METHODOLOGICAL TOOLKIT FOR ASSESSING THE IMPACT OF SOCIO-ECONOMIC DETERMINANTS ON HOUSING DEVELOPMENT
Abstract
multidimensional impact. Traditional research methods based on single-sector analysis or simple correlation dependencies prove insufficient for understanding the complex nature of modern housing systems and intricate interrelationships between different types of determinants. A comprehensive methodological toolkit integrating matrix analysis and graph theory for systematic investigation of five determinant dimensions has been developed: economic, social, environmental, technological, and spatial. The conceptual foundation is based on systems theory and complex adaptive systems concepts, treating the determinant system as a weighted directed graph G = (V, E, W) where vertices represent determinant dimensions and edges reflect causal relationships. The developed system comprises seven interconnected matrix models: Basic Interaction Matrix (BIM) serving as the fundamental element, Dynamic Coefficients Matrix (DCM) modeling temporal evolution, Crisis Modifications Matrix (CMM) reflecting extreme conditions adaptation, Feedback Links Matrix (FLM) revealing interaction asymmetries, Adaptive Weights Matrix (AWM) ensuring contextual relevance, Target Indicators Matrix (TIM) providing operational planning framework, and Temporal Lags Matrix (TLM) optimizing intervention timing parameters. The toolkit architecture includes four interconnected methodological blocks: diagnostic-analytical for structure identification, dynamic-adaptive for system evolution modeling, prognostic-scenario for development forecasting, and validation-optimization for results verification. The study developed specific housing policy recommendations considering optimal impact pathways, temporal lags between determinants, and adaptive strategies for extreme operational conditions, creating a scientific foundation for evidence-based housing development management.
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