2011 | OriginalPaper | Buchkapitel
Modelling Proximal Space in Urban Cellular Automata
verfasst von : Ivan Blecic, Arnaldo Cecchini, Giuseppe A. Trunfio
Erschienen in: Computational Science and Its Applications - ICCSA 2011
Verlag: Springer Berlin Heidelberg
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In the great majority of urban models based on Cellular Automata (CA), the concept of proximity is assumed to reflect two fundamental sources of spatial interaction: (1) accessibility and (2) vicinity in Euclidean sense. While the geographical space defined by the latter clearly has an Euclidean representation, the former, based on the accessibility, does not admit such a regular representation. Very little operational efforts have been undertaken in CA-based urban modelling to investigate and provide a more coherent and cogent treatment of such irregular geometries, which indeed are a fundamental feature of any urban geography. In this paper, we suggest an operational approach – entirely based on cellular automata techniques – to model the complex topology of proximities arising from urban geography, and to entangle such proximity topology with a CA model of spatial interactions.