Mobility Pattern Analysis using CDR: A Case Study of Estonian Public Holidays in January & February

dc.contributor.advisorSharma, Rajesh, juhendaja
dc.contributor.advisorAasa, Anto, juhendaja
dc.contributor.advisorGoel, Rahul, juhendaja
dc.contributor.authorKoldekivi, Laura Liisa
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2023-10-30T08:04:22Z
dc.date.available2023-10-30T08:04:22Z
dc.date.issued2023
dc.description.abstractWith 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.et
dc.identifier.urihttps://hdl.handle.net/10062/93822
dc.language.isoenget
dc.publisherTartu Ülikoolet
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCDRet
dc.subjectMobility Analysiset
dc.subjectHoliday Calling Patternset
dc.subjectMobility across Municipalitieset
dc.subjectMobility across Countieset
dc.subject.otherbakalaureusetöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticset
dc.subject.otherinfotechnologyet
dc.titleMobility Pattern Analysis using CDR: A Case Study of Estonian Public Holidays in January & Februaryet
dc.typeThesiset

Failid

Originaal pakett

Nüüd näidatakse 1 - 1 1
Laen...
Pisipilt
Nimi:
Koldekivi_informaatika_BSc_2023.pdf
Suurus:
5.33 MB
Formaat:
Adobe Portable Document Format
Kirjeldus:

Litsentsi pakett

Nüüd näidatakse 1 - 1 1
Pisipilt ei ole saadaval
Nimi:
license.txt
Suurus:
1.71 KB
Formaat:
Item-specific license agreed upon to submission
Kirjeldus: