Logic Scoring of Preference and Spatial Multicriteria Evaluation for Urban Residential Land Use Analysis

The Logic Scoring of Preference (LSP) is a general multicriteria decision-making method with origins in soft computing and fuzzy reasoning. It allows the nonlinear aggregation of a large number of input criteria without the loss of significance typical for additive GIS-based MCE methods. The objective of this study is to integrate the LSP method with GIS and create LSP suitability maps for the land suitability analysis applied to real geospatial datasets for new urban residential development in the Metro Vancouver Region, Canada. Several factors influencing land use change were selected to construct the aggregation structure for the LSP-GIS method and implemented for decision-making purposes. This method allows simultaneity, replaceability and a range of other aggregators to match various evaluation objectives. The obtained results indicate that the LSP-MCE method provides refined evaluation of urban land suitability and therefore has a high potential for use in urban planning.

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