BIM IN 11 DIMENSIONS: FROM SPATIAL MODELING TO AUTONOMOUS MANAGEMENT OF INVESTMENT PROJECTS
Abstract
The article explores the potential of the multidimensional Building Information Modeling (BIM) framework encompassing eleven dimensions ̶ from basic spatial modeling to autonomous systems for managing investment projects. From an economic perspective, the study examines how the expansion of BIM dimensions influences cost-time parameters, enhances the accuracy of financial planning, and reduces risks under conditions of uncertainty and market volatility. Particular attention was given to the relationship between BIM dimensions and key economic indicators such as NPV (Net Present Value), IRR (Internal Rate of Return), LCC (Life Cycle Cost) and EVA (Economic Value Added), as well as to the impact of digital integration on project profitability, financial resilience, and the capitalization of infrastructure assets. The research further investigates how higher BIM dimensions enable the integration of lifecycle cost analysis, real-time data processing, and predictive analytics, which significantly improves the quality of investment decision-making. It is substantiated that the transition to 10D-11D BIM, incorporating sustainability management, socio-economic impact assessment, and AI-driven autonomous analytics, contributes to the formation of a fundamentally new investment paradigm in civil construction. The study also emphasizes the role of BIM as a platform for coordinating stakeholders, improving transparency of financial flows, and ensuring effective resource allocation throughout the project lifecycle. A conceptual model for applying 11D BIM is proposed to optimize financing structures, increase cost transparency, shorten the project life cycle, and strengthen investor confidence in large-scale infrastructure initiatives. The results demonstrate that multidimensional BIM is transforming from a design tool into comprehensive economic mechanism of strategic management, capable of generating a synergistic effect in post-war recovery processes and facilitating the scaling of investments in civil construction.
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