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A Proximal space approach for embedding urban geography into CA models

Blecic, Ivan and Cecchini, Arnaldo and Trunfio, Giuseppe Andrea (2010) A Proximal space approach for embedding urban geography into CA models. In: ACRI 2010: 9th International Conference on Cellular Automata for Research and Industry, 21-24 September 2010, Ascoli Piceno, Italy. Berlin - Heidelberg, Springer. p. 106-115. (Lecture Notes in Computer Science, 6350/2010). Conference or Workshop Item.

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DOI: 10.1007/978-3-642-15979-4_11


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) the accessibility of places and (2) the distance “as the crow flies”. 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 essential and crucial feature of 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.

Item Type:Conference or Workshop Item (Contribute)
ID Code:7295
Uncontrolled Keywords:Urban cellular automata, land-use dynamics, proximal space, irregular, neighbourhood, informational signal propagation, informational field
Subjects:Area 08 - Ingegneria civile e Architettura > ICAR/22 Estimo
Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Area 08 - Ingegneria civile e Architettura > ICAR/20 Architettura e pianificazione urbanistica
Divisions:001 Università di Sassari > 01 Dipartimenti > Architettura e pianificazione
Deposited On:27 Mar 2012 10:13

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