Wandelt, and X. Sun. 2021. “TLQP: Early-stage transportation lock-down and quarantine problem.” Transp. Res. Part C Emerging Technol. 129 (Aug): 103218. https://doi.org/10.1016/j.trc.2021.103218.
Favale, T., F. Soro, M. Trevisan, I. Drago, and M. Mellia. 2020. “Campus traffic and e-Learning during COVID-19 pandemic.” Comput. Netw. 176 (Jul): 107290. https://doi.org/10.1016/j.comnet.2020.107290.
Ghosh, A. K. 2007. “Applied MANOVA and discriminant analysis.” J. Am. Stat. Assoc. 102 (479): 1075–1076. https://doi.org/10.1198/jasa.2007.s203.
Goenaga, B., N. Matini, D. Karanam, and B. S. Underwood. 2021. “Disruption and recovery: Initial assessment of COVID-19 traffic impacts in North Carolina and Virginia.” J. Transp. Eng. Part A Syst. 147 (4): 06021001. https://doi.org/10.1061/JTEPBS.0000518.
Guan, D., et al. 2020. “Global supply-chain effects of COVID-19 control measures.” Nat. Hum. Behav. 4 (6): 577–587. https://doi.org/10.1038/s41562-020-0896-8.
Hensher, D. A., M. J. Beck, and E. Wei. 2021. “Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic.” Transp. Res. Part A Policy Pract. 148 (Jun): 64–78. https://doi.org/10.1016/j.tra.2021.03.027.
Hu, S., C. Xiong, M. Yang, H. Younes, W. Luo, and L. Zhang. 2021. “A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic.” Transp. Res. Part C Emerging Technol. 124 (Mar): 102955. https://doi.org/10.1016/j.trc.2020.102955.
Iacus, S. M., F. Natale, C. Santamaria, S. Spyratos, and M. Vespe. 2020. “Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact.” Saf. Sci. 129 (Sep): 104791. https://doi.org/10.1016/j.ssci.2020.104791.
Kapser, S., M. Abdelrahman, and T. Bernecker. 2021. “Autonomous delivery vehicles to fight the spread of Covid-19: How do men and women differ in their acceptance?” Transp. Res. Part A Policy Pract. 148 (Jun): 183–198. https://doi.org/10.1016/j.tra.2021.02.020.
Kerimray, A., N. Baimatova, O. P. Ibragimova, B. Bukenov, B. Kenessov, P. Plotitsyn, and F. Karaca. 2020. “Assessing air quality changes in large cities during COVID-19 lockdowns: The impacts of traffic-free urban conditions in Almaty, Kazakhstan.” Sci. Total Environ. 730 (Aug): 139179. https://doi.org/10.1016/j.scitotenv.2020.139179.
Keyvan-Ekbatani, M., A. Kouvelas, I. Papamichail, and M. Papageorgiou. 2012. “Exploiting the fundamental diagram of urban networks for feedback-based gating.” Transp. Res. Part B Methodol. 46 (10): 1393–1403. https://doi.org/10.1016/j.trb.2012.06.008.
Kraemer, M. U., C.-H. Yang, B. Gutierrez, C.-H. Wu, B. Klein, D. M. Pigott, L. Du Plessis, N. R. Faria, R. Li, and W. P. Hanage. 2020. “The effect of human mobility and control measures on the COVID-19 epidemic in China.” Science 368 (6490): 493–497. https://doi.org/10.1126/science.abb4218.
Lau, H., V. Khosrawipour, P. Kocbach, A. Mikolajczyk, H. Ichii, M. Zacharksi, J. Bania, and T. Khosrawipour. 2020a. “The association between international and domestic air traffic and the coronavirus (COVID-19) outbreak.” J. Microbiol. Immunol. Infect. 53 (3): 467–472. https://doi.org/10.1016/j.jmii.2020.03.026.
Lau, H., V. Khosrawipour, P. Kocbach, A. Mikolajczyk, J. Schubert, J. Bania, and T. Khosrawipour. 2020b. “The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China.” J. Travel Med. 27 (3): taaa037. https://doi.org/10.1093/jtm/taaa037.
Li, D., Z. Liu, Q. Liu, Z. Gao, J. Zhu, J. Yang, and Q. Wang. 2020. “Estimating the efficacy of quarantine and traffic blockage for the epidemic caused by 2019-nCoV (COVID-19): A simulation analysis.” medRxiv. https://doi.org/10.1101/2020.02.14.20022913.
Liu, Z., and R. Stern. 2021. “Quantifying the traffic impacts of the COVID-19 shutdown.” J. Transp. Eng. Part A Syst. 147 (5): 04021014. https://doi.org/10.1061/JTEPBS.0000527.
Lu, J., A. Lin, C. Jiang, A. Zhang, and Z. Yang. 2021. “Influence of transportation network on transmission heterogeneity of COVID-19 in China.” Transp. Res. Part C Emerging Technol. 129 (Aug): 103231. https://doi.org/10.1016/j.trc.2021.103231.
Ministry of Transport. 2020. Passenger volume in major cities. Beijing: Ministry of Transport of the People’s Republic of China.
Mo, B., K. Feng, Y. Shen, C. Tam, D. Li, Y. Yin, and J. Zhao. 2021. “Modeling epidemic spreading through public transit using time-varying encounter network.” Transp. Res. Part C Emerging Technol. 122 (Jan): 102893. https://doi.org/10.1016/j.trc.2020.102893.
Mogaji, E. 2020. “Impact of COVID-19 on transportation in Lagos, Nigeria.” Transp. Res. Interdiscip. Perspect. 6 (Jul): 100154. https://doi.org/10.1016/j.trip.2020.100154.
Nakada, L. Y. K., and R. C. Urban. 2020. “COVID-19 pandemic: Impacts on the air quality during the partial lockdown in São Paulo state, Brazil.” Sci. Total Environ. 730 (Aug): 139087. https://doi.org/10.1016/j.scitotenv.2020.139087.
National Bureau of Statistics. 2020. China city statistical yearbook 2019. Beijing: China Statistics Press.
Parr, S., B. Wolshon, P. Murray-Tuite, and T. Lomax. 2021. “Multistate assessment of roadway travel, social separation, and COVID-19 cases.” J. Transp. Eng. Part A Syst. 147 (5): 04021012. https://doi.org/10.1061/JTEPBS.0000528.
Parr, S., B. Wolshon, J. Renne, P. Murray-Tuite, and K. Kim. 2020. “Traffic impacts of the COVID-19 pandemic: Statewide analysis of social separation and activity restriction.” Nat. Hazard. Rev. 21 (3): 04020025. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000409.
Pullano, G., E. Valdano, N. Scarpa, S. Rubrichi, and V. Colizza. 2020. “Population mobility reductions during COVID-19 epidemic in France under lockdown.” medRxiv 29: 2020. https://doi.org/10.1016/S2589-7500(20)30243-0.
Rutherford, A. 2011. ANOVA and ANCOVA: A GLM approach. New York: Wiley.
Sjödin, H., A. Wilder-Smith, S. Osman, Z. Farooq, and J. Rocklöv. 2020. “Only strict quarantine measures can curb the coronavirus disease (COVID-19) outbreak in Italy, 2020.” Euro Surveill 25 (13): 2000280.
Suzumura, T., H. Kanezashi, M. Dholakia, E. Ishii, S. A. Napagao, R. Pérez-Arnal, and D. Garcia-Gasulla. 2020. “The impact of COVID-19 on flight networks.” Preprint, submitted June 4, 2020. http://arxiv.org/abs/2006.02950.
Teixeira, J. F., and M. Lopes. 2020. “The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York’s Citi Bike.” Transp. Res. Interdiscip. Perspect. 6 (Jul): 100166. https://doi.org/10.1016/j.trip.2020.100166.
Tobías, A., C. Carnerero, C. Reche, J. Massagué, M. Via, M. C. Minguillón, A. Alastuey, and X. Querol. 2020. “Changes in air quality during the lockdown in Barcelona (Spain) one month into the SARS-CoV-2 epidemic.” Sci. Total Environ. 726 (Jul): 138540. https://doi.org/10.1016/j.scitotenv.2020.138540.
Wang, H., and R. B. Noland. 2021. “Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City.” Transp. Policy 106 (Jun): 262–270. https://doi.org/10.1016/j.tranpol.2021.04.004.
Zafri, N. M., S. Afroj, and M. A. Ali. 2020. “Effectiveness of containment strategies to control vehicular traffic on roads in Dhaka, Bangladesh during COVID-19 pandemic: Use of Google Map based real-time traffic data.” SSRN Electron. J. https://doi.org/10.2139/ssrn.3638853.
Zhang, Y., and J. D. Fricker. 2021. “Quantifying the impact of COVID-19 on non-motorized transportation: A Bayesian structural time series model.” Transp. Policy 103 (Mar): 11–20. https://doi.org/10.1016/j.tranpol.2021.01.013.
Zhang, Y., A. Zhang, and J. Wang. 2020. “Exploring the roles of high-speed train, air and coach services in the spread of COVID-19 in China.” Transp. Policy 94 (Aug): 34–42. https://doi.org/10.1016/j.tranpol.2020.05.012.
Zheng, H., K. Zhang, and Y. Nie. 2021. “Plunge and rebound of a taxi market through COVID-19 lockdown: Lessons learned from Shenzhen, China.” Transp. Res. Part A Policy Pract. 150 (Aug): 349–366. https://doi.org/10.1016/j.tra.2021.06.012.
Zhong, B.-L., W. Luo, H.-M. Li, Q.-Q. Zhang, X.-G. Liu, W.-T. Li, and Y. Li. 2020. “Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: A quick online cross-sectional survey.” Int. J. Biol. Sci. 16 (10): 1745. https://doi.org/10.7150/ijbs.45221.
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Journal of Transportation Engineering, Part A: Systems
Volume 148 • Issue 2 • February 2022
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© 2021 American Society of Civil Engineers.
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Received: Mar 20, 2021
Accepted: Oct 1, 2021
Published online: Nov 17, 2021
Published in print: Feb 1, 2022
Discussion open until: Apr 17, 2022
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