This work presents the concept of an automated system for urban planning decisions to support balanced integrated residential development. The system aims to ensure developer profitability while maximizing socio-economic benefits for the city and its residents. The study focuses on analyzing stakeholder interactions, creating a multi-criteria optimization model to balance interests, and formalizing land selection processes. Methods include domain-driven design (DDD), hierarchy analysis for investment assessment, and multi-criteria optimization for financial modeling. The outcome is a conceptual taxonomic model, a quantitative land assessment method, and a financial model forming the basis for strategic urban development decisions.

Keywords: аutomated decision-making system, conceptual taxonomic model, mathematical model, economic model, weighting coefficients, integrated residential development, profitability, descriptive logic, domain driven design, investment attractiveness models