Combined RP/SP Model with Latent Variables

잠재변수를 이용한 RP/SP 결합모형에 관한 연구

  • Received : 2010.03.04
  • Accepted : 2010.06.29
  • Published : 2010.08.31

Abstract

Mode choice behavior is associated with travelers' latent behavior that is an unobservable preference to travel behavior or mode characteristics. This paper specifically addresses the problem of unobservable factors, that is latent behavior, in mode choice models. Consideration of latent behavior in mode choice models reduces the errors that come from unobservable factors. In this study, the authors defined the latent variables that mean a quantitative latent behavior factors, and developed the combined RP/SP model with latent variables using the mode choice behavior survey data. The data has traveler's revealed preference of existent modes along the Han River and stated preference of new water transit on the Han River. Also, The data has travelers' latent behavior. Latent variables were defined by factor analysis using the latent behaviour data. In conclusion, it is significant that the relationship between traveler's latent behavior and mode choice behavior. In addition, the goodness-of-fit of the mode choice models with latent variables are better than the model without latent variables.

통행자의 통행수단선택행태는 개인의 사회경제적 속성과 수단의 속성뿐만 아니라 통행자 개인의 잠재된 통행행태 즉, 통행행태적 선호도 역시 큰 영향을 미친다. 통행수단선택행태에 특정한 영향을 미치는 잠재통행행태를 수단선택모형에 반영한다면 비관측요인에서 기인하는 오차를 크게 줄일 수 있고, 통행행태에 대한 다양하고 보다 합리적인 해석이 가능하다. 본 연구에서는 한강 수상대중교통 도입에 따른 수단선택행태조사 자료를 활용하여 잠재변수를 정의하고 새로운 수단에 대한 분석이 가능한 RP/SP 결합모형을 구축하였다. 잠재변수는 행태설문조사자료를 기반으로 요인분석을 통해 계량화하였다. 모형구축결과 통행자들의 잠재된 통행행태는 수단선택행태에 유의한 영향을 미치고, 잠재변수를 반영한 경우 모형의 적합도가 향상되었다. 또한 잠재행태 관점에서도 RP/SP 결합모형이 SP모형에 비해 합리적인 것으로 분석되었다.

Keywords

References

  1. 김강수.조혜진(2006), "SP 조사설계 및 분석방법론", 보성각, pp.153-174.
  2. 노형진(2007), "다변량분석 이론과 실제", 형설출판사, pp.84-147.
  3. 정병두.김 현.황영기(2009), "급행철도 도입에 따른 전환수요 분석", 대한교통학회지, 제27권 제3호, 대한교통학회, pp.131-140.
  4. Ben-Akiva M. and Morikawa T.(1990), "Estimation of Switching Models from Revealed Preferences and Stated Intentions", Transportation Research Part A, Vol. 24A, pp.485-495.
  5. Ben-Akiva M. et al.(1994), "Combining Revealed and Stated Preference Data", Marketing Letters 5:4, pp.335-350. https://doi.org/10.1007/BF00999209
  6. Ben-Akiva M. et al.(1999), "Extended Framework for Modeling Choice Behavior", Marketing Letters 10:3, pp.187-203. https://doi.org/10.1023/A:1008046730291
  7. Bradley M. A. and Daly A. J.(1991), "Estimation of Logit Choice Models Using Mixed Stated Preference and Revealed Preference Information", Paper presented to the 6th International Conference on Travel Behavior, Quebec, May 22-24.
  8. Espino R., Ortuzar J. D. and Roman C.(2007), "Understanding Suburban Travel Demand: Flexible Modelling with Revealed and Stated Choice Data", Transportation Research Part A, Vol. 41, pp.899-912.
  9. Hensher D. A. and Bradley M.(1993), "Using Stated Response Choice Data to Enrich Revealed Preference Discrete Choice Models", Marketing Letters 4:2, pp.139-151. https://doi.org/10.1007/BF00994072
  10. Hensher D. A., Louciere J. and Swait J. (1999), "Combining Sources of Preference Data", Journal of Econometrics 89, pp.197-221.
  11. Johansson M. V., Heldt T. and Johansson P. (2006), "The Effects of Attitudes and Personality Traits on Mode Choice", Transportation Research Part A, Vol. 40, pp.507-525.
  12. Morikawa T. (1989), "Incorporating Stated Preference Data in Travel Demand Analysis", PhD Dissertation, Department of Civil Engineering, M.I.T.
  13. Morikawa T. (1994), "Correcting State Dependence and Serial Correlation in The RP/SP Combined Estimation Method", Transportation, Vol. 21, pp.153-165. https://doi.org/10.1007/BF01098790
  14. Sohn K. and Yun J. (2009), "Separation of Car- dependent Commuters from Normal-choice Riders in Mode-choice Analysis", Transportation, Vol. 36, pp.423-436. https://doi.org/10.1007/s11116-009-9209-9
  15. Train K. E. (2003), "Discrete Choice Methods with Simulation", Cambridge University Press, pp.156-160.