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Categorical Data and Choice Analysis in a Spatial Context

  • Conference paper
Optimization and Discrete Choice in Urban Systems

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 247))

Abstract

This paper provides a comprehensive review of the techniques available for categorical data and discrete choice analysis in a spatial context. The first half of the paper reviews the class of models known as generalized linear models including log-linear models, linear logit regression models and latent class models. The second half of the paper focusses on techniques that may be used for categorical spatial choice analysis including utility-based models, multiattribute preference models and heuristic choice techniques.

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Authors and Affiliations

  1. Department of Geography, University of Vienna, Vienna, Austria

    Manfred M. Fischer

  2. Department of Economics, Free University, Amsterdam, The Netherlands

    Peter Nijkamp

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  1. Manfred M. Fischer
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  2. Peter Nijkamp
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Editors and Affiliations

  1. Department of Civil Engineering, University of Waterloo, Waterloo, Ontario, Canada

    Bruce G. Hutchinson

  2. Department of Economics, Free University, Amsterdam, The Netherlands

    Peter Nijkamp

  3. Department of Town Planning, Institute of Science and Technology, University of Wales, Cardiff, Wales, UK

    Michael Batty

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Fischer, M.M., Nijkamp, P. (1985). Categorical Data and Choice Analysis in a Spatial Context. In: Hutchinson, B.G., Nijkamp, P., Batty, M. (eds) Optimization and Discrete Choice in Urban Systems. Lecture Notes in Economics and Mathematical Systems, vol 247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51020-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-51020-5_1

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