Spatial Choice Modelling with Mutually Dependent Alternatives: Logit Distributed Stochastic Utility Functions

摘要

A common approach to modelling spatial choice is to apply the theory of constrained utility maximising behavior by individual choice makers within a probabilistic framework. 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.