3. V-Planning Methodology

V-Planning Methodology – Abstract

This section presents the methodological framework of V-Planning, providing a systematic approach for analyzing, simulating, and optimizing urban value through the Urban Value Field (UVF). The framework integrates Geographic Information Systems (GIS), artificial intelligence (AI), Digital Twins, spatial analytics, and computational modeling into a unified planning workflow. It describes the processes of multi-source data integration, urban value analysis, scenario simulation, and planning optimization, enabling planners to evaluate alternative development strategies using quantitative evidence. The section also introduces adaptive planning and decision-support mechanisms that facilitate real-time policy evaluation, infrastructure planning, and sustainable resource allocation. By combining advanced computational technologies with value-oriented planning principles, the V-Planning methodology establishes a scalable and evidence-based framework for intelligent urban planning and adaptive metropolitan governance.

Keywords: V-Planning; Urban Value Field (UVF); Spatial Analytics; Digital Twin; Decision Support System (DSS)

3.1. Overall Methodological Framework

3.2. Urban Value Field Modeling

3.3. Data Integration Framework

3.4. AI-driven Urban Analysis

3.5. Spatial Optimization

3.6. Digital Twin Simulation

3.7. Decision Support Framework

3.8. Adaptive Planning Process

3.9. Validation and Evaluation

3.10. Chapter Summary