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A mixed spatially correlated logit model: formulation and application to residential choice modeling

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  • Bhat, Chandra R.
  • Guo, Jessica
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    Abstract

    In recent years, there have been important developments in the simulation analysis of the mixed multinomial logit model as well as in the formulation of increasingly flexible closed-form models belonging to the generalized extreme value class. In this paper, we bring these developments together to propose a mixed spatially correlated logit (MSCL) model for location-related choices. The MSCL model represents a powerful approach to capture both random taste variations as well as spatial correlation in location choice analysis. The MSCL model is applied to an analysis of residential location choice using data drawn from the 1996 Dallas-Fort Worth household survey. The empirical results underscore the need to capture unobserved taste variations and spatial correlation, both for improved data fit and the realistic assessment of the effect of sociodemographic, transportation system, and land-use changes on residential location choice.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

    Volume (Year): 38 (2004)
    Issue (Month): 2 (February)
    Pages: 147-168

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    Handle: RePEc:eee:transb:v:38:y:2004:i:2:p:147-168

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    1. Koppelman, Frank S. & Wen, Chieh-Hua, 2000. "The paired combinatorial logit model: properties, estimation and application," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 34(2), pages 75-89, February.
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    5. Swait, Joffre, 2001. "Choice set generation within the generalized extreme value family of discrete choice models," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 35(7), pages 643-666, August.
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    7. Bhat, Chandra R., 1998. "Analysis of travel mode and departure time choice for urban shopping trips," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 32(6), pages 361-371, August.
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    9. H Timmermans & A Borgers & J van Dijk & H Oppewal, 1992. "Residential choice behaviour of dual earner households: a decompositional joint choice model," Environment and Planning A, Pion Ltd, London, vol. 24(4), pages 517-533, April.
    10. Small, Kenneth A, 1987. "A Discrete Choice Model for Ordered Alternatives," Econometrica, Econometric Society, Econometric Society, vol. 55(2), pages 409-24, March.
    11. Garrido, Rodrigo A. & Mahmassani, Hani S., 2000. "Forecasting freight transportation demand with the space-time multinomial probit model," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 34(5), pages 403-418, June.
    12. Wen, Chieh-Hua & Koppelman, Frank S., 2001. "The generalized nested logit model," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 35(7), pages 627-641, August.
    13. Quigley, John M., 1985. "Consumer choice of dwelling, neighborhood and public services," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 41-63, February.
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