Sharma, Rajesh, juhendajaAasa, Anto, juhendajaGoel, Rahul, juhendajaKoldekivi, Laura LiisaTartu Ülikool. Loodus- ja täppisteaduste valdkondTartu Ülikool. Arvutiteaduse instituut2023-10-302023-10-302023https://hdl.handle.net/10062/93822With the rise of globalization and the growth of urban populations, mobility patterns have become a key factor in shaping our cities and communities. This study explores people’s mobility patterns during public holidays in Estonia using Call Data Records (CDR) data. Specifically, the study investigates mobility patterns at three different location levels: top locations, home municipality, and home county. The CDR dataset used in this study contains approximately 56M records and 499K distinct callers during January and February of 2018. The results indicate a correlation between public holidays and mobility patterns at all three location levels. People are less likely to stay in their top locations on both holidays, particularly in densely populated urban cities of Estonia, such as Tallinn, Tartu, and Pärnu. Additionally, people tend to spend their holidays in another municipality, with Hiiumaa island residents exhibiting the highest mobility and Ida-Viru County showing the most significant difference in mobility between the two holidays. The study also found that on a county level, people are more likely to deviate from their usual routines on New Year’s Day than on Independence Day. Overall, the results suggest that New Year’s Day alters mobility patterns more than Independence Day and the average mobility. These results are beneficial for urban planning and resource allocation during the holidays.engopenAccessAttribution-NonCommercial-NoDerivatives 4.0 InternationalCDRMobility AnalysisHoliday Calling PatternsMobility across MunicipalitiesMobility across CountiesbakalaureusetöödinformaatikainfotehnoloogiainformaticsinfotechnologyThesis