Titlebook: Optimization and Discrete Choice in Urban Systems; Proceedings of the I Bruce G. Hutchinson,Peter Nijkamp,Michael Batty Conference proceedi

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Categorical Data and Choice Analysis in a Spatial Contextst 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-base

Cerumen

A Combined Linear/Non-Linear Programming Model of Employment, Transportation, and Housing in an Urbarequisite to the existence of cities, and serves as a tool for town planning. The model is organized as a linear program when population distributions are known and as a non-linear program when these distributions are to be predicted. Relationships to existing macro-economic models such as Mills1 (1

MIRE

An Optimum Economic/Energy Land-Use Transportation Modelt, and demolition of existing activity. The model takes the form of a largescale linear programming problem with a sparse structure. The problem may be solved efficiently by decomposing it into sub-problems using Benders (1962) technique. The model is extended to include gravity type trip distributi

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Information Flows and Decision-Making in Urban Modelsdecisions by other interacting groups, particularly those with faster speeds of adjustment. When modelling the actions of such groups, information theory may be used, with constraints related to observed behaviour of each group, including measures of variability describing the behaviour of faster ad

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