Project Abstract

Abstract
This research explores the utilization of Building Information Modeling (BIM) in the field of Quantity Surveying, focusing specifically on the accuracy of cost estimation. BIM has gained significant attention in the construction industry due to its potential to improve project efficiency and collaboration. However, its application in Quantity Surveying, particularly in cost estimation, remains an area that requires further investigation. This study presents a case study approach to examine how BIM can enhance the accuracy of cost estimation in Quantity Surveying practices. The research begins with an introduction that provides an overview of BIM technology and its relevance to Quantity Surveying. The background of the study discusses the current challenges faced in cost estimation and the potential benefits of integrating BIM into Quantity Surveying processes. The problem statement highlights the gaps in existing research and the need to address the accuracy of cost estimation using BIM. The objectives of the study are to assess the impact of BIM on cost estimation accuracy, identify the key factors influencing cost estimation in Quantity Surveying, and develop recommendations for improving cost estimation practices through BIM integration. The limitations of the study and the scope of research are outlined to provide clarity on the boundaries and constraints of the investigation. The significance of the study lies in its contribution to enhancing cost estimation practices in Quantity Surveying through the adoption of BIM technology. By improving the accuracy of cost estimation, construction projects can benefit from better budgeting, resource allocation, and overall project management efficiency. The structure of the research is presented to guide the reader through the chapters and sections of the study, including the definition of key terms to establish a common understanding of concepts used throughout the research. Chapter Two presents a comprehensive literature review that explores existing research on BIM applications in Quantity Surveying, cost estimation methods, and the integration of technology in construction practices. The literature review consists of ten key themes that provide a theoretical framework for understanding the relationship between BIM and cost estimation accuracy. Chapter Three outlines the research methodology, including the research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The chapter includes eight components that detail the steps taken to conduct the case study and analyze the data collected. In Chapter Four, the findings of the case study are discussed in detail, highlighting the impact of BIM on cost estimation accuracy, the key factors influencing cost estimation practices, and the recommendations for improving cost estimation through BIM integration. The chapter consists of seven sections that present the results of the study and their implications for Quantity Surveying practices. Finally, Chapter Five concludes the research by summarizing the key findings, discussing the implications of the study, and providing recommendations for future research and practice. The conclusion reflects on the significance of the research in advancing cost estimation accuracy in Quantity Surveying through the utilization of BIM technology. In conclusion, this research contributes to the growing body of knowledge on the application of BIM in Quantity Surveying, specifically in improving cost estimation accuracy. By examining the case study of cost estimation practices, this study provides insights into the benefits and challenges of integrating BIM technology into Quantity Surveying processes. The findings of this research can inform practitioners, researchers, and industry stakeholders on the potential of BIM to enhance cost estimation practices and improve project outcomes in the construction industry.

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