Risk Propagation Model and Simulation of Schedule Change in Construction Projects: A Complex Network Approach

Abstract

Construction schedules play an important role in construction project management. However, during construction activities, risks may arise due to unexpected schedule changes, resulting in the ineffective delivery of projects. This study aims to reveal the law of schedule change risk propagation and to analyze the effects on the risk propagation through numerical simulations. First, construction projects are represented by activity-on-node (AON) networks. A model of risk propagation is then built based on a susceptible-infected (SI) model considering the effects of the nodal characteristics on the propagation process. Next, the model is tested on a real-world project to examine cascading failures with varying parameters. The experimental results demonstrate that the model is effective in identifying the activities most capable of affecting a project schedule and evaluating the impact of schedule change risk propagation. This study will provide a basis for enhancing the robustness of AON networks and controlling the propagation of schedule change risks.

Modeling of Project Portfolio Risk Evolution and Response under the Influence of Interactions

“…A network is a common way of dissecting complex relationships between individuals. Some scholars have introduced complex networks to analyze risks in project risk management, such as risk propagation [22,[26][27][28] and risk evolution [29,30]. The PPR evolution network (PPREN) is essentially an interactive network driven by project interactions [17].…”