Empirically Derived Neighbourhood Rules for Urban Land-Use Modelling

Henning S Hansen
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Henning S Hansen: Department of Development and Planning, Aalborg University, Lautrupvang 2B, DK-2750 Ballerup, Denmark

Environment and Planning B, 2012, vol. 39, issue 2, 213-228

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.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:39:y:2012:i:2:p:213-228

DOI: 10.1068/b36008t

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