Project Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering new opportunities for enhanced project coordination, visualization, and data management. This research explores the Application of Building Information Modeling (BIM) in Quantity Surveying for Construction Cost Estimation. The primary objective of this study is to investigate how BIM can be effectively utilized by quantity surveyors to improve the accuracy and efficiency of construction cost estimation processes. The research methodology involves a comprehensive literature review, case studies, and interviews with industry experts to gather insights and data on the integration of BIM into quantity surveying practices. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure, and definition of terms. Chapter Two consists of a detailed literature review covering ten key aspects related to BIM, quantity surveying, and construction cost estimation. This chapter synthesizes existing knowledge and identifies gaps in the current literature to guide the research investigation. Chapter Three outlines the research methodology, including the research design, data collection methods, sampling strategy, data analysis techniques, and ethical considerations. The chapter also discusses the selection of case studies and experts for interviews to gain practical insights into the implementation of BIM in quantity surveying for cost estimation. In Chapter Four, the findings of the research are presented and discussed in detail. The results highlight the benefits, challenges, and best practices of using BIM for construction cost estimation from the perspective of quantity surveyors. The chapter also explores the impact of BIM on project efficiency, accuracy, and collaboration among project stakeholders. Chapter Five concludes the research by summarizing the key findings, implications, and recommendations for future research and industry practice. The study underscores the potential of BIM as a valuable tool for quantity surveyors to enhance cost estimation processes and improve project outcomes. By embracing BIM technology and developing the necessary skills and knowledge, quantity surveyors can play a more strategic role in the construction industry and contribute to the successful delivery of projects. In conclusion, this research contributes to the growing body of knowledge on the integration of BIM in quantity surveying practices for construction cost estimation. The findings offer insights into the opportunities and challenges associated with this integration and provide practical recommendations for industry professionals and academics seeking to leverage BIM for enhanced cost estimation in construction projects.

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