Design and decision support systems in urban planning : international conference, 5th, Nijkerk, The Netherlands, August 22-25, 2000

Giuseppe Angelini Davide Mazzacane Francesco Selicato Carmelo M. Torre Polytechnic ofBari, Department of Architecture and Town Planning Bari, Italy Evaluation is assuming ever greater importance in the context of spatial planning, especially referring to environmental issues. Not strictly quantitative data to be frequently used are difficult to incorporate in analysis/evaluation methods. Traditional geostatistic and combinatory applications are helpful in the construction of environmental indicators (such as ecological and in partsustainability indicators), only when the quantitative dimension prevails (Batty, 1996). These applications do not enable hierarchies of complex values to be obtained, whereas these are typically necessary in the case of scaling/ranking of envirorunental values. The search for complex values has become more and more important in research on sustainable development, triggered by the criticism of the reductionist method, and of the reductionist models used especially during the '70s and '80s. Instead, geographical information systems have features that allow them to manage not only massive knowledge bases in terms of numbers of data, but also to support the structuring of complex problems. For instance, such applications can stem from the integration of GIS routines with algorithms deriving from the application of multicriteria methods (Fusco Girard and Nijkamp, 1997). In this paper some· considerations are made, starting from the experience gained during a specific case study carried out in this field. A prototype geographic information system for environmental planning has been developed to manage and monitor the envirorunental risk in an Italian coastal area in the southern part of the Adriatic Sea. In this case the GIS essentially supported the application of some multicriteria approaches, based on concordance (Roy, 1985) and regime (Hinloopen et al.,1988) methods. These approaches are used to build GIS routines, and enable the construction of a geography of complex environmental values.

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