Integrating geographical information systems and multi-criteria methods: A case study

This paper presents an application of the integration between Geographical Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) to aid spatial decisions. We present a hypothetical case study to illustrate the GIS-MCDA integration: the selection of the best municipal district of Rio...

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Bibliographic Details
Published in:Annals of operations research 2002-10, Vol.116 (1), p.243
Main Authors: Eliane Goncalves Gomes, Marcos Pereira Estellita Lins
Format: Article
Language:English
Subjects:
Case studies
Computer programming
Decision analysis
Decision making
Geographic information systems
GNP
Gross National Product
Information processing
Linear programming
Methods
Operations research
Software
Studies
Urbanism
User interface
Visualization
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Summary:This paper presents an application of the integration between Geographical Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) to aid spatial decisions. We present a hypothetical case study to illustrate the GIS-MCDA integration: the selection of the best municipal district of Rio de Janeiro State, Brazil, in relation to the quality of urban life. The best municipal district is the one that presents the closest characteristics to those considered ideal by the decision-maker. The approach adopted is the Multi-Objective Linear Programming (MOLP) and the chosen method is the Pareto Race. [PUBLICATION ABSTRACT]
ISSN:0254-5330
1572-9338
DOI:10.1023/A:1021344700828