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Exponential or power distance-decay for commuting? An alternative specification

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  • Jacob J De Vries
  • Peter Nijkamp
  • Piet Rietveld

Abstract

In this paper we investigate the functional form of distance decay for commuting flows between municipalities in Denmark. Our inference is based on a single equation that includes variables to capture the effect of spatial structure. Special attention is given to a proper estimation method: we estimate the distance-decay parameters by nonlinear weighted least-squares with balancing factors. It appears that neither an exponential nor a power distance-decay function fits the data well. Using a spline regression we find a cost elasticity of -4 for distances around 20�km and a much smaller value for shorter and longer distances. It appears that the logarithm of distance decay can be described adequately as a (downward) logistic function of log cost.

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Bibliographic Info

Article provided by Pion Ltd, London in its journal Environment and Planning A.

Volume (Year): 41 (2009)
Issue (Month): 2 (February)
Pages: 461-480

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Handle: RePEc:pio:envira:v:41:y:2009:i:2:p:461-480

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  1. Johansson, Börje & Klaesson, Johan & Olsson, Michael, 2002. "On the non-linearity of the willingness to commute," ERSA conference papers ersa02p476, European Regional Science Association.
  2. 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.
  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. 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.
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Cited by:
  1. 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.
  2. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Network Structures in the German Commuting," Networks and Spatial Economics, Springer, Springer, vol. 11(4), pages 621-641, December.
  3. 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.
  4. 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.
  5. Katarzyna Kopczewska, 2011. "Roads as Channel of Centrifugal Policy Transfer. Spatial Interactions Model Revised," ERSA conference papers ersa11p720, European Regional Science Association.
  6. 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.
  7. 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.

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