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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Modeling the Integration of Building Information Modeling (BIM) and Cost Estimation Tools to Improve Budget Accuracy in Pre-construction Planning

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Abstract

Accurate budget estimation is a critical component of pre-construction planning, ensuring financial feasibility and minimizing cost overruns in building projects. Traditional cost estimation methods often rely on manual calculations and static data, leading to inefficiencies and discrepancies between projected and actual expenses. The integration of Building Information Modeling (BIM) with cost estimation tools presents a transformative approach to enhancing budget accuracy by leveraging real-time data, automated quantity take-offs, and dynamic cost modeling. This paper explores a structured framework for modeling the integration of BIM and cost estimation tools, focusing on their synergistic potential to improve financial predictability in construction projects.
By incorporating BIM-driven cost estimation, stakeholders can achieve greater transparency, efficiency, and collaboration throughout the pre-construction phase. BIM facilitates the visualization of project components, allowing estimators to interact with three-dimensional models and extract precise cost-related data. Integrating cost estimation tools within BIM platforms ensures that modifications to design parameters are instantly reflected in cost projections, reducing uncertainties in financial planning. Moreover, this approach enhances interdisciplinary coordination, enabling architects, engineers, and financial planners to work within a unified digital ecosystem.
This study examines the methodologies used to link BIM with advanced cost estimation software, evaluating their practical applications and effectiveness in improving budgeting accuracy. By analyzing case studies and industry benchmarks, the research identifies key enablers and challenges in adopting BIM-based cost modeling. The findings aim to establish a strategic roadmap for construction professionals, advocating for the widespread integration of BIM-driven estimation frameworks to optimize pre-construction financial planning and mitigate risks associated with budget deviations.
 

How to Cite This Article

Sidney Eronmonsele Okiye, Tochi Chimaobi Ohakawa, Zamathula Sikhakhane Nwokediegwu (2022). Modeling the Integration of Building Information Modeling (BIM) and Cost Estimation Tools to Improve Budget Accuracy in Pre-construction Planning . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 3(2), 729-745. DOI: https://doi.org/10.54660/.IJMRGE.2022.3.2.729-745

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