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Modelling urban form: a multidimensional typology of urban occupation for spatial analysis
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Orientador(es)
Resumo(s)
The conceptual and methodological debate on urban form has grown in the last decades to
recognize that social, economic, demographic and political processes can contribute to the
development of new urban forms, especially those related to urban sprawl, as well as to find
alternative methodologies for measuring them. Spatial metrics derived from landscape ecology
arise as principal indicators to measure urban form. This paper proposes a typology of the urban
occupation of Portuguese municipalities. It uses land use/cover data from 1990 and 2006 to
extract built-up areas, and it presents five spatial metrics alongside seventeen statistical
indicators from 1991 to 2011 most commonly used in the literature to characterize urban
occupation. It uses a self-organising map as a visual tool to identify trends and relationships
among variables and to cluster municipalities. Based on the self-organising map’s visual
clustering, six types of urban occupation of Portuguese municipalities are proposed. In
addition, the paper discusses the added value of using indicators that describe both the
patterns and the characteristics of the municipalities for making spatial planning decisions in
Portugal. The observed results show that spatial metrics are particularly adequate for
measuring peri-urban municipalities (urban sprawl areas). These results represent the first
multidimensional and systematic analysis of Portuguese urban occupation and they can be the
first step in the integration of spatial metrics as indicators that are suitable for the analysis of
spatial planning, and also for comparative purposes at a broader geographical scale.
Descrição
Palavras-chave
Land use/cover Spatial planning Spatial metrics Self-organising-maps Portugal
Contexto Educativo
Citação
Abrantes, P., Rocha, J., Costa, E., Gomes, E., Morgado, P., & Costa, N. (2019). Modeling urban form: a multidimensional typology of urban occupation for spatial analysis. Environment and Planning B: Urban Analytics and City Science, 46(1), 47-65. https://doi.org/10.1177/2399808317700140
Editora
SAGE Publications