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Anaysis for Public Bike Utilization Status of Seoul City

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2019, 14(6), pp.615-623
  • DOI : 10.34163/jkits.2019.14.6.004
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : October 8, 2019
  • Accepted : December 7, 2019
  • Published : December 31, 2019

Park Jang Woo 1 Cho Yong Yun 1

1순천대학교

Accredited

ABSTRACT

Bicycles have played a great role not only as eco-friendly transportation, but also as exercise equipments for leisure and health. Cities in many countries offer public bicycle sharing services to help solve the health and traffic jams of citizens and to solve environmental problems caused by automobiles. To serve the efficient bike sharing, the knowledge of the status of bike use will be necessary. We have analyzed the data set of public bicycle service in Seoul to determine the temporal and spatial characteristics of bicycle use status in Seoul. The travel time and the latitude and longitude of the bike rental place and return places were transformed into 50 clusters using K-means clustering method. Spartial and temporal characteristics have been obtained and visualized. We can know the bicycle retal and return status according to the location of the City of Seoul. In addition, these clusters were classified and visualized for year, such as date, day of the week, time, etc. From the analysis, we could show the bike use patterns of weekday and weekend. During the weekday, the bikes are being guessed to be used for commute devices and for working assistance. On weekends, bicycles are slowly increasing from morning to high, peaking around 6pm. It is confirmed that during the week, there are many short-distance uses, and on weekends various travel distance patterns were seen.

Citation status

* References for papers published after 2023 are currently being built.