DOI QR코드

DOI QR Code

A Study of the Estimation of Utilities of Usage Attributes of BRT and Bimodal Tram Using Conjoint Analysis (Case of the City of Sejong)

컨조인트 분석을 이용한 BRT 및 바이모달 트램 이용 속성의 효용 산정 연구 (세종시를 중심으로)

  • 박상민 (아주대학교 건설교통공학과) ;
  • 김경현 (한국도로공사 도로교통연구원) ;
  • 고한검 (교통안전공단 자동차안전연구원 K-City준비팀) ;
  • 목재균 (한국철도기술연구원 철도안전인증연구소) ;
  • 이종화 (우진산전 EV개발팀) ;
  • 윤일수 (아주대학교 교통시스템공학과)
  • Received : 2016.08.22
  • Accepted : 2017.07.10
  • Published : 2017.08.16

Abstract

PURPOSES : This study was initiated to estimate the utilities of usage attributes of BRT and Bimodal Trams using a conjoint analysis method in order to identify the important features pertaining to the use of BRT and Bimodal Trams. METHODS : For this purpose, important attributes and those level in the use of BRT and Bimodal Trams in the city of Sejong were identified. Next, a profile questionnaire pertaining to BRT and Bimodal Trams was designed for the conjoint analysis, and a survey was conducted in the city of Sejong. Using SPSS software, conjoint analysis was performed to identify the important attributes vis-$\acute{a}$-vis the use of BRT and Bimodal Trams in the city of Sejong. Finally, the utilities for individual attributes were calculated based on the models estimated by the conjoint analysis. RESULTS : The results of the conjoint analysis were used to identify the important attributes. With regard to the usage of BRT, users indicated that fare was the most important attribute with the highest utility. In the case of Bimodal Trams, the users indicated that the number of seats and internal environment were the most important attributes with the highest utilities. CONCLUSIONS : Based on the results of the conjoint analysis, the important attributes pertaining to the use of BRT and Bimodal Trams in the city of Sejong were identified. Our study indicates that BRT in the city of Sejong needs to be upgraded to improve the utilities of the important attributes. Currently, Bimodal Trams has not been introduced completely in the city of Sejong. However, in the future, when the introduction of Bimodal Trams is completed, the important attributes should be emphasized in order to improve the quality of its service.

Keywords

References

  1. Boyle, K. J., Holmes, T. P., Teisl, M. F. and Roe, B. 2001. A comparison of conjoint analysis response formats, American Journal of Agricultural Economics, 83, pp.441-454. https://doi.org/10.1111/0002-9092.00168
  2. Choi, Sun-Hyung, 2002, A Using of Conjoint Analysis for Brand Strategy of Fashion Market, Journal of Human Science, Vol. 22. pp.49-64.
  3. Joseph F. Hair, 1998, Multivariate Data Analysis, Prentice Hall.
  4. Kang, Eun-Young, 2010, A study of Determinants of Supplier Selection Using Conjoint Analysis Method, Master Thesis, INHA University.
  5. Kim, Hyungwoong, Moon, D., Moon, J., Kim, M., Lee, J., 2014, Empirical Analysis on Priority Evaluation of Advanced Urban Transit Systems Considering Weights of Public Transportation System Characteristics, Journal of the Korean Society for Railway, Vol.17. pp.79-85. https://doi.org/10.7782/JKSR.2014.17.1.79
  6. Ko, Han-Geom, Choi, Y., Oh, Y., Moon, B., 2013. Study on Developing Traffic Information Providing Strategy Using Conjoint Analysis, Journal of Transportation Research, Vol.20. pp.57-64.
  7. Korea Development Institute, 2012, A study of value estimation for cultural and scientific facility.
  8. Kwon, Hoe-Min, 2010, A study on consumer preference analysis of domestic wheat ramen using conjoint analysis, Master Thesis, Chung-Ang University.
  9. Lee, Jae-Kil, 2015, Study on the Preference of New Transportation Mode Using Conjoint Analysis Method, Journal of Transportation Research, Vol.22. pp.45-60.
  10. Park, Sangmin, Kim, J., Ko, H., Han, E., Jeong, H., Yun, I., 2016, Study of Evaluation Method for BRT Using GAO Report and BRT Standard Scoring, Page 367 in roc. of The 2016 Korean Institute of ITS Conference.
  11. Park, Sangmin, Ko, H., Park, J., Seo, C., Yun, I., 2016, Study of Decision Making for Advanced BRT Transit in Administrative City using AHP Method, Page 366 in roc. of The 2016 Korean Institute of ITS Conference.
  12. Park, Sung-Jun, Kim, K., Lee, D., Jang, S., 2012, Selection of Advanced transportation mode using the Analytic Hierarchy Process, Page 1173, The 2012 Korean Institute of Industrial Engineers of Confernce.
  13. Woo, Kyoung Bong, 2010, Nested Logit Analysis of Auto Choice in Korea, The Journal of Korea Academic Society of Industrial Organization, Vol.18, pp.37-58.