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Exponential or Power Distance-decay for Commuting? An Alternative Specification

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Author Info

  • Jacob J. de Vries

    ()
    (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)

  • Peter Nijkamp

    ()
    (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)

  • Piet Rietveld

    ()
    (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)

Abstract

In this paper we determine the effect of transport cost on commuting flows, on the basis of an analysis of home-to-work journeys between municipalities in Denmark. Special attention is given to a proper estimation method and the form of the distance-decay function. It appears that neither an exponential nor a power distance-decay function fits the data well. The specification of log trips as a (downwards) logistic function of log cost results in a better fit. We find that the cost elasticity of commuting reaches a value of –4 for distances around 24 km, while it is close to 0 for both very short and very long distances. Finally, we demonstrate that the choice of functional form for distance-decay can make an important difference for predictions concerning the effect of infrastructure improvements on commuting flows.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 04-097/3.

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Date of creation: 01 Sep 2004
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Handle: RePEc:dgr:uvatin:20040097

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

Related research

Keywords: Spatial Interaction; Distance-decay Function; Commuting; Denmark; Estimation; Heteroscedasticity;

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  1. A G Wilson, 1971. "A family of spatial interaction models, and associated developments," Environment and Planning A, Pion Ltd, London, vol. 3(1), pages 1-32, January.
  2. Poot, Jacques, 1986. "A System Approach to Modelling the Inter-urban Exchange of Workers in New Zealand," Scottish Journal of Political Economy, Scottish Economic Society, vol. 33(3), pages 249-74, August.
  3. F J Cesario, 1974. "The interpretation and calculation of gravity model zone-to-zone adjustment factors," Environment and Planning A, Pion Ltd, London, vol. 6(3), pages 247-257, March.
  4. Chang-i Hua, 1980. "An exploration of the nature and rationale of a systemic model," Environment and Planning A, Pion Ltd, London, vol. 12(6), pages 713-726, June.
  5. Johansson, Börje & Klaesson, Johan & Olsson, Michael, 2002. "On the non-linearity of the willingness to commute," ERSA conference papers ersa02p476, European Regional Science Association.
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Cited by:
  1. Floriana Gargiulo & Maxime Lenormand & Sylvie Huet & Omar Baqueiro Espinosa, 2012. "Commuting Network Models: Getting the Essentials," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 6.
  2. Matthias Duschl & Antje Schimke & Thomas Brenner & Dennis Luxen, 2011. "Firm Growth and the Spatial Impact of Geolocated External Factors – Empirical Evidence for German Manufacturing Firms," Working Papers on Innovation and Space 2011-03, Philipps University Marburg, Department of Geography.
  3. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Network Structures in the German Commuting," Networks and Spatial Economics, Springer, vol. 11(4), pages 621-641, December.
  4. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Business Engineering.
  5. Katarzyna Kopczewska, 2011. "Roads as Channel of Centrifugal Policy Transfer. Spatial Interactions Model Revised," ERSA conference papers ersa11p720, European Regional Science Association.
  6. Matthias Duschl & Tobias Scholl & Thomas Brenner & Dennis Luxen & Falk Raschke, 2012. "Industry-specific firm growth and aggolmeration," Working Papers on Innovation and Space 2012-06, Philipps University Marburg, Department of Geography.
  7. Tobias Scholl & Thomas Brenner, 2013. "Detecting Spatial Clustering Using a Firm-Level Index," Working Papers on Innovation and Space 2012-02, Philipps University Marburg, Department of Geography.

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