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Gender gap in travel time and trip Purpose: Pre-, during and post Covid19 evidence

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  • Oyenubi, Adeola
  • Kollamparambil, Umakrishnan
  • Ncobo, Mandisa

Abstract

We investigate the gender gap in the travel time pre-, during and post-COVID19 pandemic in Gauteng, South Africa over the period 2015–2023. We use four rounds of the Gauteng City-Region Observatory Quality of Life (GCRO QoL) surveys. Results indicate that while women spend less time travelling compared to men across the study period, the gap has increased since the pandemic. Additionally, other socio-economic and demographic factors such as race, age, household size, dwelling type and car ownership also significantly affected travel times.

Suggested Citation

  • Oyenubi, Adeola & Kollamparambil, Umakrishnan & Ncobo, Mandisa, 2025. "Gender gap in travel time and trip Purpose: Pre-, during and post Covid19 evidence," Research in Transportation Economics, Elsevier, vol. 111(C).
  • Handle: RePEc:eee:retrec:v:111:y:2025:i:c:s0739885925000411
    DOI: 10.1016/j.retrec.2025.101558
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    References listed on IDEAS

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    1. Camila Balbontin & David A. Hensher & Matthew J. Beck, 2024. "Relationship between commuting and non-commuting travel activity under the growing incidence of working from home and people’s attitudes towards COVID-19," Transportation, Springer, vol. 51(6), pages 2225-2251, December.
    2. Awaworyi Churchill, Sefa & Munyanyi, Musharavati Ephraim & Prakash, Kushneel & Smyth, Russell, 2020. "Locus of control and the gender gap in mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 740-758.
    3. Beige, Sigrun & Axhausen, Kay W., 2017. "The dynamics of commuting over the life course: Swiss experiences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 179-194.
    4. Crane, Randall, 2007. "Is There a Quiet Revolution in Women's Travel? Revisiting the Gender Gap in Commuting," University of California Transportation Center, Working Papers qt8nj9n8nb, University of California Transportation Center.
    5. Pan, Jay & Liu, Dan & Ali, Shehzad, 2015. "Patient dissatisfaction in China: What matters," Social Science & Medicine, Elsevier, vol. 143(C), pages 145-153.
    6. Catherine Sundling & Mats E. Nilsson & Sara Hellqvist & Leslie R. Pendrill & Ragne Emardson & Birgitta Berglund, 2016. "Travel behaviour change in old age: the role of critical incidents in public transport," European Journal of Ageing, Springer, vol. 13(1), pages 75-83, March.
    7. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    8. Andrew Kerr, 2017. "Tax(i)ing the Poor? Commuting Costs in South African Cities," South African Journal of Economics, Economic Society of South Africa, vol. 85(3), pages 321-340, September.
    9. Havet, Nathalie & Bayart, Caroline & Bonnel, Patrick, 2021. "Why do Gender Differences in Daily Mobility Behaviours persist among workers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 34-48.
    10. Gheyath Chalabi & Hussein Dia, 2024. "Telecommuting and Travel Behaviour: A Survey of White-Collar Employees in Adelaide, Australia," Sustainability, MDPI, vol. 16(7), pages 1-28, March.
    11. Daniela Casale & Debra Shepherd, 2022. "The gendered effects of the Covid-19 crisis in South Africa: Evidence from NIDS-CRAM waves 1–5," Development Southern Africa, Taylor & Francis Journals, vol. 39(5), pages 644-663, September.
    12. Simon Franklin, 2018. "Location, Search Costs and Youth Unemployment: Experimental Evidence from Transport Subsidies," Economic Journal, Royal Economic Society, vol. 128(614), pages 2353-2379, September.
    13. Boarnet, Marlon G. & Hsu, Hsin-Ping, 2015. "The gender gap in non-work travel: The relative roles of income earning potential and land use," Journal of Urban Economics, Elsevier, vol. 86(C), pages 111-127.
    14. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    15. Cally Ardington & Till Bärnighausen & Anne Case & Alicia Menendez, 2016. "Social Protection and Labor Market Outcomes of Youth in South Africa," ILR Review, Cornell University, ILR School, vol. 69(2), pages 455-470, March.
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    Keywords

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    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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