DOI QR코드

DOI QR Code

Efficient Utilization of Public Bicycle Stations

공영자전거 스테이션의 효율적 활용 방안에 관한 연구

  • Received : 2021.08.18
  • Accepted : 2021.09.13
  • Published : 2022.02.01

Abstract

Public bicycles are a representative eco-friendly transportation means that can reduce carbon emissions and play an important role in first/last mile mobility and that can be linked to public transportation in the future MaaS era. In 2008, Changwon City started operating donor bicycles for the first time in Korea. However, as the infrastructure of public bicycles has expanded without a theoretical basis for over 10 years, operating costs are increasing due to a decrease in operational efficiency, which makes it difficult to quantitatively expand the service. In this study, a method for calculating the number of stands suitable for the use of public bicycles was presented, and an efficiency index was developed to evaluate the efficiency of public bicycle infrastructure. The method presented in this study was found by examining the relationship between numbers of rentals and returns of public bicycles and the number of bicycle holders. It is expected that the results can be used by other local governments.

공영자전거는 대표적인 친환경 교통수단으로서 탄소배출을 감소시키고 향후 MaaS 시대에 버스나 도시철도와 같은 대중교통 수단과 연계할 수 있는 First/Last mile mobility로서 중요한 역할을 수행할 수 있을 것으로 여겨지는 교통수단으로서, 국내에서는 2008년 창원시가 최초로 도입하여 운영을 시작했다. 그러나, 10여년 간 이론적 근거 없이 공영자전거의 인프라가 확장되면서 효율성 저하로 운영비가 증가하고 있으며, 이로 인해 서비스의 양적확장이 어려운 상황이다. 본 연구에서는 공영자전거의 이용량에 적합한 거치대수 산정 방안을 제시하고, 공영자전거 인프라의 효율성을 평가할 수 있는 효율성 지수를 개발하였다. 본 연구에서 제시한 방법은 공영자전거의 대여량 및 반납량과 거치대수와의 관계 규명을 통해 찾아낸 일반론적인 방법으로서 타 지자체에서도 충분히 활용 가능할 것이라 판단되며, 향후 공영자전거의 효율성 향상과 공영자전거의 인프라 확대로 이어질 수 있기를 기대한다.

Keywords

Acknowledgement

이 논문은 부산대학교 기본연구 지원사업(2년)에 의하여 연구되었음.

References

  1. Borgnat, P., Abry, P., Flandrin, P., Robardet, C., Rouquier, J. B. and Fleury, E. (2011). "Shared bicycles in a city: A signal processing and data analysis perspective." Advances in Complex Systems, Vol. 14, No. 3, pp. 415-438. DOI: https://doi.org/10.1142/S0219525911002950.
  2. Do, M. S. and Noh, Y. S. (2014). "Analysis of the affecting factors on the bike-sharing demand focused on Daejeon City." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 34, No. 5, pp. 1517-1524. DOI: https://doi.org/10.12652/Ksce.2014.34.5.1517.
  3. Efthymiou, D., Antoniou, C. and Waddell, P. (2013). "Factors affecting the adoption of vehicle sharing systems by young drivers." Transport Policy, Vol. 29, pp. 64-73. https://doi.org/10.1016/j.tranpol.2013.04.009
  4. Jeong, H. Y., Lee, T. H., Kim, J. K., Kim, O. J. and Kim, C. Y. (2021). "A dynamic relocation routing model for mitigating the hot-spot congestion of public bike: A case of Nubija in Changwon city." The Korean Data and Information Science Society, Vol. 32, No. 1, pp. 75-95. DOI: https://doi.org/10.1016/j.tranpol.2013.04.009.
  5. Kim, S. H. and Lee, N. I. (2020). "A study on the satisfaction differences in dockless bike in Suwon city." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 40, No. 2, pp. 157-166. DOI: https://doi.org/10.12652/Ksce.2020.40.2.0157.
  6. Kim, S. Y., Lee, K. H. and Ko, E. J. (2021). "An analysis of factors affecting satisfaction with seoul public bike." Journal of the Korea Academia-Industrial Cooperation Society, Vol. 22, No. 2, pp. 475-486. DOI: https://doi.org/10.5762/KAIS.2021.22.2.475.
  7. Kim, S. Y., Lee, K. H., Ahn, D. E. and Ko, E. J. (2020). "Assessment of the willingness to pay of public electric bicycle service-A case study of Seoul in Korea." Journal of the Architectural Institute of Korea, Vol. 36, No. 12, pp. 163-169. DOI: https://doi.org/10.5659/JAIK.2020.36.12.163.
  8. Lee, K. H. (2012). "Assessment of the use value of public bicycle service: Focus on changwon-si in Korea." Journal of the Kora Planners Association, Vol. 47, No. 7, pp. 119-128. https://doi.org/10.5124/jkma.2004.47.2.119
  9. Lee, K. H. and Ko, E. J. (2020). "Analysis of factors influencing the travel mode choice of bicycle by trip purpose-a case study of Seoul." Journal of the Korea Academia-Industrial Cooperation Society, Vol. 21, No. 12, pp. 33-42. DOI: https://doi.org/10.5762/KAIS.2020.21.12.33.
  10. Min, S. A. and Jung, Y. S. (2021). "Comparative study of prediction models for public bicycle demand in Seoul." The Korean Data and Information Science Society, Vol. 32, No. 3, pp. 585-592. DOI: https://doi.org/10.7465/jkdi.2021.32.3.585.
  11. O'brien, O., Cheshire, J. and Batty, M. (2014). "Mining bicycle sharing data for generating insights into sustainable transport systems." Journal of Transport Geography, Vol. 34. DOI: https://doi.org/10.1016/j.jtrangeo.2013.06.007.
  12. Sa, K. E., Seo, J. M. and Lee, S. G. (2020). "Analysis of origin-destination characteristics and the shortest travel path of public bike users in the morning peak-hour period." Journal of the Urban Design Institute of Korea Urban Design, Vol. 21, No. 6, pp. 105-120. DOI: https://doi.org/10.38195/judik.2020.12.21.6.105.