Work

Machine Learning–Based Predictive Model for Dispute Occurrence and Resolution Strategies in Pipeline Projects

Year: 2025

Type: article

Source: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction

DOI: 10.1061/jladah.ladr-1334

Authors: Saksham Timalsina, Chengyi Zhang, Ulrike Quapp, Sevilay Demirkesen, Ayoola Olorunnishola

Institutions: University of Wyoming, Vilnius Gediminas Technical University, Gebze Technical University

Language: English

Topic: Construction Project Management and Performance

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Peace, justice, and strong institutions, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4410406596

FWCI: 1.589

Cites: 52

Cited by: 2

Related to: 10