Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
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Diversion Rate Estimation Model for Unexperienced Transportation Mode by Considering Maximum Willingness-to-pay: A Case Study of Personal Rapid Transit

최대 지불의사액을 고려한 미경험 교통수단의 전환율 추정모형: Personal Rapid Transit 사례를 중심으로

  • Yu, Jeong Whon (Department of Transportation Systems Engineering, Ajou University) ;
  • Choi, Jung Yoon (Department of Transportation Systems Engineering, Ajou University)
  • 유정훈 (아주대학교 교통시스템공학과) ;
  • 최정윤 (아주대학교 교통시스템공학과)
  • Received : 2012.09.24
  • Accepted : 2013.05.22
  • Published : 2013.06.30
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Abstract

Personal Rapid Transit(PRT) has emerged as a promising transportation mode for transit-oriented sustainable communities. In this study, an alternative design of questionnaire survey is proposed in order to capture traveler's perception of an unexperienced transportation mode. This study aims at predicting the mode choice diversion behavior of potential PRT users who do not have experience of using it previously, considering their willingness-to-pay. The proposed model was applied to predict an aggregate forecast of PRT patronage for the city of Songdo where PRT is considered to be constructed. For validation of the proposed model, the price elasticity of PRT demand was analyzed, compared with existing models. The analysis results suggest that the proposed design of questionnaire survey is able to capture respondents' attitude and perception to unexperienced transportation mode in an effective manner. Also, they show that the proposed diversion rate model is more realistic than existing models in explaining the effects of users' willingness-to-pay for predicting PRT patronage.

Personal Rapid Transit(PRT)는 대중교통중심의 지속가능한 사회를 위한 교통수단으로 각광받고 있다. 본 연구에서는 경험하지 못한 교통수단에 대한 이용자들의 인식을 효과적으로 측정하기 위한 설문 설계방법을 제시하고, PRT 잠재적 이용자들의 지불의사액(WTP: Willingness-to-pay)을 고려한 수단전환율 모형을 구축하여 이용경험이 부재한 사람들의 교통수단 이용선호의 변화를 분석하였다. 또한, 연구의 적정성을 검증하기 위해 설문조사 결과를 기초로 구축된 수단전환율 추정모형을 PRT 도입이 논의 중인 송도신도시에 적용하여 PRT 이용수요를 예측하고, 요금수준에 따른 수단전환율의 변화를 기존 수단전환율 예측모형의 결과와 비교하였다. 모형적용결과를 통해 본 연구에서 제안된 설문 설계방식은 교통수단 이용선호와 관련된 설명변수를 효과적으로 측정함을 알 수 있다. 또한, 요금수준에 따른 PRT 수단전환율 예측에 있어서, 본 연구에서 제시하고 있는 모형이 기존 모형보다 이용자가 느끼는 요금에 대한 저항을 현실적으로 반영하는 것으로 나타났다.

Keywords

References

  1. Batarce M., Galilea P. (2013), Cost and Fare Estimation for the Urban Bus Transit System of Santiago, TRB 2013 Annual Meeting CD-ROM 13-4814, p.14.
  2. Ben-Akiva M. E., Lerman S. R. (1985), Discrete Choices Analysis Theory and Application to Travel Demand, MIT Press.
  3. Bhat C. R., Sivakumar A., Axhausen K. W. (2003), An Analysis of the Impact of Information and Communication Technologies on Non-maintenance Shopping Activities, Transp. Res. Part B, Vol.37, Elsevier, pp.857-881. https://doi.org/10.1016/S0191-2615(02)00062-0
  4. Bin M. Y., Kim H. B. (2005), Investigating the Monetary Value of Bus Arrival Time Information, J. Korean Soc. Transp., Vol.23, No.6, Korean society of Transportation, pp.81-89.
  5. Cevero R. Kockelman K. (1997), Travel Demand and the 3Ds: Density, Diversity, and Design, Transp. Res. Part D, Vol.2, Elsevier, pp.199-219. https://doi.org/10.1016/S1361-9209(97)00009-6
  6. Denant-Boemont L., Petiot R. (2003), Information Value and Sequential Decision-making in a Transport Setting: an Experimental Study, Transp. Res. Part B, Vol.37, Elsevier, pp.365-386. https://doi.org/10.1016/S0191-2615(02)00018-8
  7. Dziekan K., Kottenhoff K. (2007), Dynamic At-stop Real-time Information Displays for Public Transport: Effects on Customers, Transp. Res. Part B, Vol.14, Elsevier, pp.27-33.
  8. Hess D. (2001), Effect of Free Parking on Commuter Mode Choice: Evidence from Travel Diary Data, Transp. Res. Rec.: J. Transp. Res. Board, Vol.1753, Transportation Research Board, pp.35-42. https://doi.org/10.3141/1753-05
  9. Hickey L. R., Lu A., Reddy A. (2010), Using Quantitative Methods in Equity and Demographic Analysis to Inform Transit Fare Restructuring Decisions, Transp. Res. Rec.: J. Transp. Res. Board, Vol.2144, Transportation Research Board, pp.80-92. https://doi.org/10.3141/2144-10
  10. Jun M. J. (2004), The Effects of Portland's Urban Growth Boundary on Urban Development Patterns and Commuting, Urban Stud., Vol.41, No.7, Urban Studies, pp.1333-1348. https://doi.org/10.1080/0042098042000214824
  11. Jun M. J., Baek S. H. (2008), An Analysis on Determinants of Commuter's Mode Choice in the Seoul Metropolitan Area Using Conditional Logit Models, J. Korea Plan. Assoc., Vol.43, No.4, Korea Planners Association, pp.9-19.
  12. Khattak A. J., Yim Y. B., Prokopy L. S. (2003), Willingness-to-pay for Travel Information, Transp. Res. Part C, Vol.11, Elsevier, pp.137-159. https://doi.org/10.1016/S0968-090X(03)00005-6
  13. Kim M. S., Lee Y. H., Lim J. K. (2004), Development of the New Transportation Systems Introduction Models Using Stated Preference Data, Proceedings of the Korean Geographical Society Conference, pp.2917-2921.
  14. Klockner C. A., Friedrichsmeier T. (2011), A Multi-level Approach to Travel Mode Choice-How Person Characteristics and Situation Specific Aspects Determine Car Use in a Student Sample, Transp. Res. Part F, Vol.14, Elsevier, pp.261-277. https://doi.org/10.1016/j.trf.2011.01.006
  15. Korea Development Institute (2008), Study on Standard Guidelines for Pre-feasibility Study on Road and Railway Projects (5th edition), pp.265-277.
  16. Lee B. J., Park Y. S., Kim M. S., Namgung M. (2005), Benefit Evaluation of Access Road in Tourism Area using Contingent Valuation Method, KSCE J. Civ. Eng., Vol.25, No.3D, Korean Society of Civil Engineers, pp.403-408.
  17. Lee B. J., Timmermans H. J. P. (2007), A Latent Class Accelerated Hazard Model of Activity Episode Durations, Transp. Res. Part B, Vol.41, Elsevier, pp.426-447. https://doi.org/10.1016/j.trb.2006.06.004
  18. Lee H. S., Lee H. Y. (2009), Differential Changes in Commuter's Mode Choice after the Integrated Public Transit Systems in Seoul Metropolitan City, J. Korean Geogr. Soc., Vol.44, No.3, The Korean Geographical Society, pp.323-338.
  19. Li H., Huang H., Liu J. (2010), Parameter Estimation of the Mixed Logit Model and Its Application, J. Transp. Syst. Eng. Inf. Techno., Vol.10, Elsevier, pp.73-78.
  20. Loomis J., Ekstrand E. (1998), Alternative Approaches for Incorporating Respondent Uncertainty When Estimating Willingness-to-pay: the Case of the Mexican Spotted Owl, J. of Ecol. Econ., Vol.27, Elsevier, pp.29-41. https://doi.org/10.1016/S0921-8009(97)00126-2
  21. Lyons G., Urry J. (2005), Travel Time Use in the Information Age, Transp. Res. Part A, Vol.39, Elsevier, pp.257-276.
  22. Metropolitan Transportation Authority (2010), Metropolitan Area and the Corresponding Study on the Future Traffic Demand Forecasts, pp.95-96.
  23. Ministry of Construction and Transportation (2009), Transport Investment Appraisal Guidelines, pp.36-42.
  24. Molin E. J. E., Timmermans H. J. P. (2006), Traveler Expectations and Willingness-to-pay for Web-Enabled Public Transport Information Services, Transp. Res. Part C, Vol.14, Elsevier, pp.57-67. https://doi.org/10.1016/j.trc.2006.05.003
  25. Roorda M. J., Carrasco J. A., Miller E. J. (2009), An Integrated Model of Vehicle Transactions Activity Scheduling and Mode Choice, Transp. Res. Part B, Vol.43, Elsevier, pp.217-229. https://doi.org/10.1016/j.trb.2008.05.003
  26. Son Y. G., Lee B. J., Eom Y. S., Namgung M. (2002), Benefit Evaluation of Traffic Information Offered System using Contingent Valuation Method, KSCE J. Civ. Eng., Vol.22, No.2D, Korean Society of Civil Engineers, pp.229-235.
  27. Song Y., Gerrit-Jan K. (2004), Measuring Urban Forma: Is Portland Winning the War on Sprawl?, J. American Plan. Asso., Vol.70, The American Planning Association, pp.210-225. https://doi.org/10.1080/01944360408976371
  28. Zhang M. (2004), The Role of Land-use in Travel Mode Choices: Evidence from Boston and Hong Kong, J. American Plan. Asso., Vol.70, The American Planning Association, pp.344-360. https://doi.org/10.1080/01944360408976383