• Title/Summary/Keyword: 수도권 도시철도

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Allocating Revenues to Metropolitan Railroad Operators Using Public Transportation Card Data (대중교통 카드(RF Card) 자료를 활용한 수도권 도시철도 운영기관 간 수입금 정산 방법론에 대한 연구)

  • Sin, Seong-Il;Lee, Chang-Ju;Kim, Chan-Seong
    • Journal of Korean Society of Transportation
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    • v.28 no.2
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    • pp.7-19
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    • 2010
  • 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.

수도권 도시철도 시스템의 운영상 문제점과 개선 방향

  • 손의영
    • Journal of the Korean Society for Railway
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    • v.3 no.4
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    • pp.23-35
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    • 2000
  • 지난 30년간 수도권은 많은 변화를 겪어왔다. 무엇보다도 1970년에 948만 인에 불과하던 인구가 1990년에는 거의 투 배인 1,859만 인으로. 1998년에는 2,130만 인으로 계속 증가하였다. 버스만으로는 대중교수단의 역할을 수행할 수 없게 되자 1970년대 초반부터 도시철도를 건설하기 시작하였다. 이후 도시철도는 서울시전역에서 건설되기 시작해서 이제 서울시내 만에도 8개 노선, 총 연장 280 km의 지하철망을 구축하게 되었다. 지하철 외에 서울시 외곽 도시를 연결하는 7개 노선, 총 연장 172 km의 전철망 또한 구축되었다. 지하철망과 전철망을 합한 수도권내 도시철도망은 이제 14개 노선, 총 연장 452 km에 달하며, 승객수송 분담율에 있어서도 버스보다 더 높은 비중을 차지하고 있다. (중략)

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Prospect for the metropolitan area railway service in Reparation for the railway connection between the South and the North (남북철도연결을 대비한 수도권 철도망 정비방향)

  • 신종서
    • Proceedings of the KSR Conference
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    • 2001.05a
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    • pp.52-57
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    • 2001
  • ㆍ수도권 철도는 우리나라의 경제성장과 함께 증가하는 교통처리 대책으로 1974년 8월 15일 서울지하철 1호선과 함께 경인선 서울∼인천간, 경부선 서울∼수원간, 경원선 용산∼청량리∼성북간을 복선 전철화 하여 도시철도로 전환, 이에 따라 수도권 위성도시의 발전과 인구 폭증으로 안산, 산본, 평촌, 분당, 일산 등 신도시를 개발하고 교통난 해소를 위해 서울지하철은 1호선에서 9호선가지 건설중이며, 수도권 철도는 경부선 영등포∼천안간 2복선전철과 안산선, 분당선, 일산선, 경의선, 경원선, 중앙선, 경춘선, 용산선, 신공항선 등 복선전철화와 경부고속철도 등 수송능력 증강을 위해 건설하고 있다. (중략)

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Constructing Transfer Data in Seoul Metropolitan Urban Railway Using Transportation Card (교통카드기반 수도권 도시철도 환승자료 구축방안)

  • Lee, Mee Young;Sohn, Jhieon;Cho, Chong Suk
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.4
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    • pp.33-43
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    • 2016
  • Public transportation card data, which is collected for purposes of the Integrated Public Transportation Fare System, provides neither transfer time nor transfer frequency occurring on the metropolitan city-rail (MCR). And because there are no transfer toll gates installed on the MCR, data on transfers between lines are estimated through means such as elicitations using survey questionnaire, or otherwise through macroscopic observations, which poses the risk of transfer time and frequencies being underestimated. For the accurate estimation thereof, an explanation of the transit path that arises between the Entry-and Exit-Gates must be provided. The purpose of this research is twofold : 1) to build a transit path model to reflect the current state of transfer movements on the basis of transportation card reader data, and 2) to deduce information on transfers occurring in the greater metropolis. To achieve these aims, the idea of Big Nodes is introduced in the model to align transportation card reader operation system characteristics with those of the MCR network. The link-label method is applied in the model as well to make certain that the MCR network runs in an effective manner. Administrative information obtained by the transportation card reader is used to derive transfer time and frequency both in the city's mid-zones, and in the Seoul-Gyeonggi-Incheon district's large-zones. Public transportation card data from a single specific day in year 2014 is employed in the building of the quantified transfer specific data. Extended usage thereof as providing comprehensive data of transfer resistance on the MCR is also examined.

Locational Effect of Seoul-Pusan High Speed Rail on Urban System and Urban Scale Economies (고속철도역 입지의 도시시스템 및 도시경제 변동효과)

  • 김의준
    • Journal of Korean Society of Transportation
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    • v.16 no.1
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    • pp.25-34
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    • 1998
  • 본연구의 목적은 경부고속철도역의 입지가 도시간 인구분포와 도시경제에 미치는 영향을 분석하 는 데 있다. 인구분포 결정식의 추정결과를 토대로 하여 고속철도의 건설에 따른 도시시스템의 변화를 살펴보면 대도시내 인구분산화가 이루어지면서 대도시와 중소도시간 인구불균등은 심화될것으로 예상된 다. 고속철도의 역사가 입지하는 도시의 경제활동이 증가한 점을 감안하면, 향후, 서울 , 대구, 부산등의 도시경제 수준은 상대적으로 열악해 지고 천안과 대전은 고속철동역 유치로 인하여 도시성장 기반을 구 축할 수 있을 것이다. 지역개발차원에서 수도권 남부지역에 고속철도역을 입지시켜 서울의 중추기능을 분산시킬 필요가 있다. 고속철도 개발을 통해서 수도권 남부지역을 중심으로 도시권이 형성되어 수도권 내 2대 공간체계가 개발된다면 서울도시권에 대한 기존의 개발압력을 줄이면서 수도권내 남부도시권은 천안 및 대전과 연계되어 광역적인 개발이 가능할 것이다.

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Transportation Card Based Optimal M-Similar Paths Searching for Estimating Passengers' Route Choice in Seoul Metropolitan Railway Network (수도권 도시철도망 승객이동경로추정을 위한 교통카드기반 최적 M-유사경로 구축방안)

  • Lee, Mee young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.2
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    • pp.1-12
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    • 2017
  • The Seoul metropolitan transportation card's high value lies in its recording of total population movements of the public transit system. In case of recorded information on transit by bus, even though route information utilized by each passenger is accurate, the lack of passenger transfer information of the urban railway makes it difficult to estimate correct routes taken by each passenger. Therefore, pinpointing passenger path selection patterns arising in the metropolitan railway network and using this as part of a path movement estimation model is essential. This research seeks to determine that features of passenger movement routes in the urban railway system is comprised of M-similar routes with increasing number of transfer reflected as additional costs. In order to construct the path finding conditions, an M-similar route searching method is proposed, embedded with non additive path cost which appears through inclusion of the stepwise transportation parameter. As well, sensitivity of the M-similar route method based on transportation card records is evaluated and a stochastic trip assignment model using M-similar path finding is constructed. From these, link trip and transfer trip results between lines of the Seoul metropolitan railway are presented.

Estimating Transfer Trips in Seoul Metropolitan Urban Railway (Using Transportation Card) (수도권 도시철도 환승통행량 추정방안 (교통카드자료를 이용하여))

  • Lee, Mee Young;Sohn, Jhieon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.6
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    • pp.36-46
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    • 2016
  • Separate transportation card readers that record the amount of transfer volume occurring during movement in-between lines within the metropolitan railway transfer stations do not exist. This research proposes a model to estimate passenger transit movements in transfer stations that adequately reproduces characteristics arising during a transfer trip. The model used in this study assumes that passengers adopt transfer behaviors that minimize their generalized costs during transfer trips. Further, two measures are sought in order to reflect attributes of the metropolitan railway. The first is that similar paths connect origin and destination stations. For this, the M-Similar Paths method is applied to the model to identify the similar paths that arise. The second is that passengers perceive increasing number of transfers as additional transfer costs, which is reflected by means of the Stepwise Transfer Coefficient. Two case studies of metropolitan railway are used to propose measures for analysis of transfer trips. Twenty directional transit phenomena are reproduced for Sindorim railway station. Aggregate directional transit(A), aggregate inter-line transit(B), and B/A are calculated on a percentage basis for 33 metropolitan railway transfer stations, and using this, the functional role of transfers is explored.

Transport Card Based Revenue Allocation Model Considering Boundary Stations in Seoul Metropolitan Urban Railroad Network (수도권 도시철도 경계역을 반영한 교통카드 기반 수입금 배분모형)

  • Seongil Shin;Hee Chun Kim;Doohee Nam
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.15-28
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    • 2023
  • Boundary Station is an evaluation index that was not reflected in the Seoul Metropolitan Urban Railroad Connected Eare Allocation. Boundary station is a station located at the boundary point of two transportation agencies sharing the same route, and track operation methods are divided into business management and maintenance management. Until now, the Connected Fare Allocation has evaluated the boundary stations from the perspective of business management. Meanwhile, the integrated public transportation fee system requires the need to interpret the boundary stations from the point of view of maintenance management at the developmental level. This study was prepared a measure to quantitatively analyze changes in income with the introduction of maintenance methods in mind. The Change in the income of operation agency evaluated based on the daily transportation card data for the boundary stations of the four Seoul Transportation Corporation and KORAIL sections. This study is meaningful as a basic research for an analytical judgment that evaluates and allocates changes in transportation income of Seoul Metropolitan Urban Railroad in the future.

Evaluation of Environmental Contribution to the Effect of Reducing Carbon Dioxide Emission in Metropolitan Urban Railways (수도권 도시철도의 이산화탄소 배출량 절감 효과에 대한 환경 기여도 분석)

  • Joo, Jaemoom;Hong, Kiman;Hong, Youngsuk;Kim, Teagyun
    • Journal of the Society of Disaster Information
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    • v.18 no.3
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    • pp.589-599
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    • 2022
  • Purpose: The purpose of this study is to quantitatively identify the environmental contribution generated by urban rail users in the metropolitan area. Method: As for the analysis method, the mode choice and assignment of the traffic demand analysis were repeatedly performed on the assumption that each line was not opened for the metropolitan urban railway lines 1 to 9. After that, the environmental contribution according to changes in demand for the road was analyzed. Result: The total amount of carbon dioxide emissions and benefits were found to be the largest for subway line 1. However, when considering the number of stations and length, it was analyzed that the environmental contribution was the greatest in Metro Line 4. Conclusion: Measures to promote the use of public transportation are representative of environmental improvement policies, but there is a limit in that it is difficult for actual users/non-users to feel it. Therefore, it is judged that it is necessary to quantitatively present the effect in order to improve and spread awareness of the environment.

Estimating Station Transfer Trips of Seoul Metropolitan Urban Railway Stations -Using Transportation Card Data - (수도권 도시철도 역사환승량 추정방안 -교통카드자료를 활용하여 -)

  • Lee, Mee-Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.5
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    • pp.693-701
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    • 2018
  • Transfer types at the Seoul Metropolitan Urban Railway Stations can be classified into transfer between lines and station transfer. Station transfer is defined as occurring when either 1) the operating line that operates the tag-in card-reader and that operating the first train boarded by the passenger are different; or 2) the line operating the final alighted train and that operating the tag-out card-reader are different. In existing research, transportation card data is used to estimate transfer volume between lines, but excludes station transfer volume which leads to underestimation of volume through transfer passages. This research applies transportation card data to a method for station transfer volume estimation. To achieve this, the passenger path choice model is made appropriate for station transfer estimation using a modified big-node based network construction and data structure method. Case study analysis is performed using about 8 million daily data inputs from the metropolitan urban railway.