Project Abstract

Abstract
Building Information Modeling (BIM) is revolutionizing the construction industry by providing a digital representation of physical and functional characteristics of a building. In the field of Quantity Surveying, BIM has the potential to enhance cost estimation accuracy by leveraging its advanced features for better project planning and management. This research aims to investigate the application of BIM in Quantity Surveying and its impact on cost estimation accuracy through a comprehensive case study. The study begins with an introduction to BIM technology and its significance in the construction industry. It explores the background of the study, highlighting the growing importance of accurate cost estimation in construction projects. The problem statement emphasizes the challenges faced by Quantity Surveyors in traditional cost estimation methods and the potential benefits of adopting BIM technology. The objectives of the study are to assess the effectiveness of BIM in improving cost estimation accuracy, identify the key factors influencing cost estimation using BIM, and analyze the limitations and challenges associated with its implementation. The scope of the study focuses on a specific case study where BIM will be applied to a real-world construction project to evaluate its impact on cost estimation accuracy. The research methodology involves a mixed-method approach, combining qualitative and quantitative data collection methods. The study includes literature review to explore existing research on BIM in Quantity Surveying, interviews with industry experts to gather insights on practical implementation, and case study analysis to evaluate the actual cost estimation accuracy using BIM. Findings from the research reveal that BIM can significantly enhance cost estimation accuracy by providing a collaborative platform for stakeholders to work together in real-time, improving data accuracy and reducing errors. Key factors influencing cost estimation using BIM include the level of BIM adoption, quality of input data, and the skills and training of Quantity Surveyors in utilizing BIM tools effectively. The discussion of findings delves into the implications of the research results, highlighting the benefits of BIM in Quantity Surveying and addressing the challenges and limitations faced during the implementation process. The study concludes with recommendations for further research and practical implications for industry professionals looking to enhance cost estimation accuracy using BIM technology. In conclusion, this research contributes to the growing body of knowledge on the application of BIM in Quantity Surveying and its impact on cost estimation accuracy. By exploring a real-world case study, this study provides valuable insights for practitioners, researchers, and industry stakeholders seeking to leverage BIM technology for improved project outcomes and cost efficiency in the construction industry.

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