Browsing by Author "Aydoğan, Sena"

Now showing 1 - 1 of 1

Dilsel Özetleme ile Kentsel Hareketlilik Kalıpları: Bisiklet Verilerinden İçgörüler
(2023) Aydoğan, Sena; Akay, Diyar; Fidan, Fatma Şener
This study examined how urban mobility patterns might be analyzed using linguistic summarization, one of the descriptive data analytics tools. The paper focused on urban bicycle-sharing system data, a rich source of knowledge for comprehending urban mobility patterns. The study used a dataset with several variables: day, hour, station, and user type. The data was turned into linguistic descriptions that offer valuable insights into urban mobility through the strength of the fuzzy set. The analysis of travel patterns included identifying busy stations at various times of the day, user segment preferences (students vs. non-students), and changes in general mobility. The results of the linguistic summarization of the urban cycling data allowed for a more thorough knowledge of urban travel patterns. Urban planners, decision-makers, and transportation authorities may optimize the city's current infrastructure, increase accessibility, and meet its residents' wide range of needs thanks to the results that shed light on the dynamics of urban mobility. The study showed how practical descriptive data analytics can be in revealing information, mainly when used to examine travel patterns utilizing information from urban bicycles.