Information Minimisation, Markov Transition, and Dynamic Modelling

M Nathanson
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M Nathanson: School of Urban Planning, McGill University, Montréal, Canada

Environment and Planning A, 1978, vol. 10, issue 8, 879-888

Abstract: The contrast between entropy measured in thermodynamics and information theory is discussed in terms of its implications for trip distribution and related urban-modelling procedures based on entropy maximisation or information minimisation. Models of spatial interaction using α = 2 entropy measures are shown to be improper because of the limited properties of these measures. A dynamic entropy-maximising Markovian framework for projecting trip and location distributions is suggested in conjunction with an earlier proposal of a ‘Bayes chain’ based on α = 1 information minimisation.

Date: 1978
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:10:y:1978:i:8:p:879-888

DOI: 10.1068/a100879

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