Journal of the Korean Society for Railway (한국철도학회논문집)

The Korean Society for Railway (한국철도학회)
권호 표지
DOI QR코드

DOI QR Code

Application of Random Regret Minimization Model in the Context of Intercity Travel Mode Choice

지역간 수단선택에 있어서 확률적 후회 최소화 모형의 적용 연구

  • Jin, Woo-Jeong (Dept. of Railway Transport Research, The Korea Transport Institute) ;
  • Lee, Jang-Ho (Dept. of Railroad Facility Engineering, Korea National University of Transportation)
  • Received : 2015.10.07
  • Accepted : 2015.11.23
  • Published : 2016.02.29
Download PDF
⟨ Previous Next ⟩

Abstract

The multinomial logit model, based on random utility maximization (RUM) theory, has been the predominant model used in travel mode choice contexts. In this paper, the travel mode choice model based on random regret minimization (RRM) theory is proposed as an alternative to the RUM model, and the applicability of the RRM model is examined. The presented model is applied to the case of inter-city travel mode choice in Korea. The empirical results show that the RUM model and RRM model have parameters that are consistent with the intuition. The goodness of fit statistics in the RRM model improved compared with the results of the RUM model. Consequently, these results show the possibility of using the RRM model in the context of travel mode choice.

통행자 수단선택 연구에는 확률 효용 최대화 원칙(RUM)에 입각한 다항로짓모형이 주로 사용되어졌다. 그러나 최근 들어 RUM 원칙을 대신할 대안적 방법론의 제시가 이루어지고 있으며, 이러한 대안적 방법의 하나로 제시된 것이 확률적 후회 이론모형(RRM)이다. 본 연구는 지역간 통행자의 수단선택 행태를 모사함에 있어 RRM 모형을 적용하고, RUM 원칙을 적용한 다항로짓모형의 구축결과와 비교를 통하여 RRM 모형의 적용가능성을 검토하였다. 분석결과, RUM 모형과 RRM 모형 모두 모수 추정결과는 직관과 부합하는 결과를 보였으며, 모형의 자료 적합도는 RUM 모형보다 RRM 모형이 조금 더 높게 도출되었다. 결론적으로 자료적합성 측면에서 RRM 모형이 RUM 모형보다 낫다고 판단할 수 있으나, 아직 일부 사례에만 검토되어졌기 때문에 추후 경로선택, 화물 운송수단 선택 등 더 많은 통행자의 선택상황에 대한 추가적인 검토가 필요하다고 하겠다.

Keywords

References

  1. C.G. Chorus, T.A. Arentze, H.J.P. Timmermans (2008) A random regret minimization model of travel choice, Transportation Research Part B, 42(1), pp. 1-18. https://doi.org/10.1016/j.trb.2007.05.004
  2. C.G. Chorus (2010) A new model of random regret minimization, European Journal of Transport and Infrastructure Research, 10, pp. 181-196.
  3. C G. Chorus (2012a) Random regret minimization: an overview of model properties and empirical evidence, Transport Reviews, 32(1), pp. 75-92. https://doi.org/10.1080/01441647.2011.609947
  4. C G. Chorus, J.M. Rose, D.A. Hensher (2013) Regret minimization or utility maximization: it depends on the attribute, Environment and Planning B: Planning and Design , 40(1), pp. 154-169. https://doi.org/10.1068/b38092
  5. C.G. Chorus (2012b) Logsums for utility-maximizers and regret-minimizers, and their relation with desirability and satisfaction, Transportation Research Part A: Policy and Practice, 46(7), pp. 1003-1012. https://doi.org/10.1016/j.tra.2012.04.008
  6. M. Boeri, R. Scarpa, C.G. Chorus (2014) Stated choices and benefit estimates in the context of traffic calming schemes: Utility maximization, regret minimization, or both?, Transportation Research Part A, 61, pp. 121-135.
  7. M. Boeri, L. Masiero (2014) Regret minimization and utility maximization in freight transport context, Transportmetrica A: Transport Science, 10(6), pp. 548-560. https://doi.org/10.1080/23249935.2013.809818
  8. M.S. Song (2013) A study of mode choice behavior based on regret theory, Master's Thesis, Yonsei University.
  9. H.B. Kim (2012) A study of mode choice analysis of blind spot areas for public transportation in four metropolitan cities, Journal of the Korean Society of Civil Engineers, 32(6), pp. 565-569. https://doi.org/10.12652/Ksce.2012.32.6D.565
  10. I.K. Kim, K.S. Kim, Y.C. Kim (2005) Model specification and estimation method for traveler's mode choice behavior in Busan metropolitan area, Journal of Korean Society of Transportation, 23(3), pp. 7-19.
  11. D.S. Yoon (2001) Analysis of travel mode and home departure time choice for university students' commuting trips, Journal of Korea Planners Association, 36(1), pp. 197-209.
  12. S.H. Choo (2012) Exploring impacts of activity factors on travel mode choice: focused on discretionary activities, The Korea Spatial Planning Review, 74, pp. 163-173. https://doi.org/10.15793/kspr.2012.74..010
  13. K.S. Kim, H.J. Cho (2004) Development of scaled explosion logit model considering reliability of ranking data, Journal of Korean Society of Transportation, 22(6), pp. 197-206.
  14. H.G. Kim, K.S. Kim, S.M. Lee (2004) Design and implementation of travel mode choice model using the bayesian networks of data mining, Journal of Korean Society of Transportation, 22(7), pp. 77-86.
  15. W.J. Kim (2003) Analysis of the commuter's mode choice behavior : the case study of Sungnam residents, Master's Thesis, Yonsei University.
  16. Ministry of Land, Infrastructure and Transport (2013) Investment appraisal guide for transportation facilities, 5th Ed. pp. 172-176.
  17. J.H. Lee (2003) A mixed logit model accommodating travelers'taste variations and error structure among alternatives, PhD. Thesis, Seoul National University.