Purpose: Public transport is one of the fields most affected by the Coronavirus pandemic which is of particular importance in the suburban areas due to daily transportation, as well as long trips and more dependence on public transport. Methods: The present study attempts to investigate pre-COVID-19 and post-COVID-19 spatial changes in the volume of passengers in the Mashhad suburban area. This area includes 240 villages, 268 thousand population, and 754 bus stations. In this case, the documents, from Mashhad Bus Organization, were studied, the descriptive data for the volume of public transport passengers were obtained for each station separately; at the same time, a location database was created. The studied periods included pre-COVID-19 (March 2019-February 2020), and post-COVID-19 (March 2020-September 2020). Pre-COVID-19 and post-COVID-19 spatial variances were specified using spatial and classic statistical methods. Results: The results indicated a significant difference between pre-COVID-19 and post-COVID-19 periods. On the other hand, the variances showed that, unlike other areas, in rural areas, far away from the west and northwest of Mashhad, the volume of post-Corona transportation has increased. A geographical regression model also indicated that among local factors, economic characteristics related to each village play the most significant role in explaining the changes; in some areas, it explains up to 63% of the changes. Conclusion: Considering the demographic and economic structure of these areas and their strong dependence on public transport, techniques such as shutdown or reducing working hours, will lead to segregation of these villages. It is proposed that such studies, with a focus on the spatial analyses of the occurred changes, may contribute to managing public transport in order to redesign this area

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