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Empirically Derived Neighbourhood Rules for Urban Land-Use Modelling

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  • Henning S Hansen

    (Department of Development and Planning, Aalborg University, Lautrupvang 2B, DK-2750 Ballerup, Denmark)

Abstract

Land-use modelling and spatial scenarios have gained attention as a means to meet the challenge of reducing uncertainty in spatial planning and decision making. Many of the recent modelling efforts incorporate cellular automata to accomplish spatially explicit land-use-change modelling. Spatial interaction between neighbouring land uses is an important component in urban cellular automata. Nevertheless, this component is often calibrated through trial-and-error estimation. The aim of this project has been to develop an empirically derived landscape metric supporting cellular-automata-based land-use modelling. Through access to very detailed urban land-use data it has been possible to derive neighbourhood rules empirically, and test their sensitivity to the land-use classification applied, the regional variability of the rules, and their time variance. The developed methodology can be implemented easily and thus used as a much needed replacement for the various trial-and-error approaches that are often applied in land-use modelling.

Suggested Citation

  • Henning S Hansen, 2012. "Empirically Derived Neighbourhood Rules for Urban Land-Use Modelling," Environment and Planning B, , vol. 39(2), pages 213-228, April.
    • Handle: RePEc:sae:envirb:v:39:y:2012:i:2:p:213-228
    DOI: 10.1068/b36008t
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    References listed on IDEAS

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    1. Michel Hagoort & Stan Geertman & Henk Ottens, 2008. "Spatial externalities, neighbourhood rules and CA land-use modelling," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 39-56, March.
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    Cited by:

    1. Jing Yang & Feng Shi & Yizhong Sun & Jie Zhu, 2019. "A Cellular Automata Model Constrained by Spatiotemporal Heterogeneity of the Urban Development Strategy for Simulating Land-use Change: A Case Study in Nanjing City, China," Sustainability, MDPI, vol. 11(15), pages 1-19, July.

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