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Teleworking and Congestion: A Dynamic Bottleneck Analysis

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  • Sergejs Gubins

    (VU University Amsterdam)

  • Erik T. Verhoef

    (VU University Amsterdam)

Abstract

We analyze the welfare effects of part-day teleworking on road traffic congestion in the context of Vickrey's dynamic bottleneck model. Endogenous decisions to become equipped with a teleworking-enabling technology change the scheduling of arrival times at work for equipped drivers and, due to congestion externalities, affects travel costs of all drivers. We show that even costless teleworking might be marginally welfare reducing, after reaching the optimal penetration level, as an equipped driver imposes a higher travel externality on other equipped drivers than unequipped drivers do. We study various possible market configurations for the supply of the technology, and find that private monopolistic supply of the technology might yield a higher social welfare than perfectly competitive supply.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 11-096/3.

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Date of creation: 18 Jul 2011
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Handle: RePEc:dgr:uvatin:20110096

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Web page: http://www.tinbergen.nl

Related research

Keywords: traffic congestion; teleworking; bottleneck model;

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  1. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1996. "Information and Usage of Free-Access Congestible Facilities with Stochastic Capacity and Demand," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(1), pages 181-203, February.
  2. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-79, March.
  3. Safirova, Elena, 2002. "Telecommuting, traffic congestion, and agglomeration: a general equilibrium model," Journal of Urban Economics, Elsevier, vol. 52(1), pages 26-52, July.
  4. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-60, May.
  5. Rhee, Hyok-Joo, 2008. "Home-based telecommuting and commuting behavior," Journal of Urban Economics, Elsevier, vol. 63(1), pages 198-216, January.
  6. Yin-yen Tseng & Erik Verhoef, 2007. "Value of Time by Time of Day: A Stated-Preference Study," Tinbergen Institute Discussion Papers 07-061/3, Tinbergen Institute, revised 08 Nov 2007.
  7. Robin Lindsey & Andre de Palma, 1998. "Information and Usage of Congestible Facilities Under Different Pricing Regimes," Canadian Journal of Economics, Canadian Economics Association, vol. 31(3), pages 666-692, August.
  8. Emmerink, Richard H M, et al, 1998. "Information Effects in Transport with Stochastic Capacity and Uncertainty Costs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(1), pages 89-110, February.
  9. Emmerink, Richard H. M. & Verhoef, Erik T. & Nijkamp, Peter & Rietveld, Piet, 1998. "Information policy in road transport with elastic demand: Some welfare economic considerations," European Economic Review, Elsevier, vol. 42(1), pages 71-95, January.
  10. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-79, June.
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Cited by:
  1. Gubins, Sergejs & Verhoef, Erik T., 2014. "Dynamic bottleneck congestion and residential land use in the monocentric city," Journal of Urban Economics, Elsevier, vol. 80(C), pages 51-61.

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