Data analytics and big data in construction project and asset management / guest editors: Ajibade Aibinu, Fernando Koch and S. Thomas Ng.

Format:

Book

Author/Creator:

Aibinu, Ajibade

Contributor:

Aibinu, Ajibade, editor.

Koch, Fernando, editor.

Ng, S. Thomas, editor.

Series:

Built Environment Project and Asset Management ; Volume 9, Number 4

Language:

English

Subjects (All):

Big data.

Physical Description:

1 online resource (108 pages).

Edition:

1st ed.

Place of Publication:

[Place of publication not identified] : Emerald Publishing, [2019]

Summary:

The increasing adoption of digital technology and the rapid proliferation of data has spurred the application of data analytics and big data to drive smart project and asset management. We are likely to see the rise of new approaches to information management and data usage within the architecture, engineering and construction (AEC) sector. Transforming data and information into knowledge and intelligence would change the way projects and assets are managed and will facilitate optimal solutions across the sector. This eBook provides a forum to explore, develop and disseminate emerging concepts of data analytics and big data and their potential applications and opportunities in the AEC.

Contents:

Covers

Editorial boards

Guest editorial

Analyzing project data in BIM with descriptive analytics to improve project performance

BIM-linked data integration for asset management

Influence of Big Data in managing cyber assets

Driving forces for the US residential housing price: a predictive analysis

Critical analysis for big data studies in construction: significant gaps in knowledge

A systematic review of the applications of multi-criteria decision-making methods in site selection problems

Adoption of Big Data analytics in construction: development of a conceptual model.

Notes:

Description based on print version record.

ISBN:

1-83909-308-0