ADDRESSING COMPLEX SPATIAL DECISION PROBLEMS IN MOUNTAINOUS AREAS: THE INTELLIGENT SPATIAL DECISION SUPPORT SYSTEMS (SDSS) APPROACH

Kostas Tolidis () and Efi Dimopoulou ()
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Kostas Tolidis: School of Rural and Surveying Engineering, National Technical University of Athens.
Efi Dimopoulou: School of Rural and Surveying Engineering, National Technical University of Athens.

Regional Science Inquiry, 2012, vol. IV, issue 3, 51-67

Abstract: This paper discusses the issue of land use planning and land policy making for mountain regions, considered as regions with specific characteristics (natural, cultural, etc.), but also development constraints. Spatial decision making in such regions is characterized by complexity (semi-structured spatial decision problems) and multiplicity of problems. These indicate the need for qualitative information in support of the decision-making process, in order to improve effectiveness in decision making. Toward this end, it is first presented the state-of-the-art of MC-SDSSs and their significance as a planning tools for mountainous areas; second are outlined the multiple benefits from the use of Artificial Intelligence (AI) tools in the context of MC-SDSS for Multisite Land Use Allocation (MLUA) procedures applied in mountainous areas; and finally, a MLUAL methodological framework as the core of a future MC-SDSS is proposed.

Keywords: MC-SDSS; mountainous areas; spatial planning; decision making; artificial intelligence (search for similar items in EconPapers)
JEL-codes: R10 R11 (search for similar items in EconPapers)
Date: 2012
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