Evaluating Building Information Modeling (BIM) for Residential Project Management: A Case Study of the Panorama Twin Towers

Document Type : Original Article

Authors

1 Department of Civil Engineering, University of Eyvanekey, Eyvanekey, Iran

2 Department of Industrial Engineering, University of Eyvanekey, Eyvanekey, Iran

Abstract

In recent years, Building Information Modeling (BIM) has emerged as an innovative technology in the construction industry, playing a crucial role in enhancing project management processes. This study aims to evaluate and assess the impact of BIM on improving residential project management, with a case study of the Panorama Twin Towers in Pasdaran. The research examines the extent to which BIM influences key project management indicators, including cost reduction, schedule control, resource optimization, improved coordination among project stakeholders, and delay mitigation. To analyze the data, linear regression analysis has been employed. Linear regression is a widely used statistical method for examining the relationships between independent and dependent variables, which in this study is utilized to assess the impact of BIM on project management indicators. Data related to project execution were collected, preprocessed, and analyzed using a regression model. The coefficients of this statistical model determined the magnitude and direction of the influence of various variables, revealing with high precision the relationship between BIM implementation and project management enhancement. The modeling results indicate that the adoption of BIM has a significant and positive impact on improving project management processes. According to regression analysis, BIM contributes to project delay reduction, optimization of execution costs, increased scheduling accuracy, minimization of rework, improved coordination among project teams, and overall productivity enhancement. Furthermore, statistical analysis of the regression model suggests that BIM can accurately predict management trends and enhance strategic decision-making. These findings can assist project managers, consulting engineers, and other stakeholders in the construction industry in making more efficient and effective decisions, fostering the broader adoption of BIM in future projects.

Keywords

Main Subjects

References

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Civil Engineering and Applied Solutions
Volume 3, Issue 1
Issue in Progress
January 2027
Pages 78-97

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History

  • Receive Date: 31 December 2025
  • Revise Date: 11 February 2026
  • Accept Date: 12 May 2026
  • First Publish Date: 18 May 2026

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