DOI QR코드

DOI QR Code

The Impact of Public Transit Accessibility on the Car-sharing Use Demand

대중교통 접근성이 카셰어링 이용수요에 미치는 영향

  • 김숙희 (수원시정연구원 도시환경연구부) ;
  • 이규진 (아주대학교 TOD기반 지속가능 도시교통 연구센터)
  • Received : 2016.02.15
  • Accepted : 2016.06.29
  • Published : 2016.08.31

Abstract

The purpose of this study is to analyze the effect of public transit accessibility on the Carsharing use demand. By utilizing the rental historical DB of Greencar which is operated in Suwon city and public transit GIS DB, the use demand models for Carsharing by rental offices are built and analyzed in accordance with public transit accessibility. The result indicates 73% of walking as a majority, 3% cycling, and 20% using buses and urban railways to access Carsharing rental offices. The goodness of fit of Carsharing use models reflecting accessibility to buses and railways is verified as 0.818 which proves that public transit accessibility is a significant variable. Therefore, it is verified that installing Carsharing rental offices where public transit transfer is convenient can possibly increase the use demand. Especially, while accessibility to buses is verified as a significant variable out of other public transit means, the accessibility to urban railways is verified as not significant. This suggests that a variety of complementary policies such as transfer discount policy and one-way transfer return policy are necessary in between urban railways and Carsharing in order to promote mutual use demand in accordance with the other public transit means. This study result is yet the basic research on Carsharing, however it is expected to contribute to improvement of transfer demand in between different public transit means.

본 연구는 카셰어링의 대중교통 접근성이 카셰어링 이용수요에 미치는 영향을 분석하는 것을 목적으로 한다. 이를 위해 수원시에서 운영 중에 있는 그린카의 대여이력 데이터베이스와 대중교통 GIS DB를 활용하여 카셰어링 대여소별로 대중교통 접근성에 따른 카셰어링 이용수요 모형을 구축하고 이를 해석하였다. 연구 결과 카셰어링 대여소로의 접근수단은 도보가 73%로 가장 많으며, 자전거 3%, 버스와 도시철도는 20%로 나타났다. 버스와 도시철도의 접근성이 반영된 카셰어링 이용 모형의 적합도는 0.818로 대중교통 접근성은 유의한 변수임을 확인하였다. 즉, 카셰어링의 대여소는 대중교통과의 환승이 용이한 장소에 설치되는 것이 보다 이용수요를 증진시킬 수 있음을 확인하였다. 특히 대중교통 수단 중 버스 접근성은 유의한 변수로 확인된 반면, 도시철도 접근성은 유의하지 않은 것으로 나타났는데, 타 대중교통 수단과의 상호 이용수요 증진 측면에서 도시철도와 카셰어링간의 원활한 연계를 위한 환승할인 및 편도 반납 정책 등 다양한 보완적 정책이 필요할 것으로 판단된다. 본 연구 결과는 카셰어링에 대한 기초적 연구에 불과하지만, 대중교통간 환승수요를 증진시키는데 기여할 것으로 기대된다.

Keywords

References

  1. Kim J. S. and Park K. C.(2015), "Socioeconomic Effects of Carsharing, Gyeonggi Research Institute," GRI Issue & Analysis, no. 183.
  2. Park J. S and Moon J. H.(2014), "Study on The Impact of Public Use of Cars (Carsharing) on Traffic Demand," THE KOREA TRANSPORT INSTITUTE.
  3. Hwang H. Y. and Jeon H. J.(2014), "Applying Sharing Economy Principle on Transport with Focus on Car Sharing Practice and Research," Journal of Transport Research, vol. 21, no. 1, pp.35-49.
  4. Kim S. H., Lee K. J. and Choi K. C.(2014), "Preference Factors Analysis for Car-Sharing," Journal of Korean Society of Civil Engineers, vol. 34, no. 4, pp.1241-1249. https://doi.org/10.12652/Ksce.2014.34.4.1241
  5. Park J. S. and Moon J. H.(2013), "Demand Estimation and Impact Analysis of Car-Sharing Service," Journal of Transport Research, vol. 20, no. 2, pp.61-73.
  6. Park J. S. and Park J. H.(2015), "Impact of the Car-Sharing Service on Transport Demand and Taxi Service," Journal of Transport Research, vol. 22, no. 2, pp.19-34.
  7. Ko J. H., Yoo G. S. and Park J. H.(2013), "Traffic Sharing Age, What Should We Share?," The Seoul Research Institute.
  8. Choi H. S. and Park J. T.(2014), "Study on the Local Factors Affecting Availability of Car-Sharing in Seoul," Journal of the Korean Society for Railway, vol. 17, no. 5, pp.381-389. https://doi.org/10.7782/JKSR.2014.17.5.381
  9. Noh Y. S., Do M. S., Lee S. H., Byun W. H. and Lee J. B.(2013), "Site Selection of Carsharing Service Based on Spatial Analysis Techniques," Korean Society of Road Engineers, vol. 9, p.70.
  10. Transportation Research Board.(2005), Car-Sharing : "Where and How it Succeeds," TCRP Report 108, Washington DC.
  11. Mehdi N., Sirui Z., Sina B. and Matthew J.(2015), "Vehicle relocation and staff rebalancing in one-way carsharing systems," Transportation Research Record : Journal of the Transportation Research Part E, vol. 81. pp.98-113.
  12. Burak B., Zografos K. G. and Geroliminis N.(2015), "An optimization framework for the development of efficient one-way carsharing systems," European Journal of Operational Research, vol. 240, no. 3, pp.718-733. https://doi.org/10.1016/j.ejor.2014.07.020
  13. Gouri S M., Regina R. C., Patricia L. M. and Keith F. W.(2015), "The effect of carsharing on vehicle holdings and travel behavior : A propensity score and causal mediation analysis of the San Francisco Bay Area," Research in Transportation Economics, vol. 52, pp.46-55. https://doi.org/10.1016/j.retrec.2015.10.010
  14. Diana J. and G.oran M.(2015), "Trip pricing of one-way station-based carsharing networks with zone and time of day price variations," Transportation Research Part B, Transportation Research Part B, vol. 81, pp.461-482.

Cited by

  1. A Study on Optimizing Depot Location in Carsharing Considering the Neighborhood Environmental Factors vol.16, pp.5, 2017, https://doi.org/10.12815/kits.2017.16.5.49