Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects

Sangdeok Lee, Yongwoon Cha, Sangwon Han and Changtaek Hyun
Additional contact information
Sangdeok Lee: Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea
Yongwoon Cha: Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea
Sangwon Han: Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea
Changtaek Hyun: Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea

Sustainability, 2019, vol. 11, issue 3, 1-14

Abstract: A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association rule mining (ARM) is used to quantify the interrelationships between defect causes, and social network analysis (SNA) is utilized to find out the most influential causes triggering generation of construction defects. The suggested approach was applied to 2949 defect instances in finishing work. Through this application, it was confirmed that the proposed approach can systematically identify and quantify causality among defect causes.

Keywords: causality; defect causes; association rule mining; social network analysis; finishing work (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/3/618/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/3/618/ (text/html)

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:gam:jsusta:v:11:y:2019:i:3:p:618-:d:200585

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().