Application of Building Information Modeling (BIM) in Quantity Surveying Practices

Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, revolutionizing the way projects are planned, designed, constructed, and managed. This thesis explores the application of BIM in Quantity Surveying practices, aiming to investigate the benefits, challenges, and opportunities associated with its implementation. The research methodology includes a comprehensive literature review, case studies, and surveys to gather insights from industry professionals and academic experts. Chapter One provides an introduction to the research topic, presenting the background, problem statement, objectives, limitations, scope, significance, structure, and key definitions. Chapter Two comprises a detailed literature review covering ten key aspects related to BIM in Quantity Surveying practices. The review delves into topics such as BIM technology, its evolution, benefits, challenges, implementation strategies, and its impact on traditional Quantity Surveying processes. Chapter Three outlines the research methodology, including research design, data collection methods, sampling techniques, and data analysis procedures. The chapter also discusses ethical considerations and limitations encountered during the research process. Chapter Four presents a thorough discussion of the findings obtained from the literature review, case studies, and surveys. The analysis includes insights into the current practices, challenges faced by Quantity Surveyors when adopting BIM, and the potential solutions to overcome these challenges. In conclusion, Chapter Five summarizes the key findings of the research, highlighting the significance of BIM in enhancing Quantity Surveying practices. The thesis concludes with recommendations for industry professionals, educational institutions, and policymakers to promote the widespread adoption of BIM in Quantity Surveying practices. Overall, this research contributes to the growing body of knowledge on the application of BIM in Quantity Surveying, providing insights that can drive innovation and efficiency in the construction industry.