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Measuring Social Benefit of Mitigation of In-Vehicle Congestion Level in Intercity Buses

광역버스 차내혼잡도 완화의 경제적 편익측정에 관한 연구

  • RYU, Sikyun (Center for Studies of Northern Gyeonggi, Gyeonggi Research Institute) ;
  • HAN, Siwon (Bus Policy Division, City Transportation Headquarter, Seoul Metropolitan Government) ;
  • YOU, Jaesang (Center for Studies of Northern Gyeonggi, Gyeonggi Research Institute)
  • 류시균 (경기연구원 북부연구센터) ;
  • 한시원 (서울시청 버스정책과) ;
  • 유재상 (경기연구원 북부연구센터)
  • Received : 2016.09.12
  • Accepted : 2016.12.08
  • Published : 2016.12.30

Abstract

The purpose of this study is to develope a method for measuring social benefit by mitigating in-vehicle congestion level in intercity buses. Contingent valuation method and Tobit model are adopted for social benefit evaluation method. One thousand passengers were interviewed with 992 obtained valid samples. Tobit models with age, income level, and bus boarding times as explanatory variables are selected to estimate the willingness to pay for the mitigation of intercity bus in-vehicle congestion. Statistically and logically, two models with age or income level as explanatory variables are turned out to be valid. The intercity bus service supply status and usage are examined and the bus users who have willingness-to-pay for the intercity bus in-vehicle congestion mitigation have been identified. In case of the 'no standing' rules implemented to the intercity bus, the annual economic benefit from the service is estimated to be 14.7 billion won.

본 연구는 수도권지역을 운행하는 광역버스를 대상으로 차내혼잡도 완화의 편익측정방법론 개발을 목적으로 하고 있다. 비시장재의 편익측정방법론에 대한 조사, 분석을 통해서 조건부가치측정법을 조사기법으로, Tobit모형을 측정모형으로 선정하였다. 설문조사를 통해서 992개의 유효표본이 얻어졌으며 연령, 소득수준, 버스탑승시간, 통행목적, 혼잡도 등을 설명변수로, 광역버스 차내혼잡도 완화에 대한 추가지불의사액을 종속변수로 하는 Tobit모형을 추정하였다. 통계적 검정과 논리적 검정을 통해서 모형의 적합도가 검정되었으며 모형으로부터 산출된 광역버스 차내혼잡도 완화에 대한 추가지불의사액을 경기도가 인가한 광역버스 이용실태에 적용한 결과, 수도권 지역에서 광역버스 좌석제를 시행할 경우 일평균 약 61백만 원, 연간 약 147억 원의 편익이 발생할 것으로 추정되었다.

Keywords

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  1. 고속철도 차량 내 혼잡도 완화에 대한 지불 용의액 추정 연구 vol.37, pp.2, 2016, https://doi.org/10.12652/ksce.2017.37.2.0379