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

PA기법을 활용한 건설분쟁 예측모델 개발에 관한 연구 - 의사결정나무를 중심으로 -

  • Jang, Se Rim (Department of Architecture, Sejong University) ;
  • Kim, Han Soo (Department of Architecture, Sejong University)
  • Received : 2021.10.10
  • Accepted : 2021.10.20
  • Published : 2021.11.30

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.

건설공사에는 다양한 이해관계자들이 참여하며, 리스크와 클레임 및 분쟁이 발생할 수 있는 가능성이 높다. 분쟁은 비용과 시간의 손실을 발생시키기 때문에, 건설사 입장에서는 건설공사를 효율적으로 관리하고 수익성을 높이기 위해 건설분쟁을 사전에 예측하고 선제적으로 대응하는 것이 중요한 현안이다. 본 연구의 목적은 건설공사 조건에 따라 발생하는 분쟁의 유형과 분쟁유형별 발생확률을 예측할 수 있는 의사결정나무 기반의 건설분쟁 예측모델을 구축하는데 있다. 이는 분쟁을 사전에 예측하고 선제적으로 대응할 수 있는 기회를 제공한다는 측면에서 유용하게 활용될 수 있다.

Keywords

Acknowledgement

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2020R1F1A1068593).

References

  1. 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.
  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. Eckerson, W.W. (2007). Entending the Value of Your Data Warehousing Investment, TDWI Best Practices Report.
  4. 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.
  5. 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. https://doi.org/10.12652/Ksce.2014.34.4.1269
  6. 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.
  7. 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.
  8. 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. https://doi.org/10.6106/KJCEM.2016.17.5.035
  9. 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.
  10. 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. https://doi.org/10.21086/ksles.2015.06.22.3.460
  11. 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.
  12. 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. https://doi.org/10.51979/KSSLS.2015.05.60.633
  13. Korea Research Institute for Construction Policy (RICON) (2020). Analysis and Implications of Construction Claim, Korea Research Institute for Construction Policy.
  14. Korean Commercial Arbitration Board (KCAB) (2021). 2020 Claim Statistics, Korean Commercial Arbitration Board.
  15. 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. https://doi.org/10.23036/KAPAE.2019.29.4.009
  16. 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.
  17. 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. https://doi.org/10.5659/JAIK_SC.2016.32.5.37
  18. 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. https://doi.org/10.21509/kjys.2017.04.24.4.1
  19. 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.
  20. 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. https://doi.org/10.4040/jkan.2013.43.1.1
  21. Park, S.H., Kim, S.S., and Hwang, N.R. (2011). Understanding and Utilization of Advanced SPSS, Hannarae.
  22. 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. https://doi.org/10.6106/KJCEM.2011.12.1.13
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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. https://doi.org/10.1111/jbl.12024
  28. 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.
  29. 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.