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Modelling urban form: A multidimensional typology of urban occupation for spatial analysis

Authors :
Abrantes, Patrícia
Rocha, Jorge
Marques Da Costa, Eduarda
Gomes, Eduardo
Morgado Sousa, Paulo
Marques Da Costa, Nuno
Repositório da Universidade de Lisboa
Source :
Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP
Publication Year :
2017
Publisher :
SAGE Publications, 2017.

Abstract

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.

Details

ISSN :
23998091 and 23998083
Volume :
46
Database :
OpenAIRE
Journal :
Environment and Planning B: Urban Analytics and City Science
Accession number :
edsair.doi.dedup.....7269f0fd45dcde60826e062c48b9131e
Full Text :
https://doi.org/10.1177/2399808317700140