Modeling the Optimal Capacity of Tehran’s Imam Khomeini Subway Station for Minimizing the Spread of Infectious Respiratory Diseases

Abstract

The main goal of this study is to provide a model to determine the optimal capacity of the metro station with the aim of minimizing the incidence of infectious diseases.  At first, the studied area of ​​Imam Khomeini metro station in Tehran was investigated.  After collecting the information, effective demand indicators and statistics of the years before Corona, as well as structural observations during the outbreak of Corona, were identified and their information was reviewed.  After confirming the reliability and validity, the factor analysis was evaluated and classified and prioritized in the conditions of Corona.  According to the results of the factor analysis in order to categorize and reduce the variables in connection with the model for determining the optimal capacity of this station in the conditions of Covid, the most important of them are: sample percentage.  Number of employees per day, people's access to metro by taxi, percentage of car owners, percentage of business and service trips, average income, percentage of office trips and crowding index on footpaths with respect to social distance with more important priority in factor analysis in measuring optimal capacity.  Metro station was measured.