Quantifying the evolutionary mechanism of COVID-19 impact on international construction multi-projects: a risk driver perspective
Engineering, Construction and Architectural Management
ISSN: 0969-9988
Article publication date: 1 March 2022
Issue publication date: 1 September 2023
Abstract
Purpose
The purpose of this paper is to quantify the evolutionary mechanism of coronavirus disease 2019 (COVID-19) impact on international construction multi-projects.
Design/methodology/approach
From three concepts of complexity, stressor and detractor risks, a multi-project simulation model under COVID-19 outbreak is proposed to study the characteristics of contingency with three peaks of ordered and disordered states. Specially, COVID-19 brings forth mitigation fee, epidemic prevention fee, holdup fee and schedule delay fee of multi-projects. By integrating parametric model, Monte Carlo and chaos theory, a comparative analysis of its contingency with or without COVID-19 is conducted. Summarizing the simulated results, their total contingencies at certain risk tolerance are obtained at two status of static at one-time point and dynamic over time. Meanwhile, some major risks including detractors, complexities and stressors are screened out for mitigation, especially for epidemic prevention and control. Eventually, the real case is illustrated to demonstrate its validity.
Findings
It provides a quantitative analysis framework for the impact of epidemic, a once-in-a-century black swan event with a long tail, on construction multi-projects.
Practical implications
It conduct an effective model to quantify impacts of COVID-19 on international construction multi-projects for implementing effective counter-measures, which lay foundation for claims among different stakeholders.
Originality/value
The term of detractor risk is applied to describe COVID-19 and quantify its impact upon international construction multi-projects. Further, a hybrid model by integrating parametric model and Monte Carlo in type I/II model is proposed to simulate their contingencies at disordered states. Finally, the simulated outcomes of these models are used to guide effective risk control to meet the requirements by the client.
Keywords
Acknowledgements
Funding: Financial support from the National Social Science Foundation of China (Grant nos. 19BGL005) are gratefully acknowledged.
Citation
Jin, F., Xiang, W., Ji, Z. and Zhang, B. (2023), "Quantifying the evolutionary mechanism of COVID-19 impact on international construction multi-projects: a risk driver perspective", Engineering, Construction and Architectural Management, Vol. 30 No. 8, pp. 3602-3619. https://doi.org/10.1108/ECAM-10-2021-0887
Publisher
:Emerald Publishing Limited
Copyright © 2022, Emerald Publishing Limited