Orta Ölçekli Bir Kentte Covid-19 Hasta ve Aşılama Sayısının Toplu Taşıma Kullanıcı Sayısına Etkisinin İncelenmesi: Tekirdağ, Süleymanpaşa Örneği.

The Covid-19 outbreak, which caused the world to go out of the usual order and deeply affected the world, caused many people to contract the Sars-CoV-2 virus and even lost their lives due to this virus. The fact that a virus that threatens human life spreads faster in densely populated areas such as cities has brought along many measures. Measures such as imposing a person limit on public transportation systems, which have an essential share in enabling urbanites to participate in socio-cultural activities on their compulsory journeys, abandoning the current working system in all public/private institutions and switching to flexible, remote or rotational working systems have been implemented. These measures, implemented to break the spread of the virus, have moved the daily routine of the urbanites between four walls and restricted their mobility. Within the scope of this study, the attitude of the city dwellers towards the public transportation system and vaccination efforts against the pandemic during the pandemic period was examined with a case study. In this study conducted in the context of Süleymanpaşa, the central district of Tekirdağ, public transit passenger data, Covid-19 patient count data and vaccination data between January 2021 and December 2021 were used. In this framework, a prediction model was developed with the Least Squares Method for a medium-sized city. In the model developed against future pandemics, the impact of the number of patients and vaccination on public transportation use was revealed. In addition to the effect of the number of patients on the public transportation system, an original contribution to the existing literature is presented by including vaccination as an input to the model. [ABSTRACT FROM AUTHOR]