The dynamic evolution of synergies between BIM and sustainability: A text mining and network theory approach

The increasing demand for a sustainable Architecture, Engineering and Construction (AEC) industry has driven research domains integrating Building Information Modeling (BIM) with sustainability to gain momentum over the past years. While some studies have reviewed the development in these two domains separately, they did not address the important associations between them, nor did they analyze their joint advancement over time. Therefore, this study aims to understand and quantitatively analyze the dynamic evolution of relationships between BIM and sustainability critical towards developing BIM's functionalities to satisfy the industry's growing sustainability needs. First, 523 relevant journal articles published over the last 15 years were collected. Rule-based content analysis is then conducted on these articles using text mining to retrieve and structure relevant textual data pertaining to the six defined dimensions: BIM functionalities, software, sustainability aspects, green certification systems, project phases, and stakeholders. Social network theory is then applied to map and measure the associations between the dimensions' components for analyzing the dynamic changes in their synergies over three spans. Results reveal a significant transformation in the diversity, magnitude, and expansion of associations between BIM and sustainability domains across the supply chain. Findings also highlight less explored areas that require further research and industrial attention towards achieving full use of BIM and sustainability's integrated power. This work's novelty lies in comprehensively and quantitatively analyzing these often-dismissed synergies to reveal through knowledge-based findings how BIM has progressed to address the industry's changing sustain ability requirements and recommend future directions for advancing sustainable BIM practices.

Automated summary

This study quantitatively analyzed the dynamic evolution of relationships between BIM and sustainability by collecting and analyzing journal articles in the field, using text mining and social network theory. The results revealed significant changes and expansions in the associations between these two domains across the supply chain over the past 15 years.