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Trip chaining - who wins, who loses?

  • André De Palma

    ()

  • Fay Dunkerley

    ()

  • Stef Proost

    ()

There has been a very large amount of research devoted to the study of activity patterns. The initial studies have been developed in geography (space and time description of human activity, as described by Torsten, Hägerstrand and Peter Hagget) and in economics (starting with the seminal work of Gary Becker). More recently, transportation scholars (see for example the studies of Chandra Bath or of Kay Axhausen) have started to develop sophisticated econometric models to describe the chain of activities during the whole day of individuals. One rationale for this research is the fact that users are increasingly sophisticated and can spend more and more time involved in other activities than the home to work trip. Thus, lengthy trips with many stops can be envisaged (with sometimes one of these stops being at the office). We propose here a new avenue of research covering the following questions: what are the impacts of the chain of activities on the decisions of the firm? The fact that users change their activity patterns does influence the locations of the firms (see for example the emergence of large shopping areas near railway stations or even inside railway stations and airports), as well as their pricing strategies. The questions are: Is the market more or less competitive? Are human activities more or less concentrated as users are more involved in trip chaining?

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Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa05p496.

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Date of creation: Aug 2005
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Handle: RePEc:wiw:wiwrsa:ersa05p496
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  1. Andre de Palma & Dunkerley Fay, 2006. "Trip Chaining: Who Wins Who Loses?," Energy, Transport and Environment Working Papers Series ete0605, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Energy, Transport and Environment.
  2. Andre de Palma & Stef Proost & Fay Dunkerley, 2004. "Imperfect Competition and Congestion in a City with asymmetric subcenters," Energy, Transport and Environment Working Papers Series ete0411, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Energy, Transport and Environment.
  3. Simon P. Anderson & André de Palma, 2000. "Product Diversity in Asymmetric Oligopoly: Is the Quality of Consumer Goods too Low?," Virginia Economics Online Papers 349, University of Virginia, Department of Economics.
  4. Raith, Michael, 1996. "Spatial retail markets with commuting consumers," International Journal of Industrial Organization, Elsevier, vol. 14(4), pages 447-463, June.
  5. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
  6. Bhat, Chandra R. & Singh, Sujit K., 2000. "A comprehensive daily activity-travel generation model system for workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 1-22, January.
  7. Recker, W. W. & Chen, C. & McNally, M. G., 2001. "Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 339-369, May.
  8. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
  9. Eaton, B Curtis & Lipsey, Richard G, 1982. "An Economic Theory of Central Places," Economic Journal, Royal Economic Society, vol. 92(365), pages 56-72, March.
  10. Daniel McFadden, 1977. "Modelling the Choice of Residential Location," Cowles Foundation Discussion Papers 477, Cowles Foundation for Research in Economics, Yale University.
  11. Arun Kuppam & Ram Pendyala, 2001. "A structural equations analysis of commuters' activity and travel patterns," Transportation, Springer, vol. 28(1), pages 33-54, February.
  12. Simon P. Anderson & Andre de Palma & Jacques-Francois Thisse, 1987. "Demand for Differentiated Products," Discussion Papers 726, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  13. David Hensher & April Reyes, 2000. "Trip chaining as a barrier to the propensity to use public transport," Transportation, Springer, vol. 27(4), pages 341-361, December.
  14. Claycombe, Richard J. & Mahan, Tamara E., 1993. "Spatial aspects of retail market structure beef pricing revisited," International Journal of Industrial Organization, Elsevier, vol. 11(2), pages 283-291, June.
  15. Golob, Thomas F., 2000. "A simultaneous model of household activity participation and trip chain generation," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 355-376, June.
  16. Bhat, Chandra R. & Frusti, Teresa & Zhao, Huimin & Schönfelder, Stefan & Axhausen, Kay W., 2004. "Intershopping duration: an analysis using multiweek data," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 39-60, January.
  17. J Rouwendal & P Rietveld, 1999. "Prices and opening hours in the retail sector: welfare effects of restrictions on opening hours," Environment and Planning A, Pion Ltd, London, vol. 31(11), pages 2003-2016, November.
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