Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
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The Impact of the Bus Use Environments on Users Stress: The Case of Daejeon City

버스이용환경이 이용자의 스트레스에 미치는 영향: 대전시를 사례로

  • LEE, Jaeyeong (Department of Urban and Transportation, Daejeon Development Institute) ;
  • PARK, Jin Hee (Department of Logistics, Korea Maritime and Ocean University)
  • 이재영 (대전발전연구원 도시기반연구실) ;
  • 박진희 (한국해양대학교 물류시스템공학과)
  • Received : 2015.08.26
  • Accepted : 2015.12.02
  • Published : 2015.12.31
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Abstract

This study analyzed that the impact of the bus use environment on users' stress in each step of bus use, from accessing to leaving to transfer, in the city of Daejeon. For this, we collected the stress data from 300 users using personal interviews at the bus stops and on-board bus. Also, we used factor analysis and structural equation model method for analysis of the impact of external and internal bus environments on stress of users. The results of this study showed that the highest stress impact factor was an onboard factor(${\beta}=.416$) including 'density and crowding', 'no seat to seat' and 'low ride comfort and safe'. The next stress impact factor was transfer factor including 'insufficient transfer information', 'lack of connectivity of bus and subway' and 'uncomfort transfer route'. From the above, we recommend that bus policies need to focus on not the supplier but users and also, this user based policy need to be more specified considering the characteristics of various users such as females, the elderly, irregular users, and so on.

본 연구는 대중교통 특히, 버스의 이용과정에서 이용자가 받는 외부 자극(이용환경)이 스트레스(육체적 정신적 부하)에 미치는 영향관계를 분석하였다. 이를 위해 요인분석 및 구조방정식모형(Structural Equation Model)을 이용하였으며, 대전 시내버스 이용자를 대상으로 자료를 수집하였다. 분석결과, 5개 변수 중 탑승혼잡요인이 버스 이용자의 스트레스에 가장 큰 영향을 주는 요인인 것으로 나타났으며(${\beta}=.416$), 다음으로 환승요인(${\beta}=.392$), 운영요인(${\beta}=.265$), 계절요인(${\beta}=.150$), 정류장시설요인(${\beta}=.090$)의 순으로 나타났다. 즉, 이용자의 스트레스는 시설과 운영의 양적인 요인보다는 질적인 서비스 수준 더 큰 관련성이 있는 것으로 분석된 바, 버스정책은 이용자 중심으로 전환되어야 할 것이다. 또한, 스트레스는 이용자특성(성별, 연령, 정기이용여부)에 따라 다르게 나타나므로 보다 세분화된 서비스 제고전략이 유효할 것으로 판단된다.

Keywords

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