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The Optimal Choice of Commuting Speed: Consequences for Commuting Time, Distance and Costs

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  • Jos Van Ommeren
  • Joyce Dargay

Abstract

In this paper, we derive a structural model for commuting speed. We presume that commuting speed is chosen to minimise commuting costs, which encompass both monetary and time costs. At faster speed levels, the monetary costs increase, but the time costs fall. Using data from Great Britain, we demonstrate that the income elasticity of commuting speed is approximately 0.13. The ratio of variable monetary costs to travel time costs is estimated to be about 0.14. An implication of this is that as incomes rise commuters choose faster modes, despite their higher monetary costs. This has been an important factor in the growth of commuting by car in the past decades (for example, during the 90s the percentage of work trips made by car in Britain increased from 65 per cent to 70 per cent) and is anticipated to be relevant in the next decades for developing countries such as China and India. With increasing congestion, the time-advantage of car travel will decline, but unless faster public transport modes are available, there will be little incentive to switch to public transport (unless the monetary costs decline substantially in relation to car travel). © 2006 LSE and the University of Bath

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  • Jos Van Ommeren & Joyce Dargay, 2006. "The Optimal Choice of Commuting Speed: Consequences for Commuting Time, Distance and Costs," Journal of Transport Economics and Policy, University of Bath, vol. 40(2), pages 279-296, May.
  • Handle: RePEc:tpe:jtecpo:v:40:y:2006:i:2:p:279-296
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    Cited by:

    1. van Ommeren, Jos N. & van der Straaten, J. Willemijn, 2008. "The effect of search imperfections on commuting behaviour: Evidence from employed and self-employed workers," Regional Science and Urban Economics, Elsevier, vol. 38(2), pages 127-147, March.
    2. Steven Bond-Smith & Philip McCann, 2022. "The work-from-home revolution and the performance of cities," Working Papers 2022-6, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    3. Albert Saiz & Luyao Wang, 2023. "Physical geography and traffic delays: Evidence from a major coastal city," Environment and Planning B, , vol. 50(1), pages 218-243, September.
    4. Muhammad Sabir & Jos Ommeren & Mark Koetse & Piet Rietveld, 2011. "Adverse Weather and Commuting Speed," Networks and Spatial Economics, Springer, vol. 11(4), pages 701-712, December.
    5. Petříček Jakub & Komárek Marek & Marada Miroslav & Randák Jakub, 2022. "Planned construction of HSR in Czechia and occasional long-distance work commuting: impact of passenger income," Review of Economic Perspectives, Sciendo, vol. 22(4), pages 279-291, December.
    6. Anna-Theresa Renner & Dieter Pennerstorfer, 2020. "Modeling inter-regional patient mobility: Does distance go far enough?," Economics working papers 2020-04, Department of Economics, Johannes Kepler University Linz, Austria.
    7. Muhammad Sabir & Jos van Ommeren & Mark Koetse & Piet Rietveld, 2008. "Welfare Effects of Adverse Weather through Speed Changes in Car Commuting Trips," Tinbergen Institute Discussion Papers 08-087/3, Tinbergen Institute.
    8. Larsen, Morten Marott & Pilegaard, Ninette & Ommeren, Jos Van, 2008. "Congestion and residential moving behaviour," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 378-387, July.
    9. Jacob, Nikita & Munford, Luke & Rice, Nigel & Roberts, Jennifer, 2019. "The disutility of commuting? The effect of gender and local labor markets," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 264-275.
    10. DiBartolomeo, Jeffrey A., 2020. "Commuting speed as a proxy for the value of time," Economics Letters, Elsevier, vol. 193(C).
    11. Motte, Benjamin & Aguilera, Anne & Bonin, Olivier & Nassi, Carlos D., 2016. "Commuting patterns in the metropolitan region of Rio de Janeiro. What differences between formal and informal jobs?," Journal of Transport Geography, Elsevier, vol. 51(C), pages 59-69.
    12. McQuaid, Ronald W., 2009. "A model of the travel to work limits of parents," Research in Transportation Economics, Elsevier, vol. 25(1), pages 19-28.
    13. Borghorst, Malte & Mulalic, Ismir & van Ommeren, Jos, 2021. "Commuting, Children and the Gender Wage Gap," Working Papers 15-2021, Copenhagen Business School, Department of Economics.
    14. Grazi, Fabio & van den Bergh, Jeroen C.J.M., 2008. "Spatial organization, transport, and climate change: Comparing instruments of spatial planning and policy," Ecological Economics, Elsevier, vol. 67(4), pages 630-639, November.
    15. Eva Gutiérrez-i-Puigarnau & Jos N van Ommeren, 2015. "Commuting and labour supply revisited," Urban Studies, Urban Studies Journal Limited, vol. 52(14), pages 2551-2563, November.
    16. Michael Irlacher & Dieter Pennerstorfer & Anna‐Theresa Renner & Florian Unger, 2023. "Modeling Interregional Patient Mobility: Theory And Evidence From Spatially Explicit Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1493-1532, November.
    17. Muhammad Sabir & Mark Koetse & Jos Van Ommeren & Piet Rietveld, 2010. "Weather and Travel Time of Public Transport Trips," Tinbergen Institute Discussion Papers 10-029/3, Tinbergen Institute.
    18. Tscharaktschiew, Stefan, 2020. "Why are highway speed limits really justified? An equilibrium speed choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 317-351.
    19. Brad Hartman & Harvey Cutler & Martin Shields & Dave Turner, 2021. "The economic effects of improved precipitation forecasts in the United States due to better commuting decisions," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2149-2171, December.
    20. Yinger, John, 2021. "The price of access to jobs: Bid-function envelopes for commuting costs✰," Journal of Housing Economics, Elsevier, vol. 51(C).
    21. Klingen, Joris & van Ommeren, Jos, 2020. "Urban air pollution and time losses: Evidence from cyclists in London," Regional Science and Urban Economics, Elsevier, vol. 81(C).

    More about this item

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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