Scholarly record
GEOSPATIAL ANALYSIS FOR ADVANCED URBAN CONSTRUCTION SITE SUITABILITY
Abstract
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 linear aggregation, the methodology generates composite indices integrating accessibility, land area availability, infrastructural proximity, and topographic feasibility. Sensitivity analysis across buffer distances and weight configurations validates robustness while cross-validation against manually classified sites maintains accuracy. The framework demonstrates crowd-sourced data sufficiency for professional geospatial analytics, addressing theoretical gaps in open data validation for civil engineering applications. Computational efficiency and zero-cost reproducibility position this approach as a scalable alternative to commercial GIS solutions, with demonstrated transferability across European urban morphologies.
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