Blecic, Ivan and Cecchini, Arnaldo and Trunfio, Giuseppe Andrea (2011) Modelling proximal space in urban cellular automata. In: Computational science and its applications: international conference, ICCSA 2011: proceedings, Part I, 20-23 June 2011, Santander, Spain. Berlin / Heidelberg, Springer. p. 477-491. (Lecture Notes in Computer Science, 6782/2011). ISSN 0302-9743. ISBN 978-3-642-21927-6. Conference or Workshop Item.
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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.
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