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Correlating densities of centrality and activities in cities : the cases of Bologna (IT) and Barcelona (ES)

Porta, S. and Latora, V. and Wang, F. and Rueda, S. and Cormenzana, B. and Càrdenas, F. and Latora, L. and Strano, E. and Belli, E. and Cardillo, A. and Scellato, S. (2009) Correlating densities of centrality and activities in cities : the cases of Bologna (IT) and Barcelona (ES). In: Planning, Complexity and New ICT. Alinea, Firenze, Italy, pp. 37-46. ISBN 978-1-4244-1505-2

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This paper examines the relationship between street centrality and densities of commercial and service activities in cities. The aim is to verify whether a correlation exists and whether some 'secondary' activities, i.e. those scarcely specialized oriented to the general public and ordinary daily life, are more linked to street centrality than others. The metropolitan area of Barcelona (Spain) is investigated, and results are compared with those found in a previous work on the city of Bologna (Italy). Street centrality is calibrated in a multiple centrality assessment (MCA) model composed of multiple measures such as closeness, betweenness and straightness. Kernel density estimation (KDE) is used to transform data sets of centrality and activities to one scale unit for correlation analysis between them. Results indicate that retail and service activities in both Bologna and Barcelona tend to concentrate in areas with better centralities, and that secondary activities exhibit a higher correlation.

Item type: Book Section
ID code: 18474
Keywords: planninh, architecture, cities, city planning, ict, centrality, density, Mathematical geography. Cartography, Social Sciences (General), Architecture
Subjects: Geography. Anthropology. Recreation > Mathematical geography. Cartography
Social Sciences > Social Sciences (General)
Fine Arts > Architecture
Department: Faculty of Engineering > Architecture
Faculty of Science > Computer and Information Sciences
Depositing user: Dr Nina Baker
Date Deposited: 31 Mar 2010 09:25
Last modified: 24 Jul 2015 10:59

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