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The present study employs social network analysis (SNA) to demonstrate the extent to which various building information modeling (BIM) functions can be used to address significant issues faced by the Tanzanian public sector construction projects.

This study adopted secondary data obtained from a comprehensive literature review on core BIM functions and the underlying issues faced by the Tanzanian public sector construction projects. This study then adopted SNA for associating the BIM functions with relevant construction issues.

For Objective 1, the findings revealed that BIM can address 68% of significant issues faced by the Tanzanian public sector construction projects. For Objective 2, the findings revealed that the identified functions mainly addressed issues in the early phases of the project. Finally, for Objective 3, the most effective function was “spatial coordination.”

This literature-based study does not fully capture both the current contextual issues faced by the industry and the BIM capability of stakeholders involved. In addition, this research does not distinguish between public project size and type which can influence the types of issues faced and consequently the use of BIM function. Accordingly, the research presented in this study needs to be complemented by on-the-ground feedback of industry stakeholders and needs to investigate how project size and type impacts the types of issues that emerge and the use of BIM.

With respect to practice, the findings of the present study highlight key BIM functions practitioners can begin to target.

In Tanzania, public sector construction projects contribute greatly to social development of Tanzania's population. Owing to the current state of public sector projects underperforming and the negative impact the projects have on the country's development, an intervention measure such as BIM has the potential to enhance the effective and efficient delivery of these projects and thereby promote the social development of the country's population.

With respect to theory, this study demonstrates how core functions of BIM can be mapped with various construction-related issues in order to evaluate the efficacies of the BIM-based investments for improving overall performance in the public sector projects. With respect to practice, the method illustrated in the present study can be applied by policymakers and practitioners to identify core BIM functions to target to address pressing contextual issues faced by public sector projects in the respective contexts.

Freeways in Australia play a significant role in connecting distant communities, shifting freight and strengthening the country’s economy. To meet the growing needs of present and future generations, delivering a socially sustainable road infrastructure that creates generational benefits is essential. However, the existing literature reveals the lack of comprehensive indicators to assess the social sustainability performance of freeway projects. Therefore, this paper aims to identify a critical set of system-specific indicators to evaluate the life cycle social footprint of Australian freeways.

This study conducted 31 interview questionnaire surveys with actively engaged stakeholders involved in various freeway projects around Australia. The data collected was analysed using fuzzy set theory and other statistical approaches.

The study identified 42 critical indicators for assessing the social sustainability performance throughout the life cycle of freeways in the Australian context. For example, stakeholder involvement, reduction of casualty rate due to road accidents, fair remuneration to project workforce and improved accessibility to required services.

The context-specific opinions extracted from the industry experts and the comprehensive set of critical indicators identified would ensure that all the vital aspects of social sustainability are considered throughout the life cycle of Australian freeways in the future, assisting the decision-makers in enhancing the project’s social sustainability performance.

The linguistic explanations associated with the ratings given by the industry experts provide greater insight into the context of the life cycle social sustainability assessment of Australian freeways exclusively.