Land use interpretation for cellular automata models with socioeconomic heterogeneity

Cellular automata models for simulation of urban development usually lack the social heterogeneity that is typical of urban environments. In order to handle this shortcoming, this paper proposes the use of supervised clustering analysis to provide socioeconomic intra-urban land use classification at...

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Hlavní autor: Furtado, Bernardo Alves
Médium: Online
Jazyk:por
Vydáno: ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2011
On-line přístup:https://seer.ufrgs.br/ambienteconstruido/article/view/19099
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spelling ojs-article-190992011-12-31T19:42:38Z Land use interpretation for cellular automata models with socioeconomic heterogeneity Furtado, Bernardo Alves Cellular automata models; Urban development; RMBH; Supervised clustering analysis Cellular automata models for simulation of urban development usually lack the social heterogeneity that is typical of urban environments. In order to handle this shortcoming, this paper proposes the use of supervised clustering analysis to provide socioeconomic intra-urban land use classification at different levels to be applied to cellular automata models. An empirical test in a highly diverse context in the Greater Metropolitan Area of Belo Horizonte (RMBH) in Brazil is provided. The results show that a reliable division into different socioeconomic land-use classes at large scale enable detailed urban dynamic analysis. Furthermore, the results also allow the quantification of the proportion of urban space occupation for different levels of income; (2) and their pattern in relation to the city centre. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2011-12-05 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://seer.ufrgs.br/ambienteconstruido/article/view/19099 Ambiente Construído; v. 11, n. 4 (2011); 167-183 Ambiente Construído; v. 11, n. 4 (2011); 167-183 Ambiente Construído; v. 11, n. 4 (2011); 167-183 1678-8621 1415-8876 por https://seer.ufrgs.br/ambienteconstruido/article/view/19099/14570 Direitos autorais 2016 Ambiente Construído https://creativecommons.org/licenses/by/4.0
institution Universidade Federal do Rio Grande do Sul
collection OJS
language por
format Online
author Furtado, Bernardo Alves
spellingShingle Furtado, Bernardo Alves
Land use interpretation for cellular automata models with socioeconomic heterogeneity
author_facet Furtado, Bernardo Alves
author_sort Furtado, Bernardo Alves
title Land use interpretation for cellular automata models with socioeconomic heterogeneity
title_short Land use interpretation for cellular automata models with socioeconomic heterogeneity
title_full Land use interpretation for cellular automata models with socioeconomic heterogeneity
title_fullStr Land use interpretation for cellular automata models with socioeconomic heterogeneity
title_full_unstemmed Land use interpretation for cellular automata models with socioeconomic heterogeneity
title_sort land use interpretation for cellular automata models with socioeconomic heterogeneity
description Cellular automata models for simulation of urban development usually lack the social heterogeneity that is typical of urban environments. In order to handle this shortcoming, this paper proposes the use of supervised clustering analysis to provide socioeconomic intra-urban land use classification at different levels to be applied to cellular automata models. An empirical test in a highly diverse context in the Greater Metropolitan Area of Belo Horizonte (RMBH) in Brazil is provided. The results show that a reliable division into different socioeconomic land-use classes at large scale enable detailed urban dynamic analysis. Furthermore, the results also allow the quantification of the proportion of urban space occupation for different levels of income; (2) and their pattern in relation to the city centre.
publisher ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
publishDate 2011
url https://seer.ufrgs.br/ambienteconstruido/article/view/19099
work_keys_str_mv AT furtadobernardoalves landuseinterpretationforcellularautomatamodelswithsocioeconomicheterogeneity
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