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http://dx.doi.org/10.36498/kbigdt.2022.7.2.235

Comparison of Micro Mobility Patterns of Public Bicycles Before and After the Pandemic: A Case Study in Seoul  

Jae-Hee Cho (광운대학교 정보융합학부)
Ga-Eun Baek (플랜인피닛 연구소)
Il-Jung Seo (경기대학교 ICT융합학부)
Publication Information
The Journal of Bigdata / v.7, no.2, 2022 , pp. 235-244 More about this Journal
Abstract
The rental history data of public bicycles in Seoul were analyzed to examine how pandemic phenomena such as COVID-19 caused changes in people's micro mobility. Data for 2019 and 2021 were compared and analyzed by dividing them before and after COVID-19. Data were collected from public data portal sites, and data marts were created for in-depth analysis. In order to compare the changes in the two periods, the riding direction type dimension and the rental station type dimension were added, and the derived variables (rotation rate per unit, riding speed) were newly created. There is no significant difference in the average rental time before and after COVID-19, but the average rental distance and average usage speed decreased. Even in the mobility of Ttareungi, you can see the slow rhythm of daily life. On weekdays, the usage rate was the highest during commuting hours even before COVID-19, but it increased rapidly after COVID-19. It can be interpreted that people who are concerned about infection prefer Ttareungi to village buses as a means of micro-mobility. The results of data mart-based visualization and analysis proposed in this study will be able to provide insight into public bicycle operation and policy development. In future studies, it is necessary to combine SNS data such as Twitter and Instagram with public bicycle rental history data. It is expected that the value of related research can be improved by examining the behavior of bike users in various places.
Keywords
Micro Mobility; Public Bicycle Sharing System; Pandemic; Origin-Destination Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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