Spatial choice modelling with mutually dependent alternatives : logit distributed stochastic utility functions

Grigg, T. J. (Trevor James) Spatial choice modelling with mutually dependent alternatives : logit distributed stochastic utility functions. St. Lucia: University of Queensland, Department of Civil Engineering, 1982.

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Author Grigg, T. J. (Trevor James)
Title Spatial choice modelling with mutually dependent alternatives : logit distributed stochastic utility functions
Place of Publication St. Lucia
Publisher University of Queensland, Department of Civil Engineering
Publication year 1982
Sub-type Other
Open Access Status File (Publisher version)
Series Research report (University of Queensland. Dept. of Civil Engineering) ; no.CE 35
Language eng
Total number of pages 15
Subjects 290800 Civil Engineering
Formatted Abstract/Summary

Synopsis

A common approach to modelling spatial choice is to apply the theory of constrained utility maximising behaviour by individual choice makers within a probabilistic framework.   Decision making is assumed to be deterministic but utilities stochastic in the random utility version of the approach.   For operational models, parametric distributions have to be specified for the stochastic component of the utility functions.   It is commonly assumed in deriving spatial choice models that each of the choice alternatives are perceived by individuals as unique, independent opportunities. This paper considers the case where aggregations of choice alternatives are perceived similarly.   The logit distribution (as an approximation to the Gauss (normal) distribution) is chosen as the parametric stochastic utility distribution. The choice model is derived and its properties and potential application discussed.

Keyword Choice (Psychology) -- Mathematical models
Stochastic processes
Utility theory
Q-Index Code AX
Q-Index Status Provisional Code
Institutional Status UQ

 
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