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The Impact of passenger volume and transportation revenue change following the Implementation of the City Bus Quasi-Public Operation System - Focusing on the BRT system of Busan City –

  • Studies in Humanities and Social Sciences
  • Abbr :
  • 2021, 64(3), pp.21-80
  • DOI : 10.17939/hushss.2021.64.3.002
  • Publisher : Institute of Humanities and Social Sciences
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : August 5, 2021
  • Accepted : August 29, 2021
  • Published : September 6, 2021

Seong Wooyong 1 Kang Jaeho 1

1부산대학교

Accredited

ABSTRACT

The purpose of this study is to analyze the effectiveness of city bus policies. City buses are a means of transportation closely related to the lives of the common people. The city bus fare has been restrained from increasing for the sake of stabilizing the economy of the common people. As a result, the Quasi-Public Operation System was implemented, in which the portion of the operating deficit was filled with public funds. Through the implementation of the Quasi-Public Operation System, local governments could maintain the policy that guarantees the transportation rights of the disadvantaged, operation of low-floor buses for the disabled, and discount on fares for the elderly, children and youth, etc., as part of realizing a welfare society for the underprivileged in our society. In the case of BRT, the purpose is punctuality and promptness, and efficient operation to increase the number of users can bring positive effects. If the punctuality and promptness of city buses are secured, there will be an inducement effect for users. For the analysis, 71 non-BRT section routes in Busan and 12 routes in the experimental group BRT section were selected and PSM analysis and Fixed effect analysis were performed. In the effect analysis of the BRT section in Busan, the number of users increased by 73,600 for three years from 2017 to 2019 in the case of PSM near-neighbor matching, and by 73,300 in kernel matching. In logarithmic revenue, 0.09 (9%) increased for PSM near-neighbor matching, and the same 0.09 (9%) increased for kernel matching.

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