Building Information Modelling (BIM) for Quantity take – off and Visualization of Building Construction Projects in Akwa Ibom State, Nigeria

Abstract

This study aimed to investigate the extent to which Building Information Modelling (BIM) is applied for quantity take-off and visualization of building construction projects in Akwa Ibom State. In line with the specific purposes of the study, two research questions and two hypotheses guided the study. The study employed a descriptive survey research design. The population of the study was 401 building construction practitioners in Akwa Ibom State with a sample size of 114, drawn using cluster and simple random sampling techniques. The instrument for data collection was a structured questionnaire titled ‘Building Information Modelling for Quantity take-off and Visualization Questionnaire (BIMQVQ)’ which contained a total of 40 items built in two clusters to address the research questions. The instrument was validated by three experts, two in the Department of Industrial Technology Education (Building technology option) and one in the Department of Measurement and Evaluation, all from the University of Uyo, Uyo. The reliability of the instrument was determined by trial testing the instrument on twenty (20) practitioners in the building industry in Akwa Ibom State who were not part of the Study. The Cronbach Alpha procedure was used to compute the estimate of internal consistency of the instrument and yielded the reliability coefficient of 0.85. Some questionnaires administered were retrieved on the spot while some were retrieved a day after with the help of three research assistants. The data collected were analysed using descriptive and inferential statistics. The Mean and Standard Deviation were used to answer the research questions, while one sample t – test was used in testing the hypotheses at 0.05 level of significance. Findings revealed that the extent of application of BIM in quantity take – off and visualisation of building construction projects in Akwa Ibom State is low and not significant