Document Type : Research Paper
Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran
Industrial Engineering Department, K. N. Toosi University of Technology, Tehran, Iran
Industrial Engineering department, K.N. Toosi University of Technology, Tehran, Iran.
Human Science Department, Islamic Azad University, Tehran North Branch, Tehran, Iran
Metro is one of the most important urban transportation system in Tehran. Before the pandemic, almost two million trips were made by metro daily. A crowded metro is one of the most important sources of the outbreak. In this paper, a discrete event model is introduced to simulate the spread of the COVID-19 in the Tehran metro. Three types of passengers are defined: Healthy passengers and infected passengers with acute conditions and not acute conditions. Two important ways of preventing virus transmission are self-protection (e,g, wearing the mask) and social distancing. Different scenarios of social distancing and self-protection are surveyed based on multiple replications of the proposed model. Results of the simulation showed that noncompliance with social distancing has an exponentially negative effect on the number of infected passengers. In addition, the compliance of infected passengers with the social distancing and self-protection tips is almost twice important than the compliance of healthy passengers.