The transportation sector was affected by the covid 19 pandemic all over the world. In this study, the relationship between the passenger density at high-speed train points and the spread of the covid 19 epidemic was examined. In addition, the temporal situation of the pandemic was examined by evaluating based on a year and month. In this context, high-speed train passenger movement is mathematically modelled using regression analysis. Strong relation between number of patient and number of passenger. As a result, it was observed that the number of patients increased as the number of passengers increased. In order to limit the epidemic, it may be recommended to increase measures especially in transportation centres.
Primary Language | English |
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Subjects | Civil Engineering |
Journal Section | Research Article |
Authors | |
Publication Date | June 30, 2022 |
Published in Issue | Year 2022 |
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