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Trip chaining - who wins, who loses?

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Author Info
André De Palma ()
Fay Dunkerley ()
Stef Proost ()

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Abstract

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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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. 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. [Downloadable!] (restricted)
  2. 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. [Downloadable!] (restricted)
  3. 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. [Downloadable!] (restricted)
  4. André de Palma & Fay Dunkerley & Stef Proost, 2006. "Trip chaining: who wins who loses?," Center for Economic Studies - Discussion papers ces0607, Katholieke Universiteit Leuven, Centrum voor Economische Studiën. [Downloadable!]
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  5. 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. [Downloadable!] (restricted)
  6. Raith, Michael, 1996. "Spatial retail markets with commuting consumers," International Journal of Industrial Organization, Elsevier, vol. 14(4), pages 447-463, June. [Downloadable!] (restricted)
  7. 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. [Downloadable!] (restricted)
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  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. [Downloadable!] (restricted)
  12. 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. [Downloadable!] (restricted)
  13. 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. [Downloadable!] (restricted)
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  1. André De Palma & Fay Dunkerley & Stef Proost, 2008. "Trip chaining: Who wins who loses?," Working Papers hal-00348451_v1, HAL. [Downloadable!]
    Other versions:
  2. Dunkerley Fay & Andre de Palma & Proost Stef, 2005. "Asymmetric Duopoly in Space - what policies work?," Energy, Transport and Environment Working Papers Series ete0509, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Energy, Transport and Environment. [Downloadable!]
    Other versions:
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