IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v16y1984i10p1289-1301.html
   My bibliography  Save this article

A Generalized Procedure for Comparing Models of Spatial Choice

Author

Listed:
  • W C Halperin
  • G D Richardson
  • N Gale
  • C M Costanzo

Abstract

A major concern of geographers has been the explanation and prediction of spatial choice behavior. Several discrete choice models have been developed which attempt to account for the use of different transport routes, modes, shopping centers, and so on. One of the fundamental issues associated with these models is the problem of model specification; furthermore, each type of model can potentially give disparate results for the same spatial choice situation. In this paper the models and their characteristics are summarized, and a generalized method for comparing the results yielded by alternative model specifications, or results obtained from different model formulations, are presented. The procedure is an application of recent developments in heuristic methods for comparing related matrices.

Suggested Citation

  • W C Halperin & G D Richardson & N Gale & C M Costanzo, 1984. "A Generalized Procedure for Comparing Models of Spatial Choice," Environment and Planning A, , vol. 16(10), pages 1289-1301, October.
    • Handle: RePEc:sae:envira:v:16:y:1984:i:10:p:1289-1301
    DOI: 10.1068/a161289
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a161289
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a161289?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Carlos F. Daganzo & Fernando Bouthelier & Yosef Sheffi, 1977. "Multinomial Probit and Qualitative Choice: A Computationally Efficient Algorithm," Transportation Science, INFORMS, vol. 11(4), pages 338-358, November.
    2. Hausman, Jerry A & Wise, David A, 1978. "A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
    3. Sheffi, Yosef, 1979. "Estimating choice probabilities among nested alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 13(3), pages 189-205, September.
    4. P S McCarthy, 1980. "A Study of the Importance of Generalized Attributes in Shopping Choice Behaviour," Environment and Planning A, , vol. 12(11), pages 1269-1286, November.
    5. Horowitz, Joel, 1980. "The accuracy of the multinomial logit model as an approximation to the multinomial probit model of travel demand," Transportation Research Part B: Methodological, Elsevier, vol. 14(4), pages 331-341, December.
    6. Joel Horowitz, 1981. "Testing the Multinomial Logit Model against the Multinomial Probit Model without Estimating the Probit Parameters," Transportation Science, INFORMS, vol. 15(2), pages 153-163, May.
    7. Hensher, David A., 1981. "A practical concern about the relevance of alternative-specific constants for new alternatives in simple logit models," Transportation Research Part B: Methodological, Elsevier, vol. 15(6), pages 407-410, December.
    8. Timothy J. Tardiff, 1979. "Specification Analysis for Quantal Choice Models," Transportation Science, INFORMS, vol. 13(3), pages 179-190, August.
    9. Carlos F. Daganzo & Yosef Sheffi, 1977. "On Stochastic Models of Traffic Assignment," Transportation Science, INFORMS, vol. 11(3), pages 253-274, August.
    10. Horowitz, Joel, 1981. "Identification and diagnosis of specification errors in the multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 15(5), pages 345-360, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fischer, Manfred M. & Nijkamp, Peter, 1987. "From static towards dynamic discrete choice modelling : A State of the Art Review," Regional Science and Urban Economics, Elsevier, vol. 17(1), pages 3-27, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fischer, M.M. & Nijkamp, P., 1985. "Explanatory discrete spatial data and choice analysis : a state-of-the-art review," Serie Research Memoranda 0006, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Kenneth Train, "undated". "Simulation Methods for Probit and Related Models Based on Convenient Error Partitioning," Working Papers _009, University of California at Berkeley, Econometrics Laboratory Software Archive.
    3. Bunch, David S. & Kitamura, Ryuichi, 1991. "Probit Model Estimation Revisited: Trinomial Models of Household Car Ownership," University of California Transportation Center, Working Papers qt2hr8d4bs, University of California Transportation Center.
    4. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    5. Vassilis A. Hajivassiliou, 1991. "Simulation Estimation Methods for Limited Dependent Variable Models," Cowles Foundation Discussion Papers 1007, Cowles Foundation for Research in Economics, Yale University.
    6. Mokhtarian, Patricia L., 2016. "Presenting the Independence of Irrelevant Alternatives property in a first course on logit modeling," Journal of choice modelling, Elsevier, vol. 21(C), pages 25-29.
    7. Langche Zeng, 2000. "A Heteroscedastic Generalized Extreme Value Discrete Choice Model," Sociological Methods & Research, , vol. 29(1), pages 118-144, August.
    8. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.
    9. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    10. Ichimura, Hidehiko & Thompson, T. Scott, 1998. "Maximum likelihood estimation of a binary choice model with random coefficients of unknown distribution," Journal of Econometrics, Elsevier, vol. 86(2), pages 269-295, June.
    11. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    12. Wei, Chong & Asakura, Yasuo & Iryo, Takamasa, 2014. "Formulating the within-day dynamic stochastic traffic assignment problem from a Bayesian perspective," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 45-57.
    13. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    14. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    15. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    16. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    17. Ahipaşaoğlu, Selin Damla & Meskarian, Rudabeh & Magnanti, Thomas L. & Natarajan, Karthik, 2015. "Beyond normality: A cross moment-stochastic user equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 333-354.
    18. Bingley Paul & Walker Ian & Zhu Yu, 2005. "Education, Work and Wages in the UK," German Economic Review, De Gruyter, vol. 6(3), pages 395-414, August.
    19. Theodore Tsekeris & Klimis Vogiatzoglou, 2011. "Spatial agent-based modeling of household and firm location with endogenous transport costs," Netnomics, Springer, vol. 12(2), pages 77-98, July.
    20. Dario Pozzoli & Marco Ranzani, 2010. "Participation and sector selection in Nicaragua," Journal of International Development, John Wiley & Sons, Ltd., vol. 22(5), pages 591-610.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:16:y:1984:i:10:p:1289-1301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.