
BIM and Big Data for Construction Cost Management
Routledge (Publisher)
1st Edition
Published on 30. June 2021
Book
Paperback/Softback
178 pages
978-1-032-09459-5 (ISBN)
Description
This book is designed to help practitioners and students in a wide range of construction project management professions to understand what building information modelling (BIM) and big data could mean for them and how they should prepare to work successfully on BIM-compliant projects and maintain their competencies in this essential and expanding area.
In this book, the state-of-the-art information technologies that support high-profile BIM implementation are introduced, and case studies show how BIM has integrated core quantity surveying and cost management responsibilities and how big data can enable informed decision-making for cost control and cost planning. The authors' combined professional and academic experience demonstrates, with practical examples, the importance of using BIM and particularly the fusion of BIM and big data, to sharpen competitiveness in global and domestic markets.
This book is a highly valuable guide for people in a wide range of construction project management and quantity surveying roles. In addition, implications for project management, facilities management, contract administration, and dispute resolution are also explored through the case studies, making this book essential reading for built environment and engineering professionals.
In this book, the state-of-the-art information technologies that support high-profile BIM implementation are introduced, and case studies show how BIM has integrated core quantity surveying and cost management responsibilities and how big data can enable informed decision-making for cost control and cost planning. The authors' combined professional and academic experience demonstrates, with practical examples, the importance of using BIM and particularly the fusion of BIM and big data, to sharpen competitiveness in global and domestic markets.
This book is a highly valuable guide for people in a wide range of construction project management and quantity surveying roles. In addition, implications for project management, facilities management, contract administration, and dispute resolution are also explored through the case studies, making this book essential reading for built environment and engineering professionals.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic, Professional, and Professional Practice & Development
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 10 mm
Weight
284 gr
ISBN-13
978-1-032-09459-5 (9781032094595)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Weisheng Lu | Chi Cheung Lai | Tung Tse
BIM and Big Data for Construction Cost Management
Book
10/2018
1st Edition
Routledge
€132.00
Shipment within 15-20 days

Weisheng Lu | Chi Cheung Lai | Tung Tse
BIM and Big Data for Construction Cost Management
E-Book
10/2018
Routledge
€67.49
Available for download

Weisheng Lu | Chi Cheung Lai | Tung Tse
BIM and Big Data for Construction Cost Management
E-Book
10/2018
Routledge
€67.49
Available for download
Persons
Weisheng Lu is Associate Dean and Associate Professor, Department of Real Estate and Construction, Faculty of Architecture, Hong Kong University.
Chi Cheung Lai is a PRC Register Cost Engineer and Director at Northcroft Hong Kong Ltd.
Tung Tse PRC Register Cost Engineer at Northcroft Hong Kong Ltd.
Chi Cheung Lai is a PRC Register Cost Engineer and Director at Northcroft Hong Kong Ltd.
Tung Tse PRC Register Cost Engineer at Northcroft Hong Kong Ltd.
Content
1. Introduction
2. BIM theories and empirics
3. BIM implementation strategies
4. Adopting BIM in quantity surveying
5. Big data for cost management
6. Case projects
7. Current challenges
8. Recommendable best practice
9. The future of BIM in quantity surveying
10. Conclusion
2. BIM theories and empirics
3. BIM implementation strategies
4. Adopting BIM in quantity surveying
5. Big data for cost management
6. Case projects
7. Current challenges
8. Recommendable best practice
9. The future of BIM in quantity surveying
10. Conclusion