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http://dx.doi.org/10.6106/KJCEM.2021.22.6.076

A Study on the Development of Construction Dispute Predictive Analytics Model - Based on Decision Tree -  

Jang, Se Rim (Department of Architecture, Sejong University)
Kim, Han Soo (Department of Architecture, Sejong University)
Publication Information
Korean Journal of Construction Engineering and Management / v.22, no.6, 2021 , pp. 76-86 More about this Journal
Abstract
Construction projects have high potentials of claims and disputes due to inherent risks where a variety of stakeholders are involved. Since disputes could cause losses in terms of cost and time, it is a critical issue for contractors to forecast and pro-actively manage disputes in advance in order to secure project efficiency and higher profits. The objective of the study is to develop a decision tree-based predictive analytics model for forecasting dispute types and their probabilities according to construction project conditions. It can be a useful tool to forecast potential disputes and thus provide opportunities for proactive management.
Keywords
Construction Dispute; Construction Claim; Predictive Analytics Model; Predictive Analytics; Decision Tree Model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Lee, J.H., Yi, J.S., and Son, J.W. (2016). "Unstructured Construction Data Analytics Using R Programming: Focused on Overseas Construction Adjudication Cases." Journal of the Architectural Institute of Korea Structure & Construction, AIK, 32(5), pp. 37-44.   DOI
2 Choi, Y.C. (2019). "Analysing Multiple Combinations of the Conditions Affecting Local Residents' Life Satisfaction: Application of Decision Tree Analysis Method." Korean Journal of Local Government & Administration Studies, Korean Association for Local Government & Administration Studies, 33(1), pp. 1-27.
3 Jeong, Y.H., and Choi, Y.W. (2014). "A Study on the Analysis of Urban Highways Traffic Accident's Impact Factors Based on Building Discriminant Models: In Busan Metropolitan City." Journal of the Korean Society of Civil Engineers, KSCE, 34(4), pp. 1269-1278.   DOI
4 Kim, J.H., Im, H.K., and Choi, J.H. (2016). "Forecasting the Effects of the Claims in the Korean Construction Industry." Korean Journal of Construction Engineering and Management, KICEM, 17(8), pp. 35-45.   DOI
5 Kim, S.K., and Oh, C.H. (2018). "Comparison of Data Collection Methods for Big Data Analysis." Proceeding of the Korea Institute of information and Communication Engineering, Korea Institute of information and Communication Engineering, pp. 422-424.
6 Korean Commercial Arbitration Board (KCAB) (2021). 2020 Claim Statistics, Korean Commercial Arbitration Board.
7 Park, M.H., Choi, S.R., Shin, A.M., and Koo, C.H. (2013). "Analysis of the Characteristics of the Older Adults with Depression Using Data Mining Decision Tree Analysis." Journal of Korean Academy of Nursing, KSNS, 43(1), pp. 1-10.   DOI
8 Son, Y.J., and Kim, H.D. (2012). "Forecasting Export & Import Container Cargoes using a Decision Tree Analysis." Journal of Korea Port Economic Association, KPEA, 28(4), pp. 193-207.
9 Sung, N.W., Kim, Y.S., Lee, M.Y., and Lee, J.S. (2006). "The Development of a Web-Based Decision Support System for Construction Claim Management." Journal of the Korean Society of Civil Engineers, KSCE, 26(1D), pp. 115-224.
10 Yun, D.J., Yun, J.S., and Paek, J.H. (2003). "A Prediction Model of Construction Claims in Turn-Key Construction Projects." Proceeding of the Architectural Institute of Korea, AIK, 23(1), pp. 335-339.
11 You, H.J. (2019). "Prediction Model using Decision Tree Analysis on Revisiting of Japanese Tourists in Korea." Journal of Product Research, KACST, 37(1), pp.21-30.
12 Ngo, J., Hwang, B.G., and Zhang, C. (2020). "FactorBased Big Data and Predictive Analytics Capability Assessment Toll for the Construction Industry." Journal of Automation in Construction, Elsevier, 110, 103042, pp. 1-12.
13 Park, S.H., Kim, S.S., and Hwang, N.R. (2011). Understanding and Utilization of Advanced SPSS, Hannarae.
14 Shin, C.J., Kim, Y.K., Cho, K.M., and Hong, T.H. (2011). "Development of Checklist to Prevent Claim through Dispute Case Analysis of Public Construction Projects." Korean Journal of Construction Engineering and Management, KICEM, 12(1), pp. 13-22.   DOI
15 Song, Y.S., Cho, Y.C., Seo, Y.S., and Ahn, S.R. (2009). "Development and its Application of Computer Program for Slope Hazards Prediction using Decision Tree Model." Journal of Civil and Environmental Engineering Research, KSCE, 29(2c), pp. 59-69.
16 Waller, M.A., and Fawcett, S.E. (2013). "Click Here for a Data Scientist: Big Data, Predictive Analytics, and Theory Development in the Era of a Maker Movement Supply Chain." Journal of Business Logistics, Business Logistics, 34(4), pp. 249-252.   DOI
17 Jung, G.H. (2010). A Study of Foresight Method based on Textmining and Complexity Network Analysis, KISTEP Research Report, Korea Institute of Science and Technology Evaluation and Planning.
18 Choi, J.H., Han, S.T., Gang, H.C., Kim, E.S., Kim, M.K., and Lee, S.G. (2003). Prediction and Utilization of Data Mining, Hannarae.
19 Eckerson, W.W. (2007). Entending the Value of Your Data Warehousing Investment, TDWI Best Practices Report.
20 Jeong, C.W., and Kim, J.J. (2012). "Analysis of Foresight Keywords in Construction using Complexity Network Method." Journal of the Korean Digital Architecture Interior Association, KDAI, 12(2), pp. 15-23.
21 Kim, G. (2002). "Decision Tree Analysis on the Political Perceptions of Work Outcome Factors in Local Government." Korean Society And Public Administration, SAPA, 13(2), pp. 65-87.
22 Kim, M.H., Kim, S.H., and Ock, C.M. (2015). "A Predictive Model of Problem Drinking of Workers using Decision Tree Analysis." Journal of Korean Society of Living Environmental System, KSLES, 22(3), pp. 460-468.   DOI
23 Koo, K.M., and Kim, C.J. (2015). "Analysis on Participation Factors for Physical Activity of People with Brain Lesion by Using Decision Tree Analysis." Journal of Sport and Leisure Studies, Korean Society of Sport and Leisure Studies, 60, pp. 633-643.   DOI
24 Korea Research Institute for Construction Policy (RICON) (2020). Analysis and Implications of Construction Claim, Korea Research Institute for Construction Policy.
25 Lee, J.H., and Kim, G.T. (2019). "Optimal Splitting and Pruning Option in Decision Tree Classification." Asiapacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Convergent Research Society Among Humanities, Sociology, Science and Technology, 9(5), pp. 907-914.
26 Lee. S.K., and Lee, Y.J. (2017). "An Analysis of Annual Changes on the Determining Factors Multicultural Acceptability for Using Data Mining." Korean Journal of Youth Studies, KYRA, 24(4), pp. 1-26.   DOI
27 Kim, J.S., and Lee, J.S. (2005). "Improvement Plan for Domestic Construction Claims & Disputes Resolution Process: Focused on the Construction Bonds." Korean Journal of Construction Engineering and Management, KICEM, 6(4), pp. 181-190.
28 Sung, K.W., You, H.M., and Kim J.W. (2014). "The Study of Optimal Combination and Impact Analysis Using Decision Tree Analysis." Proceeding of the Korean Society of Automotive Engineers Conference, KSAE, pp. 493-497.
29 Lee, D.S., Kim, K.M., Moon, S.H., and Kwon, G.H. (2019). "Analysis of Influence Factors of Internet, Smart phone addiction Prevention Education: Focusing on Decision Tree Analysis." Korean Journal of Policy Analysis and Evaluation, Korean Association For Policy Analysis And Evaluation, 29(4), pp. 241-270.   DOI