Early Prediction of Construction Disputes: Decision Support Systems with Machine Learning Techniques
TURKISH JOURNAL OF CIVIL ENGINEERING, vol.37, no.2, pp.105-136, 2026 (SCI-Expanded, Scopus, TRDizin)
- Publication Type: Article / Article
- Volume: 37 Issue: 2
- Publication Date: 2026
- Doi Number: 10.18400/tjce.1618975
- Journal Name: TURKISH JOURNAL OF CIVIL ENGINEERING
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Page Numbers: pp.105-136
- Erciyes University Affiliated: Yes
Abstract
This study aims to predict the outcomes of construction disputes before they proceed to litigation and to foster a constructive environment between parties. Within the scope of the study, a total of 24 legal factors; 14 legal factors were identified through extensive literature review and 10 legal factors were identified through content analysis. These legal factors were used in three stages: Pre-Litigation (A, B) and Post-Litigation. Legal factors with significant relationships were tested with 24 different machine learning algorithms. NB Tree, Logit Boost and LMT algorithms achieved 63.79%, 63.66% and 86.90% accuracy for models A, B and C, respectively.