Application Analysis of Big Data in Construction Project Management
Gang Han ()
Additional contact information
Gang Han: Beijing Jiaotong University
A chapter in IEIS 2020, 2021, pp 285-296 from Springer
Abstract:
Abstract The era background of big data puts forward new requirements for construction project management. This article reviews the literature and analyzes the problems in the application of big data in construction project management. On this basis, this paper establishes the construction engineering safety evaluation index system, and uses the analytic hierarchy process and fuzzy comprehensive evaluation method to evaluate the construction engineering safety. Assuming enough data, this article attempts to use BP neural network to analyze its applicability to construction project management. Finally, this article puts forward suggestions to strengthen the application of big data.
Keywords: Big data; Construction engineering; Project management; Application (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-33-4363-4_22
Ordering information: This item can be ordered from
http://www.springer.com/9789813343634
DOI: 10.1007/978-981-33-4363-4_22
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().