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Modelling the spatial interactions between workplace and residential location

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  • Ibeas, Ángel
  • Cordera, Ruben
  • dell’Olio, Luigi
  • Coppola, Pierluigi

Abstract

The use of Multinomial Logit (MNL) models specification for the simulation of residential location have been often criticised due to the Independence of Irrelevant Alternatives hypothesis (IIA) which does not allow for the existence of spatial correlation between residential zones. Moreover, it is not clear when and to what extent the influence of the workplace zone and accessibility to employment affect the residential location choices made by households; in other word, whether the residing choice is conditional to the workplace, or vice versa; or if such choices (residence and work place) are joint.

Suggested Citation

  • Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi, 2013. "Modelling the spatial interactions between workplace and residential location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 110-122.
  • Handle: RePEc:eee:transa:v:49:y:2013:i:c:p:110-122
    DOI: 10.1016/j.tra.2013.01.008
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    1. Small, Kenneth A, 1987. "A Discrete Choice Model for Ordered Alternatives," Econometrica, Econometric Society, vol. 55(2), pages 409-424, March.
    2. Fujita,Masahisa, 1991. "Urban Economic Theory," Cambridge Books, Cambridge University Press, number 9780521396455.
    3. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.
    4. Michel Bierlaire, 2006. "A theoretical analysis of the cross-nested logit model," Annals of Operations Research, Springer, vol. 144(1), pages 287-300, April.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    6. Wen, Chieh-Hua & Koppelman, Frank S., 2001. "The generalized nested logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 627-641, August.
    7. Glaeser, Edward L., 2008. "Cities, Agglomeration, and Spatial Equilibrium," OUP Catalogue, Oxford University Press, number 9780199290444.
    8. Kingsley E. Haynes & Stewart Fotheringham, 1990. "The Impact of Space on the Application Of Discrete Choice Models," The Review of Regional Studies, Southern Regional Science Association, vol. 20(2), pages 39-49, Spring.
    9. Francesca Pagliara & Alan Wilson, 2010. "The State-of-the-Art in Building Residential Location Models," Advances in Spatial Science, in: Francesca Pagliara & John Preston & David Simmonds (ed.), Residential Location Choice, pages 1-20, Springer.
    10. Brian Lee & Paul Waddell, 2010. "Residential mobility and location choice: a nested logit model with sampling of alternatives," Transportation, Springer, vol. 37(4), pages 587-601, July.
    11. Coppola, Pierluigi & Nuzzolo, Agostino, 2011. "Changing accessibility, dwelling price and the spatial distribution of socio-economic activities," Research in Transportation Economics, Elsevier, vol. 31(1), pages 63-71.
    12. Abdul Pinjari & Ram Pendyala & Chandra Bhat & Paul Waddell, 2011. "Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions," Transportation, Springer, vol. 38(6), pages 933-958, November.
    13. Daniel McFadden, 1977. "Modelling the Choice of Residential Location," Cowles Foundation Discussion Papers 477, Cowles Foundation for Research in Economics, Yale University.
    14. John M. Quigley, 1976. "Housing Demand in the Short Run: An Analysis of Polytomous Choice," NBER Chapters, in: Explorations in Economic Research, Volume 3, number 1, pages 76-102, National Bureau of Economic Research, Inc.
    15. Sener, Ipek N. & Pendyala, Ram M. & Bhat, Chandra R., 2011. "Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior," Journal of Transport Geography, Elsevier, vol. 19(2), pages 294-303.
    16. 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.
    17. Paul Waddell, 2010. "Modeling Residential Location in UrbanSim," Advances in Spatial Science, in: Francesca Pagliara & John Preston & David Simmonds (ed.), Residential Location Choice, pages 165-180, Springer.
    18. S L Handy & D A Niemeier, 1997. "Measuring Accessibility: An Exploration of Issues and Alternatives," Environment and Planning A, , vol. 29(7), pages 1175-1194, July.
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