Journal of the Korean Society for Railway (한국철도학회논문집)

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

DOI QR Code

Empirical Analyses on Public Involvement Impact for Master Plan of New Transit System

신교통 시스템도입을 위한 기본계획단계의 PI 효과 실증 분석

  • 김연규 (한국교통연구원 철도연구실)
  • Received : 2011.01.17
  • Accepted : 2011.02.11
  • Published : 2011.02.26
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to develop conflict management considering justification of planning decision by public involvement (PI) in the context of Korea as an approach to prevent conflicts for railway projects and to achieve consensus building between public and governments. In this study, to evaluate the effectiveness of conflict management in the process of railway planning, we examined the before and after survey on the light rail transit (LRT) planning that was previously conducted. We first conducted estimation on the causal relationships among factors related to acceptance of LRT planning by structural equation model. The estimation results show that conflict management activities and acceptance are positively related. We also discussed as follows: the level of recognition of railway project influences positive effects regardless of conflict management activities, the most important factor with respect to the acceptance is awareness for planning necessity.

본 논문은 신교통 시스템인 경량전철을 도입하기 위한 기본계획 추진과정에 진행하여 온 국민참여(Public Involvement) 활동 사례를 대상으로 정보공유 이전과 이후의 신교통(LRT) 기본계획(Master Plan)에 대한 수용의식의 변화를 구조방정식모형(SEM)을 이용하여 분석하였다. 그 결과, 시민들은 설문조사, 홍보자료 제공, 오픈하우스 및 공청회(Public Hearing) 개최 등과 같은 PI 활동이 신교통(LRT)기본계획에 대한 중도적 의사표현에서 확실한 의사 표명으로 변화시키는 효과가 있었다. 이상 분석결과 철도사업의 PI는 해당 사업의 수용의식에 부정적 혹은 긍정적인 영향이 모두 존재할 수 있기 때문에 합의 형성이라는 결과물보다는 국민들에게 의사결정 할 수 있는 정보제공의 기회와 함께 철도사업의 절차적 정당성을 향상시킬 수 있도록 제도화가 필요하다.

Keywords

References

  1. H. Kim, Y.I. Kwon, B.D. Jung, S.H. Lee (2006) Korean Society of Transportation(The 51th), The Residents' Recognition evaluation about PI of road business.
  2. J.K. Eom, M.J. Sung, J. Lee, S.M. Park (2010) Analytic Study of the Level of Introducing Bimodal TRAM System, Journal of The Korean Society for Railway, 13(6).
  3. Y.I. Kwon, et al. (2007) KOTI, The study on guidelines for PI of road business.
  4. Y.K. Kim, H. Kim (2007) KOTI, How to implement conflict management for railway project.
  5. Public hearing (2007) KOTI, Goyang Automated Guideway Transit master plan.
  6. P.M. Allaman, T.J. Tardiff, F.C. Dunbar (1982) New Approaches to Understanding Travel Behavior, NCHRP Report 250. Transportation Research Board, Washington.
  7. K.A. Bollen (1989) Structural Equations with Latent Variables. Wiley, New York.
  8. A.K. Den Boon (1980) Opvattingen over Autogrebruik en Milieuvervuiling. Baschwitz Institute for Public Opinion and Mass Psychology, University of Amsterdam.
  9. R. Dobson, F. Dunbar, C.J. Smith, D. Reibstein, C. Lovelock, (1978) Structural models for the analysis of traveler attitude-behavior relationships. Transportation 7, 351-363. https://doi.org/10.1007/BF00168036
  10. P.K. Lyon (1981a) Time-dependent structural equations modelling of the relationships between attitudes and discrete choices behavior of transportation consumers. Dissertation, Northwestern University and Technical Report IL-11-0012, Office of Policy Research, Urban Mass Transportation Administration, Washington, DC.
  11. K.G. Jreskog (1970) A general method for analysis of covariance structures. Biometrika 57, 239-251. https://doi.org/10.1093/biomet/57.2.239
  12. K.G. Jresokog, D. Srbom (1979) Advances in Factor Analysis and Structural Equation Models. Abt Books, Cambridge, MA.
  13. K.G. Jresokog, D. Srbom (1993) Structural Equation Modeling with the SIMPLIS Command Language LISREL 8 User's Reference Guide: PRELIS2 User's Reference Guide, Scientific Software International, Chicago.
  14. T.J. Tardiff (1976) Causal inferences involving transportation attitudes and behavior. Transportation Research 11, 397-404.
  15. US DOT (2002) Public Involvement Techniques for Transportation Decision Making.