Bibliometric Analysis for Modeling in Construction Risk Management: A Literature Review

Abstract

Effective risk management and appropriate planning are essential for the success of construction projects. To gain insights into research on risk management, a collection of 284 scholarly references—including 222 journal articles, 36 conference papers, 21 books, 1 doctoral dissertation, 2 master's theses, and 2 patents—published between 2000 and 2024 were reviewed. Through extensive searches in databases, search engines, and comprehensive systems, articles related to risk management in the construction sector were identified and selected for analysis. Findings indicate that while traditional approaches such as Work Breakdown Structure (WBS), regional approaches, and equilibrium methods are still in use, mathematical models based on optimization have garnered more attention due to their higher efficiency and effectiveness in selecting appropriate risk responses in the construction industry. In this model, multi-objective optimization considers not only time, cost, and quality but also plan resilience and resource fluctuation control. Unlike previous methods, for the first time, plan resilience and resource fluctuation control are addressed in the context of optimization. Additionally, the simultaneous identification and assessment of influential and affected risks, as well as synchronized responses that create synergy in risk management, are incorporated into the model. This model, applied in large-scale and high-rise construction projects, introduces an innovative aspect that enhances project performance by balancing critical objectives.​