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A Geographic Automata Model of Residential Mobility

Author

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  • Paul M Torrens

    (Department of Geography, Arizona State University, Tempe, AZ 85287-0104, USA)

Abstract

In this paper is described a model of residential mobility, built to simulate individual households, their perception of and reaction to varying conditions across different scales of interaction, and their movements to occupy housing in a physical, social, and economic environment. The methodology underpinning the model is based on an automata core, which leverages the advantages it offers in terms of representing individual entities and their rule-based interactions. This methodology is extended, however, to incorporate geography-specific functionality, with advantages for the modeling of human systems. The applicability of the methodology is demonstrated through the development of a rich model of residential mobility, in which individual households interact with other households and real-estate infrastructure, dynamically in space and time, to form synthetic communities and artificial property submarkets. Use of the model for what-if experimentation is demonstrated with synthetic economic and sociodemographic simulation scenarios.

Suggested Citation

  • Paul M Torrens, 2007. "A Geographic Automata Model of Residential Mobility," Environment and Planning B, , vol. 34(2), pages 200-222, April.
    • Handle: RePEc:sae:envirb:v:34:y:2007:i:2:p:200-222
    DOI: 10.1068/b31070
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    References listed on IDEAS

    as
    1. Arno J van der Vlist & Cees Gorter & Peter Nijkamp & Piet Rietveld, 2002. "Residential Mobility and Local Housing-Market Differences," Environment and Planning A, , vol. 34(7), pages 1147-1164, July.
    2. Tesfatsion, Leigh, 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," ISU General Staff Papers 200201010800001251, Iowa State University, Department of Economics.
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    1. Jae Beum Cho & Yuri S. Mansury & Xinyue Ye, 2016. "Churning, power laws, and inequality in a spatial agent-based model of social networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 275-307, November.

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