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Modelling hierarchical destination choice

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  • A S Fotheringham

Abstract

The production-constrained gravity formulation is shown to be an especially inaccurate specification of reality whenever the selection of destinations by individuals results from a hierarchical choice process. Hierarchical decisionmaking violates the Independence from Irrelevant Alternatives property embedded in the theoretical derivation of the production-constrained gravity model from choice axioms. Various aspects of gravity model misspecification resulting from hierarchical destination choice are investigated and an empirical example is given in terms of US migrants. A discussion is presented of several destination choice models that are more accurately specified than the gravity formulation when destination choice is hierarchical. The recently derived competing destinations formulation is shown to be amongst the most useful in this respect. The discussion is framed in the context of discrete choice theory.

Suggested Citation

  • A S Fotheringham, 1986. "Modelling hierarchical destination choice," Environment and Planning A, Pion Ltd, London, vol. 18(3), pages 401-418, March.
  • Handle: RePEc:pio:envira:v:18:y:1986:i:3:p:401-418
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    Cited by:

    1. Marius Thériault & François Des Rosiers and Jean Dubé, 2007. "Testing the Temporal Stability of Accessibility Value in Residential Hedonic Prices," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2007(3), pages 5-46.
    2. De Valck, Jeremy & Broekx, Steven & Liekens, Inge & Aertsens, Joris & Vranken, Liesbet, 2014. "Testing the influence of substitutes in nature valuation by using spatial discounting factors," Working Papers 182808, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    3. Jeffrey Newman & Vincent Bernardin, 2010. "Hierarchical ordering of nests in a joint mode and destination choice model," Transportation, Springer, vol. 37(4), pages 677-688, July.
    4. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
    5. Yongwan Chun, 2008. "Modeling network autocorrelation within migration flows by eigenvector spatial filtering," Journal of Geographical Systems, Springer, vol. 10(4), pages 317-344, December.
    6. Gitlesen, Jens Petter & Kleppe, Gisle & Thorsen, Inge & Ubøe, Jan, 2006. "An empirically based implementation and evaluation of a network model for commuting flows," Discussion Papers 2006/4, Norwegian School of Economics, Department of Business and Management Science.
    7. Danalet, Antonin & Tinguely, Loïc & Lapparent, Matthieu de & Bierlaire, Michel, 2016. "Location choice with longitudinal WiFi data," Journal of choice modelling, Elsevier, vol. 18(C), pages 1-17.
    8. John R. Roy, 1998. "Areas, nodes and networks: Some analytical considerations," ERSA conference papers ersa98p94, European Regional Science Association.
    9. repec:elg:eechap:14395_20 is not listed on IDEAS
    10. Kim, Chansung, 2008. "Commuting time stability: A test of a co-location hypothesis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 524-544, March.
    11. repec:gam:jsusta:v:10:y:2018:i:3:p:654-:d:134065 is not listed on IDEAS
    12. John Stillwell, 2005. "Inter-regional migration modelling - a review and assessment," ERSA conference papers ersa05p770, European Regional Science Association.

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