Thesis Abstract

Abstract
Building Information Modelling (BIM) has emerged as a transformative technology in the construction industry, offering new ways to improve project efficiency and accuracy. This thesis investigates the application of BIM in Quantity Surveying for Construction Cost Estimation. The primary objective of this research is to explore how BIM can enhance the traditional quantity surveying processes and provide more accurate cost estimations in construction projects. The study begins with an examination of the background of BIM technology and its evolution in the construction industry. It highlights the significance of BIM in improving collaboration, data management, and decision-making processes throughout the project lifecycle. The problem statement identifies the current challenges faced by quantity surveyors in cost estimation and how BIM can address these challenges. The research objectives are outlined to guide the study towards achieving a comprehensive understanding of the benefits and limitations of integrating BIM in quantity surveying practices. A detailed literature review is conducted to explore existing studies, methodologies, and best practices related to BIM implementation in quantity surveying. The review covers ten key areas, including BIM technology, cost estimation methods, data interoperability, and collaboration in construction projects. The research methodology section outlines the approach taken to gather and analyze data, including data collection methods, tools, and techniques. Eight components are discussed, including data collection, data analysis, and validation methods. The findings of the study are presented in Chapter Four, where the impact of BIM on quantity surveying processes and cost estimation accuracy is thoroughly discussed. The results highlight the advantages of using BIM, such as improved collaboration, visualization, and data accuracy. The limitations and challenges encountered during the research are also addressed, providing insights into areas for further improvement and development. In conclusion, this thesis summarizes the key findings and contributions of the study towards advancing the integration of BIM in quantity surveying practices for construction cost estimation. The research demonstrates the potential of BIM to enhance cost estimation accuracy, streamline processes, and improve project outcomes. Recommendations for future research and practical implications for industry professionals are provided to support the continued adoption and utilization of BIM technology in quantity surveying practices.

Thesis Overview

The project titled "Application of Building Information Modelling (BIM) in Quantity Surveying for Construction Cost Estimation" aims to investigate the integration of Building Information Modelling (BIM) technology in the field of Quantity Surveying to improve accuracy and efficiency in construction cost estimation. BIM is a digital representation of physical and functional characteristics of a building, providing a collaborative platform for stakeholders to visualize, design, and manage construction projects. Quantity Surveying involves managing costs and budgets for construction projects, making accurate cost estimation crucial for project success. The research will begin by providing an overview of BIM technology and its applications in the construction industry. It will delve into the benefits of using BIM for Quantity Surveying, such as enhanced visualization, coordination, and data management capabilities. The project will also explore current challenges and limitations faced by Quantity Surveyors in traditional cost estimation methods and how BIM can address these issues. The study will include a thorough literature review to examine existing research and case studies on the integration of BIM in Quantity Surveying practices. This review will highlight successful implementations, best practices, and potential areas for improvement in utilizing BIM for construction cost estimation. Furthermore, the project will outline the research methodology, including data collection methods, tools, and analysis techniques to investigate the effectiveness of BIM in Quantity Surveying for cost estimation. It will involve case studies, surveys, and interviews with industry professionals to gather insights and feedback on the adoption of BIM in Quantity Surveying processes. The findings of the research will be presented in detail in the discussion section, analyzing the impact of BIM on improving accuracy, efficiency, and cost-effectiveness in construction cost estimation. This section will also address any challenges or limitations encountered during the research and propose recommendations for future implementation of BIM in Quantity Surveying practices. In conclusion, the project will summarize key findings, implications, and contributions to the field of Quantity Surveying through the application of BIM technology for construction cost estimation. The research aims to provide valuable insights for industry professionals, academics, and policymakers seeking to enhance cost estimation processes in construction projects using innovative digital technologies like BIM.