Abstract
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.
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Blecic, I., Cecchini, A., Trunfio, G.A. (2011). Modelling Proximal Space in Urban Cellular Automata. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21928-3_34
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DOI: https://doi.org/10.1007/978-3-642-21928-3_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21927-6
Online ISBN: 978-3-642-21928-3
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