Faculty: Environmental Sciences
Department: Building


Akinola, V. Olufunke
Okolie K. C.


The construction industry has been lagging behind other industries in terms of project delivery for the past decades due to non-collaborative efforts of stakeholders and fragmented nature of building processes. This had resulted to design errors, omissions, inefficiencies, among other problems. Hence, Building Information Modeling integrates, and processes information throughout the entire life cycle of construction projects. Therefore, the aim of the study is to appraise the prevalence of BIM with a view to developing a framework for effective implementation of BIM to enhance effective delivery of building projects in Federal Universities in South-West, Nigeria. One hundred questionnaires were sent out and eighty two were returned and analyzed representing 82% rate of return. The study adopted mixed method; the population for the study includes the professionals within the physical planning units. The data collected were analyzed using both descriptive and inferential statistics; the descriptive statistics entails percentage, pie chart and bar chart while the inferential statistics includes Mean Item Score (MIS) and Relative Importance Index (RII). A framework and software programme was developed for Building Information Modeling for Public Use (BIMPU) for effective delivery of building projects. The hypotheses were tested using Pearson correlation and Mann-Whitney U Test on relationship between Traditional Method and BIM. The analyzed data showed that Design and engineering, Project planning, Construction project control, Finance and Accounting are the four BIM tools that are highly used for construction projects and AutoCAD Architecture, Auto-CAD Civil 3D, Archi-CAD and Auto-CAD MEP are the most frequently used BIM management tools for construction projects and the use of BIM approach for construction operation is more preferred than the use of traditional methods. The Pearson Correlation showed the mean value of traditional 2D as 13.81 with standard deviation of 15.61 while cost of implementation of BIM with mean value of 15.63 with standard deviation of 6.15, that r calculated (0.447) is greater than r tabulated (0.217) at 0.05 level of significance. The study concluded that the use of BIM tools will create collaboration and exchange of proper information among all stakeholders. The study recommended that the government and professional regulatory bodies should include the use of BIM software into the training curriculum of student professionals in order to enhance job production.