The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Study of the WTP Estimation for Introduction of Medium-sized Low Floor Electric Bus

중형 저상전기버스 도입에 따른 지불용의액 추정 연구

  • Kim, Kyung Hyun (Transportation Research Division, Korea Expressway Corporation Research Institute) ;
  • Park, Sangmin (Dept. of Transportation Eng., Ajou University) ;
  • Park, Sungho (Dept. of Transportation Eng., Ajou University) ;
  • Yun, Ilsoo (Dept. of Transportation Eng., Ajou University)
  • 김경현 (한국도로공사 도로교통연구원) ;
  • 박상민 (아주대학교 건설교통공학과) ;
  • 박성호 (아주대학교 건설교통공학과) ;
  • 윤일수 (아주대학교 교통시스템공학과)
  • Received : 2018.01.09
  • Accepted : 2018.02.05
  • Published : 2018.02.28
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Abstract

Currently, the global climate change response paradigm has been changed to a universal response system in which all nations, not the developed countries, participate. Korea has also set a target of 25.9 million tons of transportation greenhouse gas reduction targets by 2030. Korean society is expected to enter the super aging society in 2026. In this study, to reduce the greenhouse gas emissions in public transport and to improve the convenience of transportation vulnerable, we estimate the willingness to pay(WTP) and social benefits assuming that the existing feeder buses are replaced with medium-sized low floor electric buses. To this end, survey was conducted on bus users in the metropolitan area and WTP was estimated by using contingent valuation method(CVM), which is one of the non-market value evaluation methods. As a result of estimation of WTP, the average WTP is 51.4 (won / time person), estimated the economic benefits were 50 million won on weekdays and 40 million won on weekends in Gyeonggi Province in 2014.

현재 지구촌 기후변화 대응 패러다임은 선진국 중심이 아닌 모든 국가가 참여하는 보편적 대응체제로 전환되었으며, 우리나라 또한 2030년까지 수송분야 온실가스 감축목표를 25.9백만톤으로 설정하였다. 한국 사회는 고령화 사회에 진입하였으며, 2026년 초 고령화 사회로 진입할 전망이다. 이에 본 연구에서는 대중교통부문 온실가스 저감 및 교통약자 이동편의 증진을 위해서 기존 마을버스를 중형 전기저상버스로 교체할 경우를 가정하여 지불용의액 및 사회적 편익을 추정하였다. 수도권 마을버스 이용자를 대상으로 설문조사를 수행하였으며, 비시장가치 평가방법 중 하나인 조건부 가치측정법을 이용하여 지불용의액을 추정하였다. 지불의사금액 모형 추정결과 평균 WTP는 51.4(원/회 인)이며, 2014년 기준 경기도 마을버스 이용자의 경제적 편익 추정 결과 평일 약 5천만 원, 주말 약 4천만 원으로 분석되었다.

Keywords

References

  1. Choi J. Y. and Yu J. H.(2013), "Estimation of VMS Traffic Information Value Using Contingent Valuation Method," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 12, no. 3, pp.42-52. https://doi.org/10.12815/kits.2013.12.3.042
  2. Do M. S. and Kim Y. S.(2012), "Estimation of Willingness to pay Realtime Route Guidance Information by Contingent Valuation Method," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 11, no. 5, pp.46-55. https://doi.org/10.12815/kits.2012.11.5.046
  3. Gyeonggi Research Institute(2014), A Study on the Improvement of Feeder-Bus Fare System.
  4. Kim W. C. and Namgung M.(2015), "A Study on Fare Estimation for Demand Responsive Transport," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 14, no. 1, pp.103-111. https://doi.org/10.12815/kits.2015.14.1.103
  5. Korea Development Institute(2012), A Study improvement for Contingent Valuation Method Analysis Guidelines for Preliminary Feasibility Study.
  6. Korea Transport DataBase(2017), 2016 National Transport Statistics(Domestic).
  7. KOSIS, http://kosis.kr, 2017.12.29.
  8. KOTEMS, https://www.kotems.or.kr, 2017.12.29.
  9. Kum K. J., Min K. T., Lim W. T., Wang Y. W. and Yu J. S.(2006), "A Study on Value Evaluation of Mobile Traffic Information Provis Improvement - Based on Contingent Valuation Method," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 5, no. 2, pp.29-43.
  10. Lee E. E. and Kim J. J.(2004), "Estimation of value of freeway traffic information using Contingent Valuation Method," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 3, no. 2, pp.55-68.
  11. Lee Y. J., Do M. S., Jang T. Y. and Han D. S.(2015), "Comparative Analysis of Calculation Methods on Willingness to Pay for Introduction of Emergency-call System," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 14, no. 6, pp.50-59. https://doi.org/10.12815/kits.2015.14.6.050
  12. Ministry of Environment(2015), Eco-friendly Car.
  13. Ministry of Land, Infrastructure and Transport & Korea Transportation Safety Authority(2015), Survey of public transportation status in 2015.
  14. Ministry of Land, Infrastructure and Transport(2017.3.21), Improvement of passenger ship, bus stop, terminal facilities for transportation vulnerable convenience, Press Releases.
  15. MOLIT STATISTICS SYSTEM, http://stat.molit.go.kr, 2017.12.29.
  16. Office for Government Policy Coordination Prime Minister's Secretariat(2016.12.6), Mid-to long-term strategy and policy direction for effective climate change response at the national level in accordance with the launch of the new climate system, Press Releases.
  17. Oh H. N.(2011), "Detecting Protest Responses," KDI Journal of Economic Policy, vol. 34, no. 1, pp.135-168.
  18. United States Census(2016), An Aging World: 2015.
  19. Yeon B. M., Hong J. Y., Lee S. B., Lim J. B. and Moon B. S.(2010), "Value Analysis of User Satisfaction by VMS Traffic Information Using Contingent Value method," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 9, no. 2, pp.12-22.

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