Preliminary assessment of the impact of BIM use during the construction of road projects in Arequipa, Peru.

Abstract

This study evaluates the impact of Building Information Modeling (BIM) applications on road construction projects in Arequipa, Peru. Using a mixed‐methods design, data were collected through structured surveys of 68 professionals and analyzed with the Relative Importance Index (RII), Kruskal–Wallis tests, and Multiple Correspondence Analysis (MCA). Three BIM applications were assessed: 3D modeling, interference analysis, and 4D planning. Results show that 3D modeling had the greatest positive impact (average score of 4.02), particularly in mitigating delays in planning and monitoring. Interference analysis was highly valued for reducing design changes, while 4D planning contributed to improved scheduling accuracy. MCA revealed strong associations between professional roles, experience levels, and perceived BIM impact, underscoring the contextual relevance of BIM adoption in emerging regions. This research provides the first empirical evidence of BIM’s utility in the road sector of Arequipa, offering guidance for practitioners and policymakers seeking to improve project performance. Findings highlight BIM’s potential to address chronic delays and inefficiencies in Peru’s road infrastructure, contributing to broader discussions on technology adoption in developing contexts