Residential location choice modelling : gaussian distributed stochastic utility functions

Grigg, T. J. (Trevor James) Residential location choice modelling : gaussian distributed stochastic utility functions. St. Lucia, Qld.: Department of Civil Engineering, University of Queensland, 1982.

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Author Grigg, T. J. (Trevor James)
Title Residential location choice modelling : gaussian distributed stochastic utility functions
Place of Publication St. Lucia, Qld.
Publisher Department of Civil Engineering, University of Queensland
Publication year 1982
Sub-type Other
Series Research report (University of Queensland. Dept. of Civil Engineering) ; no.CE 33
Language eng
Total number of pages 21
Subjects 290800 Civil Engineering
Formatted Abstract/Summary

Synopsis

Modelling urban residential location choice using the theory of constrained utility maximising behaviour by individual locators requires a probabilistic approach.   One such approach using random utility theory assumes utilities are stochastic but that decision making is deterministic.   This approach can only be made operational by adopting explicit distributional forme for the stochastic utility functions. The extreme value type I (Gumbel) distribution is almost universally adopted, principally for mathematical convenience rather than for any particular conceptual reasons.   This paper examinee the derivation of a choice model based on Gaussian distributed stochastic utility functions. Expressions for locator's realised utility are also developed. The presentation is confined to the case of mutually independent alternatives.  Although the paper specifically addressee urban residential location choice, the results are equally applicable in the context of retail shopping models or trip distribution models. 

Keyword Homesites -- Mathematical models
Gaussian processes
Utility theory
Q-Index Code AX
Q-Index Status Provisional Code
Institutional Status UQ

 
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