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The spatial mismatch between available urban land and construction suitability constitutes a persistent challenge in civil engineering and urban planning, exacerbated by proprietary data costs and methodological opacity. This study formalizes a reproducible multi-criteria decision analysis framework leveraging vector datasets to derive quantitative construction site suitability indices through standardized geocomputation workflows. Employing buffer topology operations, Euclidean distance transforms, and weighted l...

Construction marketing requires visual evidence of site potential to secure client commitment, but accessible geospatial tools remain limited for small developers. This study presents a streamlined analysis workflow generating client-ready heatmaps that quantify site attractiveness through standardized metrics: accessibility (road network proximity), visibility (line-of-sight exposure), and neighborhood quality (amenities proximity). Using conventional buffer analysis on crowd-sourced layers, the methodology produ...