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2159. A Compromise Programming Approach for Assessing the Biophysical Suitability of the Territory: The Case of the Loulé Municipality
Invited abstract in session TB-47: Portfolio Risk Management, stream Multiple Criteria Decision Analysis.
Tuesday, 10:30-12:00Room: 50 (building: 324)
Authors (first author is the speaker)
1. | António Xavier
|
University of Évora, CEFAGE-UE (Center for Advanced Studies in Management and Economics) | |
2. | Maria de Belém Costa Freitas
|
Science and Technology Faculty, MED and University of Algarve | |
3. | Carla Antunes
|
MED and University of Algarve |
Abstract
Land use fragmentation is an important issue for management and rural development. For the last few decades, the relationship between mankind and land has become more dynamic though the traditional cadastral system has been slow in responding to the changing needs of the society. Generally defined, land-use suitability analysis aims at identifying the most appropriate spatial pattern for future land uses respecting specific requirements and preferences in what concerns the activities developed. The analysis of the land use suitability implies not only to consider the best aggregate solution, but also the balance among the different criteria, which calls for the necessity of multicriteria decision analysis techniques. This article proposes a compromise programming approach for determining the biophysical potential of land parcels. The approach has 4 steps: 1) Cluster analysis do identify homogeneous zones within the study area; 2; Compromise programming approach for the suitability index building and ranking construction; 3) Statistical analysis (statistical tests to assess the differences among clusters); 4) Spatial analysis of the results. The approach was implemented in the Loulé municipality, Portugal, in more than 50000 parcels. Results were promising since the approach was able to create a ranking of parcels that have different biophysical conditions, proving that this approach is relevant and interesting for land management.
Keywords
- Mathematical Programming
- OR in Agriculture
- Sustainable Development
Status: accepted
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