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Allocating Revenues to Metropolitan Railroad Operators Using Public Transportation Card Data  

Sin, Seong-Il (서울시정개발연구원 도시기반연구본부)
Lee, Chang-Ju ((주)LG CNS 공공/SOC사업본부)
Kim, Chan-Seong (한국교통연구원 국가교통DB센터)
Publication Information
Journal of Korean Society of Transportation / v.28, no.2, 2010 , pp. 7-19 More about this Journal
Abstract
Users of metropolitan railroad is increased continuously because of its various advantage such as comfortableness, convenience and punctuality. Thus, several local government including Seoul considered new installation or extension of railroads and four railroad operators maintain seventeen lines at present. After public transportation reforms in 2004 and integrated discount fare system in 2007, public transportation become more convenient in many aspects. However, these trials gives much more complex allocating problems of revenues among public transportation operators. In this paper, we deal with revenue allocating problems among public transportation operators after integrated discount fare system in 2007. Specifically, this study focuses on allocating revenues to metropolitan railroad operators by using RF card data. This research roughly proposes the methodology of O/D extraction from RF card data, generalized cost estimation and allocating revenue algorithm. We use RF card data in order to draw out exact individual O/D data and try to compare our results with those of Korea Smart Card Company. In generalized cost estimation, survey study about transfer factors is conducted for accurate estimation of generalized cost function. Lastly, new allocating revenue algorithm using k-path and non-dominated path concept is suggested. It is expected that case study is also performed with real revenues and O/D data in order to check up the application. Preposed methodology in this research can contribute to solve present and future revenue allocating issues according to the introduction of LRT and private railroad.
Keywords
Public Transportation Card Data; Metropolitan Railroad Revenue Allocation; Non-dominated Path; Generalized Cost; K-path Shortest Algorithm;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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