Utilization of Building Information Modeling (BIM) in Quantity Surveying for Improved Cost Estimation and Project Management

Thesis Abstract

Abstract
Building Information Modeling (BIM) has revolutionized the field of Quantity Surveying by providing advanced tools and methodologies for cost estimation and project management. This thesis explores the utilization of BIM in Quantity Surveying to enhance cost estimation accuracy and streamline project management processes. The study investigates the benefits, challenges, and implications of integrating BIM technologies in the Quantity Surveying discipline. Through an extensive literature review, the research identifies key factors influencing the successful implementation of BIM in Quantity Surveying practices. The research methodology involves a combination of quantitative and qualitative approaches, including surveys, interviews, and case studies, to gather data from industry professionals, academics, and BIM practitioners. The findings reveal the significant impact of BIM on improving cost estimation accuracy, project planning efficiency, and overall project performance in Quantity Surveying. The discussion delves into the practical implications of integrating BIM in Quantity Surveying processes, highlighting the potential for enhanced collaboration, data interoperability, and decision-making. The study concludes with a comprehensive summary of key findings, implications for practice, and recommendations for future research and industry adoption of BIM in Quantity Surveying. This thesis contributes to the growing body of knowledge on the application of BIM in Quantity Surveying and provides valuable insights for practitioners, researchers, and stakeholders seeking to leverage BIM technologies for improved cost estimation and project management in the construction industry.