Information model for multi-criteria construction site selection in decision support systems
Year: 2026
Type: article
Abstract: The paper addresses the problem of multi-criteria construction site selection as part of decision support for construction project planning. An information model is proposed for integrating, formalizing, and processing heterogeneous spatial and attribute data describing potential locations for a construction project. The model is based on a multilayer barcode representation of spatial objects generated from analytical maps of different thematic content and scales. This representation provides a common spatial reference for geospatial data and enables their joint processing within a decision support system. A set of construction site selection criteria is formalized, including technical and geographical, engineering and infrastructure, environmental and social, regulatory and legal, and economic characteristics of the territory. GIS-based spatial analysis, including overlay operations, spatial constraints, and analysis of topological relations, is used to identify feasible alternatives. The site selection problem is formulated as a multi-criteria optimization problem over a set of feasible spatial alternatives. A minimax criterion is applied to evaluate the compliance of alternatives with project requirements, allowing heterogeneous criteria to be considered jointly and the feasible alternatives to be ranked. The proposed information model defines a consistent transition from primary geospatial data to the identification of feasible construction sites, their multi-criteria evaluation, and ranking. The model provides an information basis for automating construction site selection in decision support systems.
Authors: Olena Gorda, Yuliia Riabchun
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7225102785