Project Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering significant benefits in project planning, design, construction, and management. This research investigates the implementation of BIM in Quantity Surveying for cost estimation and project management. The primary objective is to explore how BIM can enhance the efficiency and accuracy of cost estimation processes, as well as improve project management practices in quantity surveying. The research begins with a comprehensive review of the literature on BIM, Quantity Surveying, cost estimation, and project management, highlighting the existing gaps and opportunities for integrating BIM into quantity surveying practices. The study employs a mixed-methods approach, combining qualitative and quantitative research methods to gather data from industry professionals, including quantity surveyors, construction managers, and BIM specialists. The methodology chapter outlines the research design, data collection methods, sampling techniques, and data analysis procedures. By examining the benefits and challenges of implementing BIM in quantity surveying, the research aims to provide practical insights and recommendations for industry practitioners and stakeholders. The findings chapter presents the results of the data analysis, discussing the impact of BIM on cost estimation accuracy, project scheduling, collaboration, and decision-making processes in quantity surveying. Through in-depth discussions and analysis of the research findings, this study contributes to the body of knowledge on the integration of BIM in quantity surveying practices. The conclusion chapter summarizes the key findings, implications, and recommendations for future research and industry implementation. Overall, this research aims to promote the adoption of BIM technology in quantity surveying for improved cost estimation and project management practices.

Project Overview