Enhancing resilience in construction against infectious diseases using stochastic multi-agent approach.

ABSTRACT: To recover from the adverse impacts of COVID-19 on construction and to avoid further losses to the industry in future pandemics, the resilience of construction industry needs to be enhanced against infectious diseases. Currently, there is a gap for modelling frameworks to simulate the spread of infectious diseases in construction projects at micro-level and to test interventions' effectiveness for data-informed decision-making. Here, this gap is addressed by developing a simulation framework using stochastic agent-based modelling, which enables construction researchers and practitioners to simulate and limit the spread of infectious diseases in construction projects. This is specifically important, since the results of a building project case-study reveals that, in comparison to the genera

SUBMITTER: Gerami Seresht N 

PROVIDER: S-EPMC9091540 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature