• Title/Summary/Keyword: Public Transportation Card

Search Result 14, Processing Time 0.115 seconds

A Path-Based Traffic Assignment Model for Integrated Mass Transit System (통합 대중교통망에서의 경로기반 통행배정 모형)

  • Shin, Seong-Il;Jung, Hee-Don;Lee, Chang-Ju
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.6 no.3
    • /
    • pp.1-11
    • /
    • 2007
  • Seoul's transportation system was changed drastically starting the first of June in two thousand. This policy includes integrated distance-based fare system and public transportation card system called smart card. Especially, as public transportation card data contains individual travel, transfer and using modes information it is possible to catch the characteristics of path-based individuals and mass transit. Thus, public transportation card data can contribute to evaluate the mass transit service in integrated public transportation networks. In addition, public transportation card data are able to help to convert previous researches and analyses with link-based trip assignment models to path-based mass transit service analysis. In this study, an algorithm being suitable for path-based trip assignment models is suggested and proposed algorithm can also contribute to make full use of public transportation card data. For this, column generation algorithm hewn to draw the stable solution is adopted. This paper uses the methodology that is to take local approximate equilibrium from partial network and expand local approximate equilibrium to global equilibrium.

  • PDF

Development of an Algorithm for Estimating Subway Platform Congestion Using Public Transportation Card Data (대중교통카드 자료를 활용한 도시철도 승강장 혼잡도 추정 알고리즘 개발)

  • Lee, Ho;Choi, Jin-Kyung
    • Journal of the Korean Society for Railway
    • /
    • v.18 no.3
    • /
    • pp.270-277
    • /
    • 2015
  • In some sections of the Seoul Metropolitan Subway, severe congestion can be observed during rush hours and on specific days. The subway operators have been conducting regular surveys to measure the level of congestion on trains: the results are then used to make plans for congestion reduction. However, the survey has so far focused just on train' congestion and has been unable to determine non-recurring congestion due to special events. This study develops an algorithm to estimate the platform congestion rate by time using individual public transportation card data. The algorithm is evaluated by comparison of the estimated congestion rate and the ground truth data that are actually observed at non-transfer subway stations on Seoul subway line 2. The error rates are within ${pm}2%$ and the performance of the algorithm is fairly good. However, varying walking times from gates to platforms, which are applied to both non-peak periods and peak time periods, are needed to improve the algorithm.

Analysis of Elderly Population's Staying Places in Seoul using Public Transportation Card Data (교통카드 데이터를 활용한 서울시 고령인구 주요 체류지 및 체류지별 특성)

  • Lee, Ju-Yoon;Kim, Hyeon-Deok;Kang, Young-Ok
    • Journal of Cadastre & Land InformatiX
    • /
    • v.50 no.1
    • /
    • pp.231-245
    • /
    • 2020
  • The purpose of this study was to analyze the spatiotemporal characteristics of staying places by deriving the main staying places of the elderly population in Seoul using public transportation card data. For this reason, we used public transportation card data for 7 days from October 12, 2015 to October 18, 2015. As a result of the analysis, 14 places were extracted as the main staying places. It was divided into 5 groups based on the characteristics of the visiting users and concentration time. Most of the staying places showed that the elderly users who lived near the places visited, but in the case of the group where a large number of elderly users visited had relatively wide range of residential distribution. It was possible to confirm that there was a hierarchy. And the concentration time was displayed differently. Most of the staying places' concentration time was between 10 am and 5 pm. However, in the case of Jegi-dong group and Jamsil group had different concentration time. The results of this research provide necessary suggestions for establishing a public transport policy that considers the main stay spaces of the elderly population in Seoul and the stay characteristics of each stay space.

Analysis of Transit Passenger Movements within Seoul-Gyeonggi-Incheon Area using Transportation Card (대중교통카드자료를 활용한 수도권 통행인구 이동진단)

  • Lee, Mee Young;Kim, Jong Hyung
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.15 no.5
    • /
    • pp.12-19
    • /
    • 2016
  • An average of 20 million individual transit unit activities per day on the Seoul-Gyeonggi-Incheon public transportation network are provided as transportation card analysis data by the metropolitan district (99.02% by 2014 standard, Humanlive, 2015.4). The metropolitan transportation card data can be employed in a comprehensive analysis of public transportation users' current transit patterns and by means of this, an effective use plan can be explored. In enhancing the existing information on the bus and rail integrated network of the metropolis with public transportation card data, the constraints in the existing methodology of metropolitan transit analysis, which functions on a zone unit origin and destination basis, can be overcome. Framework for metropolitan public transportation card data based integrated public transportation analysis, which consists of bus and rail integrated transport modes, is constructed, and through this, a single passenger's transit behavior transit volume can be approximated. This research proposes that in the use of metropolitan public transportation card data, integrated public transportation usage, as a part of individual passenger spatial movements, can be analyzed. Furthermore, metropolitan public transportation card usage data can provide insights into understanding not only movements of populations taking on transit activities, but also, characteristics of metropolitan local space.

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
    • /
    • v.28 no.2
    • /
    • pp.7-19
    • /
    • 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.

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
    • /
    • v.15 no.4
    • /
    • pp.33-43
    • /
    • 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.

Development of Mobile Application to Find Lost Articles using NFC (NFC를 이용한 분실물 찾기 모바일 어플 개발)

  • Kim, Bong-gi
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2015.05a
    • /
    • pp.815-817
    • /
    • 2015
  • Annually more than three hundred thousand lost articles are found in Korea. These articles are only being nuisances kept in lost-and-found centers and storing them consumes a considerable amount of costs. In this paper, we developed a mobile application that helps to find lost articles quickly by using NFC which is the next generation short-distance telecommunication technique. We aim to increase NFC utilization that at this time is only used in limited areas such as public transportation card and Smart Wallet. In addition to this, we seek to reduce the cost for keeping annually lost articles as well.

  • PDF

Factor Analysis for Transit Transfer using Public Traffic Card Data (대중교통카드를 이용한 환승요인분석)

  • Lee, Da-Eun;Oh, Ju-Taek
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.16 no.1
    • /
    • pp.50-63
    • /
    • 2017
  • While transit is inconvenient, it is also inevitable for the efficient public transportation. Reducing the number of transfers as much as possible is most important in providing the convenience of public transportation and facilitating the public transportation. As for the public transportation card data, 61,986 items on weekdays and 69,100 items on weekends were collected. Pattern analysis and traffic influence factors were analyzed using traffic data card. Trip chain results revealed that people have more transit transfers for shopping and leasure than commuting purposes on weekends and that commuting distance and time increase by 10 km and 9.9 minutes, respectively. Besides, results of the structural equation model showed that factor 1(total travel time, total travel distance), factor 2(number of people getting on and off), factor 3(transit time), and factor 4(number of bus connections, number of operations) were found to have significant effects on the number of transfers.