An exploration of post-COVID household vehicle ownership in the USA using panel data: An application of the generalized ordered logit model
DOI:
https://doi.org/10.59490/ejtir.2026.26.4.8150Keywords:
vehicle ownership, generalized ordered logit, COVID-19, panel data, PSIDAbstract
Vehicle ownership is a key determinant of auto use, but while much COVID-19 research has focused on shifts from public transit to driving, changes in household vehicle ownership itself have received little attention. This study examines pre- and post-COVID changes in vehicle ownership propensity among US households using panel data from the Panel Study of Income Dynamics (PSID) for 2019 and 2021. A generalized ordered logit (GOL) framework is applied to model ownership changes between the two years, incorporating state dependency on 2019 ownership levels. Overall, vehicle ownership increased for 17% of households and decreased for 21%. Multivariate GOL results show that individual- and household-level demographic shifts, such as changes in marital status and increases in family size, had the largest marginal effects on ownership changes. However, even after controlling for these demographic factors, COVID-19-related variables, including financial difficulty and essential worker status, remained significant predictors of ownership change between the pre- and post-pandemic periods. Overall, the pandemic does not appear to have substantially altered vehicle ownership trends in the auto-oriented US context. Nonetheless, certain population segments, particularly households with essential workers, may face greater vehicle needs during or immediately after crises like COVID-19. These findings suggest that policies addressing transportation equity should account for demographic transitions alongside pandemic-specific stressors, as both jointly shape household vehicle ownership decisions in periods of disruption.
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Basu, R., & Ferreira, J. (2021). Sustainable mobility in auto-dominated Metro Boston: Challenges and opportunities post-COVID-19. Transport Policy, 103, 197–210. https://doi.org/10.1016/j.tranpol.2021.01.006
Belzunegui-Eraso, A., & Erro-Garcés, A. (2020). Teleworking in the context of the Covid-19 crisis. Sustainability, 12(9), Article 3662. https://doi.org/10.3390/su12093662
Lerman, S. R., & Ben-Akiva, M. (1975). Disaggregate behavioural model of automobile ownership. Transportation Research Record, 569, 34–51.
Bhat, C. R., & Pulugurta, V. (1998). A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions. Transportation Research Part B: Methodological, 32(1), 61–75. https://doi.org/10.1016/S0191-2615(97)00014-3
Das, S., Boruah, A., Banerjee, A., Raoniar, R., Nama, S., & Maurya, A. K. (2021). Impact of COVID-19: A radical modal shift from public to private transport mode. Transport Policy, 109, 1–11. https://doi.org/10.1016/j.tranpol.2021.05.005
Eisenmann, C., Nobis, C., Kolarova, V., Lenz, B., & Winkler, C. (2021). Transport mode use during the COVID-19 lockdown period in Germany: The car became more important, public transport lost ground. Transport Policy, 103, 60–67. https://doi.org/10.1016/j.tranpol.2021.01.012
Eluru, N., Bhat, C. R., & Hensher, D. A. (2007). A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. Accident Analysis & Prevention, 40(3), 1033–1054. https://doi.org/10.1016/j.aap.2007.11.010
Eluru, N., & Yasmin, S. (2015). A note on generalized ordered outcome models. Analytic Methods in Accident Research, 8, 1–6. https://doi.org/10.1016/j.amar.2015.04.002
Fatmi, M. R., Thirkell, C., & Hossain, M. S. (2021). COVID-19 and travel: How our out-of-home travel activity, in-home activity, and long-distance travel have changed. Transportation Research Interdisciplinary Perspectives, 10, Article 100350. https://doi.org/10.1016/j.trip.2021.100350
Habib, M. A., & Anik, M. A. H. (2021). Examining the long term impacts of COVID-19 using an integrated transport and land-use modelling system. International Journal of Urban Sciences, 25(3), 323–346. https://doi.org/10.1080/12265934.2021.1951821
Hess, S., & Palma, D. (2019). Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application. Journal of Choice Modelling, 32, Article 100170. https://doi.org/10.1016/j.jocm.2019.100170
Javadinasr, M., Maggasy, T., Mohammadi, M., Mohammadain, K., Rahimi, E., Salon, D., Conway, M. W., Pendyala, R., & Derrible, S. (2022). The long-term effects of COVID-19 on travel behavior in the United States: A panel study on work from home, mode choice, online shopping, and air travel. Transportation Research Part F: Traffic Psychology and Behaviour, 90, 466–484. https://doi.org/10.1016/j.trf.2022.09.019
Pucher, J., & Lefèvre, C. (1996). The United States: The car-dependent society. In The urban transport crisis in Europe and North America (pp. 175-200). Palgrave Macmillan. https://doi.org/10.1057/9780230371835_10
Klein, N. J., & Smart, M. J. (2019). Life events, poverty, and car ownership in the United States: A mobility biography approach. Journal of Transport and Land Use, 12(1), 395–418. https://doi.org/10.5198/jtlu.2019.1482
Klein, N. J., & Smart, M. J. (2017). Car today, gone tomorrow: The ephemeral car in low-income, immigrant and minority families. Transportation, 44(3), 495-510. https://doi.org/10.1007/s11116-015-9664-4
Klein, N. J., Basu, R., & Smart, M. J. (2023). In the driver’s seat: Pathways to automobile ownership for lower-income households in the United States. Transportation Research Interdisciplinary Perspectives, 18, Article 100787. https://doi.org/10.1016/j.trip.2023.100787
Mannering, F., & Winston, C. (1985). A dynamic empirical analysis of household vehicle ownership and utilization. The RAND Journal of Economics, 16(2), 215–236.
McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109–127. https://doi.org/10.1111/j.2517-6161.1980.tb01109.x
Nolan, A. (2010). A dynamic analysis of household car ownership. Transportation Research Part A: Policy and Practice, 44(6), 446–455. https://doi.org/10.1016/j.tra.2010.03.018
Oakil, A. T., Manting, D., & Nijland, H. (2018). The role of individual characteristics in car ownership shortly after relationship dissolution. Transportation, 45(6), 1871–1882. https://doi.org/10.1007/s11116-018-9857-8
Prillwitz, J., Harms, S., & Lanzendorf, M. (2006). Impact of life-course events on car ownership. Transportation Research Record: Journal of the Transportation Research Board, 1985(1), 71–77. https://doi.org/10.1177/0361198106198500108
Social Research Center. (2023). Panel Study of Income Dynamics [Data set]. Institute for Social Research, University of Michigan.
Shamshiripour, A., Rahimi, E., Shabanpour, R., & Mohammadian, A.. (2020). How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago. Transportation Research Interdisciplinary Perspectives, 7, Article 100216. https://doi.org/10.1016/j.trip.2020.100216
Shelat, S., Cats, O., & van Cranenburgh, S. (2022). Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands. Transportation Research Part A: Policy and Practice, 159, 357-371. https://doi.org/10.1016/j.tra.2022.03.027
Thakuriah, P. (2023). Exploring car-ownership and declining carlessness in the United States during the COVID-19 pandemic. Findings. https://doi.org/10.32866/001c.72773
Thakuriah, P. (2024). Disentangling policy and structural effects on car-ownership for car-owning and carless US households during and after the COVID-19 pandemic. Transport Policy, 157, 20–33. https://doi.org/10.1016/j.tranpol.2024.06.008
Thigpen, C. (2019). Measurement validity of retrospective survey questions of bicycling use, attitude, and skill. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 453–461. https://doi.org/10.1016/j.trf.2018.11.002
Train, K. (1980). A structured logit model of auto ownership and mode choice. The Review of Economic Studies, 47(2), 357–370. https://doi.org/10.2307/2296997
Vega-Gonzalo, M., Christidis, P., & Gomez, J. (2023). Car ownership and post-COVID urban mobility across European cities. Transportation Research Procedia, 69, 305–312. https://doi.org/10.1016/j.trpro.2023.02.176
Yamamoto, T. (2008). The impact of life-course events on vehicle ownership dynamics: The cases of France and Japan. IATSS Research, 32(2), 34–43. https://doi.org/10.1016/S0386-1112(14)60207-7
Zhao, Y., & Kockelman, K. M. (2002). Household vehicle ownership by vehicle type: Application of a multivariate negative binomial model. Proceedings of the Transportation Research Board’s 81st Annual Meeting. http://caee.webhost.utexas.edu/prof/kockelman/public_html/TRB02VehOwn.pdf
Zheng, Y., Caros, N. S., Aloisi, J., & Zhao, J. (2023). Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19. Travel Behaviour and Society, 33, 100634. https://doi.org/10.1016/j.tbs.2023.100634
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