Hierarchical Elimination and Regionalization in Spatial Choice

P B Slater
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P B Slater: Community and Organization Research Institute, University of California, Santa Barbara, California 93106, USA

Environment and Planning A, 1982, vol. 14, issue 1, 127-130

Abstract: Spatial choice models have been criticized for their restrictive assumptions. In particular, the independence or constant-ratio axiom of Luce has been questioned because of its failure to account for the effects of similarity between alternatives. Tversky's elimination by aspects model provides a natural explanation of similarity effects, but cannot be estimated from binary probabilities. The elimination by tree or, equivalently, hierarchical elimination model is less restrictive than the constant-ratio model and more parsimonious than elimination by aspects. To estimate this model in a spatial interaction context, a hierarchical regionalization based upon interareal flow data is first obtained. The lengths of the links in the resultant tree structure are reestimated on the basis of choice probability ratios.

Date: 1982
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:14:y:1982:i:1:p:127-130

DOI: 10.1068/a140127

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