<p>The architectural, engineering, and construction industry has great potential for productivity growth with building information modeling, a fundamental of Information digital delivery. Building Information Modelling (BIM) is acquiring rapid traction in the global construction industry and is predicted to surpass other construction sectors besides building infrastructures. This study aimed to understand the BIM maturity in the Indian construction industry and its willingness to adopt advancements in BIM Techniques for complex infrastructures like tunnels. The assessment method identifies the BIM maturity in the Indian construction industry and their readiness to adopt further advancement in enhancing the applications of BIM and optimized implementation of BIM techniques, highlighting the digital advancements BIM deployment can bring to Information construction management for tunnel infrastructure. The study is processed in three stages, to assess the BIM maturity in the Indian construction industry, through a structured questionnaire survey and interviews also assessing the maturity levels for BIM dimensions using the classification learner technique. Secondly, the BIM maturity level is identified for all the BIM dimensions, along with the information about the software mostly used in these dimensions in India. The findings revealed that 3D and 4D Bim dimensions showed relatively higher maturity level, with tools like Revit and Navisworks reaching Optimized stages. The classification Learner technique using the SVM model validated software maturity with 83% accuracy. Lastly, awareness on construction Information modelling, its applications and obstacles in adoption on BIM techniques is identified. Further, a framework is developed based on the Level of development and basic criteria like, organization, environment, resources, processes and procedures, and IT Infrastructure. This study assesses BIM maturity within the Indian construction sector, focusing on readiness for complex infrastructure such as tunnels. Using a questionnaire survey of 483 professionals and an SVM classifier for validation (83% accuracy), maturity was evaluated across BIM dimensions (3D–7D). Findings show high maturity in 3D–4D, moderate in 5D, and low in 6D–7D, highlighting readiness gaps in lifecycle integration. Based on these gaps, a conceptual framework is suggested to guide future digital transformation. Construction Information Modelling is proposed as a framework to guide BIM-based digital adoption across lifecycle stages, particularly suited for infrastructure projects like tunnels. The study contributes to the diagnosis of the application of digital techniques, further assisting in organizations and stakeholders to evaluate current BIM practices.</p>

BIM maturity assessment for tunnel infrastructure in India

期刊论文
发表日期：

2026年2月16日

查看全文

Anshul Gupta,
Prasanna Venkatesan Ramani

摘要

The architectural, engineering, and construction industry has great potential for productivity growth with building information modeling, a fundamental of Information digital delivery. Building Information Modelling (BIM) is acquiring rapid traction in the global construction industry and is predicted to surpass other construction sectors besides building infrastructures. This study aimed to understand the BIM maturity in the Indian construction industry and its willingness to adopt advancements in BIM Techniques for complex infrastructures like tunnels. The assessment method identifies the BIM maturity in the Indian construction industry and their readiness to adopt further advancement in enhancing the applications of BIM and optimized implementation of BIM techniques, highlighting the digital advancements BIM deployment can bring to Information construction management for tunnel infrastructure. The study is processed in three stages, to assess the BIM maturity in the Indian construction industry, through a structured questionnaire survey and interviews also assessing the maturity levels for BIM dimensions using the classification learner technique. Secondly, the BIM maturity level is identified for all the BIM dimensions, along with the information about the software mostly used in these dimensions in India. The findings revealed that 3D and 4D Bim dimensions showed relatively higher maturity level, with tools like Revit and Navisworks reaching Optimized stages. The classification Learner technique using the SVM model validated software maturity with 83% accuracy. Lastly, awareness on construction Information modelling, its applications and obstacles in adoption on BIM techniques is identified. Further, a framework is developed based on the Level of development and basic criteria like, organization, environment, resources, processes and procedures, and IT Infrastructure. This study assesses BIM maturity within the Indian construction sector, focusing on readiness for complex infrastructure such as tunnels. Using a questionnaire survey of 483 professionals and an SVM classifier for validation (83% accuracy), maturity was evaluated across BIM dimensions (3D–7D). Findings show high maturity in 3D–4D, moderate in 5D, and low in 6D–7D, highlighting readiness gaps in lifecycle integration. Based on these gaps, a conceptual framework is suggested to guide future digital transformation. Construction Information Modelling is proposed as a framework to guide BIM-based digital adoption across lifecycle stages, particularly suited for infrastructure projects like tunnels. The study contributes to the diagnosis of the application of digital techniques, further assisting in organizations and stakeholders to evaluate current BIM practices.