Developing a Spatial Decision Support System (SDSS) with Spatial Planning Approach in Land Suitability Analysis

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Abstract
Due to the potentials and social, economic and environmental considerations land suitability analysis is the most important geographical issues in spatial planning plans. The lack of an integrated approach and the uncertainty in these problems has led the inherent conflicts associated with land suitability analysis. Currently, land suitability analysis in spatial planning plans is done without taking conflicts over land suitability during modeling. The purpose of this study is development a spatial decision support system (SDSS) appropriate with spatial planning requirements in Kohgiluyeh and Boyer-Ahmad based on LUCIS model. The present study focuses on three major kinds of land uses include agriculture, natural resources and urban with an integrated vision. The spatial model used in this research is (LUCIS). In this study, Demand and concerns of stakeholders will be operational with the development and deployment of a spatial decision support system (SDSS). In this context, multi-criteria decision making (MCDM) analysis will be used. The Result of this system is a spatial system that automatically performs land use modeling accordance with the views of decision-makers based on LUCIS model. Land use conflicts will be identified as well as in the present system.

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Carr, M. H., & Zwick, P. D. (2007). Smart land-use analysis: the lucis model land-use conflict identification strategy: ESRI, Inc.
Chakhar, S., & Mousseau, V. (2008). GIS‐based multicriteria spatial modeling generic framework. International Journal of Geographical Information Science, 22(11-12), 1159-1196.
Collins, M. G., Steiner, F. R., & Rushman, M. J. (2001). Land-use suitability analysis in the United States: historical development and promising technological achievements. Environmental management, 28(5), 611-621.
Goodchild, M. F., & Janelle, D. G. (2004). Spatially integrated social science: Oxford University Press.
Jelokhani-Niaraki, M., & Malczewski, J. (2015). A group multicriteria spatial decision support system for parking site selection problem: A case study. Land Use Policy, 42, 492-508.
Jelokhani-Niaraki, M., Sadeghi-Niaraki, A., & Choi, S.-M. (2018). Semantic interoperability of GIS and MCDA tools for environmental assessment and decision making. Environmental Modelling & Software, 100, 104-122.
Joerin, F., Thériault, M., & Musy, A. (2001). Using GIS and outranking multicriteria analysis for land-use suitability assessment. International Journal of Geographical Information Science, 15(2), 153-174.
Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in planning, 62(1), 3-65.
Malczewski, J. (2006). GIS‐based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703-726.
Malczewski, J., & Rinner, C. (2016). Multicriteria decision analysis in geographic information science: Springer.
Sugumaran, R., & Degroote, J. (2010). Spatial decision support systems: Principles and practices: Crc Press.