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An Agent-Based Heuristic Method for Generating Land-Use Plans in Urban Planning

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  • Theo A Arentze
  • Aloys W J Borgers
  • Linda Ma
  • Harry J P Timmermans

Abstract

Land-use models are a well-established component of planning support systems to support urban planning for and with a local community. Existing models are based on either land-suitability analysis or facility-network performance analysis, reflecting two major approaches in modelling for spatial planning—land-use-allocation or land-use-change modelling, and location-allocation modelling. In this study, we propose an agent-based approach to combine methods from both approaches in a single system. We argue and illustrate in a case study that the integrated model is better able to account for a difference in nature between area-type land uses (for example, housing, industry, nature), on the one hand, and facility-type land uses (for example, retailing, schools, medical services), on the other. The model is able to generate a limited set of different land-use-plan alternatives by systematically varying macrocharacteristics of facility networks. The results of a case study suggest that the model generates meaningful sets of land-use-plan alternatives in reasonable computation time.

Suggested Citation

  • Theo A Arentze & Aloys W J Borgers & Linda Ma & Harry J P Timmermans, 2010. "An Agent-Based Heuristic Method for Generating Land-Use Plans in Urban Planning," Environment and Planning B, , vol. 37(3), pages 463-482, June.
    • Handle: RePEc:sae:envirb:v:37:y:2010:i:3:p:463-482
    DOI: 10.1068/b35050
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    References listed on IDEAS

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    3. Robert G. Cromley & Dean M. Hanink, 1999. "Coupling land use allocation models with raster GIS," Journal of Geographical Systems, Springer, vol. 1(2), pages 137-153, July.
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