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Titel (übersetzt): 
Territorial planning: Interactive multi-criteria decision for urban patterns : case study: Río Cuarto, Córdoba, Argentina
Erscheinungsjahr: 
2018
Quellenangabe: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 26 [Year:] 2018 [Pages:] 25-51
Verlag: 
Universidad Pablo de Olavide, Sevilla
Zusammenfassung (übersetzt): 
The goal of this paper is to analyze the local government's perception about the significance of a discrete multi-criteria method for assessing proposals for urban expansion (PUE). The study case was performed, by using PROMETHEE method, in Río Cuarto, Córdoba, Argentina. The decision matrix consists of five PUEs: one corresponding to a sparse settlement, trend PUE1, and four for compact settlements, PUE2, PUE3, PUE4 and PUE5, where seven criteria are considered: "Loss of Agricultural Income" (LAI), "Population", "Loss of Ecosystem Services" (LES), "Investment Costs in Road Infrastructure" (Road-IC), "Urban Solid Waste Collection" (USWC), "Range of Public Service Networks" and "Political-Institutional Effort" (PIE). Local government's preferences were disclosed by means of a workshop where: the decision matrix was analyzed; and the relative significance that government members assign to each criterium was asked. Results show that PUE4 and PUE2 were considered in the most selected proposals. In comparison with PUE1, PUE4 saves $162 millions (due to a lower LAI and Road-IC); it requires 35% less in Range of Networks and 11% less in USWC, although this is the PUE that requires a significantly greater {\it PIE}. When considering {\it PUE2}, this option saves $196 millions and requires 51% less in Range of Networks and 37% in USWC. However, PUE2 imposes the greatest PIE in relation with PUE1 and houses less inhabitants than PUE4. Government members attach much importance to an approach based on the multi-criteria method to decide a vision of the territory for the future.
Schlagwörter: 
Territorial planning
settlement
multi-criteria decision
demo- graphic policy
sustainable development
JEL: 
C61
O21
R14
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