Impacts of Planners' Different Viewpoints on Optimum Land-Use Allocation

Abstract

Development of different viewpoints/perspectives in the planning process and discussion of their empirical results will allow creation of "better land-use plans". In this sense, one of the deficiencies met by the land-use planners is lack of decision support system that can analyse the empirical results of different viewpoints analytically. The aim of this study is to analyse impacts between planners' different viewpoints and the optimum land-uses allocation empirically and analytically. The study uses a generalized land assignment model formulated by Hanink and Cromley (1998) [Land-use allocation in the absence of complete market values, Journal of Regional Science, 38(3), pp. 465 -480] that integrates the geographical information systems with multi-criteria decision-making techniques in Cesme/Izmir in Turkey. The study results indicated that the model is very useful to analyse impacts between planners' viewpoint and optimum land-use allocation.

Spatial decision making under determinism vs. uncertainty: A comparative multi-level approach to preference mapping

“…Instead of utilizing these indirect methods of uncertainty assessment at the final output level in decision making [28], this study set out with the main premise that uncertainty makes a difference in terms of both the pattern and level of suitability of the alternatives at each hierarchical level of multi-criteria land-use planning. In doing this, no consideration was given to how "objective" or "sensitive" the decisions were, and by whom they were taken in the decision-making process, whether individual modelers, a group of experts with different backgrounds -such as planners [42] -, community participants [9; 17] and/or politicians.…”

Heuristic Methods

“…Cromley and Hanink (1999) argue that the use of heuristics, such as MOLA, for tackling spatial problems is only justified if they result in near optimal solutions and if an efficient exact method cannot be developed. Consequently, they demonstrated that suitability based land use allocation analysis can be operationalized in terms of a generalized assignment problem (see also Çelik and Türk 2011;Türk and Çelik 2013) and solved using exact methods (see Chap. 5).…”

Multicriteria Decision Analysis in Geographic Information Science

“…This shortcoming stimulated research on developing heuristic procedures to take into account both spatial (land use suitability) and spatially explicit criteria for land use allocation and site search problems (see Sect. Consequently, they demonstrated that suitability based land use allocation analysis can be operationalized in terms of a generalized assignment problem (see also Türk and Çelik 2013) and solved using exact methods (see Chap. Furthermore, have shown that MOLA is most efficient when the suitability scores for different land uses are inversely correlated.…”