Work

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

Year: 2019

Type: article

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.

Source: Sustainability

DOI: 10.3390/su11030618

Authors: Sangdeok Lee, Yongwoon Cha, Sangwon Han, Changtaek Hyun

Institution: University of Seoul

Language: English

Topic: Construction Project Management and Performance

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,722

Funders: University of Seoul, National Research Foundation of Korea