• Title/Summary/Keyword: Seoul Public Transportation Data

Search Result 139, Processing Time 0.026 seconds

Development of Integrated Accessibility Measurement Algorithm for the Seoul Metropolitan Public Transportation System (서울 대도시권 대중교통체계의 통합 시간거리 접근성 산출 알고리즘 개발)

  • Park, Jong Soo;Lee, Keumsook
    • Journal of the Korean Regional Science Association
    • /
    • v.33 no.1
    • /
    • pp.29-41
    • /
    • 2017
  • This study proposes an integrated accessibility measurement algorithm, which is applied to the Seoul Metropolitan public transportation system consisting of bus and subway networks, and analyzes the result. We construct a public transportation network graph linking bus-subway networks and take the time distance as the link weight in the graph. We develop a time-distance algorithm to measure the time distance between each pair of transit stations based on the T-card transaction database. The average travel time between nodes has been computed via the shortest-path algorithm applied to the time-distance matrix, which is obtained from the average speed of each transit route in the T-card transaction database. Here the walking time between nodes is also taken into account if walking is involved. The integrated time-distance accessibility of each node in the Seoul Metropolitan public transportation system has been computed from the T-card data of 2013. We make a comparison between the results and those of the bus system and of the subway system, and analyze the spatial patterns. This study is the first attempt to measure the integrated time-distance accessibility for the Seoul Metropolitan public transportation system consisting of 16,277 nodes with 600 bus routes and 16 subway lines.

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.

Effects of Compact City Development on Residents' Shopping Trips -A Case study of Seoul (압축도시 계획요소가 지역주민들의 쇼핑통행에 미치는 영향 -서울시를 대상으로)

  • Ko, Eunjeong;Lee, Kyunghwan
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.14 no.8
    • /
    • pp.4077-4085
    • /
    • 2013
  • The purpose of this study is to analyze relationships between compact city development and residents' shopping trips in Seoul. Compact city planning factors are classified into land use and traffic environment. The main data source used for this research is 2006 Household Travel Survey data, then a statistic analysis was carried out by applying random intercept logit model. Analysis shows that a high level of residential density increases residents' local shopping. Also, a high level of residential density and land use mix results in more uses of public transportation, bicycle and walking for shopping. Also, more access to public transportation leads to more use of public transportation for shopping. Therefore, compact city development will have a positive impact on activating the use of public transportation, bicycle and walking for shopping.

Analysis of Public Transport Ridership during a Heavy Snowfall in Seoul (기상상황에 따른 서울시 대중교통 이용 변화 분석: 폭설을 중심으로)

  • Won, Minsu;Cheon, Seunghoon;Shin, Seongil;Lee, Seonyeong
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.39 no.6
    • /
    • pp.859-867
    • /
    • 2019
  • Severe weather conditions, such as heavy snowfall, rain, heatwave, etc., may affect travel behaviors of people and finally change traffic patterns in transportation networks. To deal with those changes and prevent any negative impacts on the transportation system, understanding those impacts of severe weather conditions on the travel patterns is one of the critical issues in the transportation fields. Hence, this study has focused on the impacts of a weather condition on travel patterns of public transportations, especially when a heavy snowfall which is one of the most critical weather conditions. First, this study has figured out the most significant weather condition affecting changes of public transport ridership using weather information, card data for public transportation, mobile phone data; and then, developed a decision-tree model to determine complex inter-relations between various factors such as socio-economic indicators, transportation-related information, etc. As a result, the trip generation of public transportations in Seoul during a heavy snowfall is mostly related to average access times to subway stations by walk and the number of available parking lots and spaces. Meanwhile, the trip attraction is more related to business and employment densities in that destination.

A Study on the Effects of Urban Public Transportation Retrofitting for Sustainability (지속가능성을 위한 도시 대중교통 레트로핏(Retrofitting) 효과분석)

  • KIM, Seunghyun;NA, Sungyoung;KIM, Jooyoung;LEE, Seungjae
    • Journal of Korean Society of Transportation
    • /
    • v.36 no.1
    • /
    • pp.23-37
    • /
    • 2018
  • In recent years, it is very difficult to construct and expand new infrastructures in a city center because of long-term low growth and lack of space due to urban overcrowding. So, there is a need to study a variety of Retrofitting techniques and urban applications that can lead to sustainable development while efficiently utilizing existing facilities. 'Retrofit' means a sustainable urban retrofitting as a directed alteration of the structures, formations and systems of existing facilities to improve energy, water and waste efficiencies. In this study, we applied a hierarchical network design technique that can reflect the structural hierarchy of a city to study how to retrofit public transportation routes in Seoul. The hierarchical network design means dividing the hierarchy according to the functions of hubs and connecting different hierarchies to form a hierarchical network. As a result of comparing the application results of various retrofitting scenarios of public transport, the differences of daily PKT and PHT by about 2.6~3.2% less than before the improvement address that the convenience of passengers is increased. Therefore, it is expected that if the route planning is established according to the proposed method, it will increase the number of passengers and the operational efficiency by the improved convenience of public transit passengers.

Changes of Time-Distance Accessibility by Year and Day in the Integrated Seoul Metropolitan Public Transportation Network (서울 대도시권 통합 대중 교통망에서 연도별 및 요일별 시간거리 접근도 변화)

  • Park, Jong Soo;Lee, Keumsook
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.21 no.4
    • /
    • pp.335-349
    • /
    • 2018
  • This study analyzes the effect of the changes in traffic environments such as transportation speeds on the time-distance accessibility for the public transportation passengers. To do this, we use passenger transaction databases of the Seoul metropolitan public transportation system: one week for each of the three years (2011, 2013, and 2015). These big data contain the information about time and space on the traffic trajectories of every passenger. In this study, the time-distances of links between subway stations and bus stops of the public transportation system at each time are calculated based on the actual travel time extracted from the traffic-card transaction database. The changes in the time-distance accessibility of the integrated transportation network from the experimental results can be summarized in two aspects. First, the accessibility tends to decline as the year goes by. This is because the transportation network becomes more complicated and then the average moving speed of the vehicles is lowered. Second, the accessibility tends to increase on the weekend in the analysis of accessibility changes by day. This tendency is because the bus speeds on bus routes on the weekend are faster than other days. In order to analyze the accessibility changes, we illustrate graphs of the vehicle speeds and the numbers of passengers by year and day.

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
    • /
    • v.22 no.2
    • /
    • pp.15-28
    • /
    • 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.

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.

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

Evaluation of Transit Transfer Pattern for the Mobility Handicapped Using Traffic Card Big Data: Focus on Transfer between Bus and Metro (교통카드데이터를 활용한 교통약자 대중교통 환승통행패턴 분석: 버스 지하철 간 환승을 중심으로)

  • Kwon, Min young;Kim, Young chan;Ku, Ji sun
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.20 no.2
    • /
    • pp.58-71
    • /
    • 2021
  • The number of elderly people worldwide is rapidly increasing and the mobility handicapped suffering from inconvenient public transportation service is also increasing. In Korea and abroad, various policies are being implemented to provide high-quality transportation services for the mobility handicapped, and budget support and investment related to mobility facilities are being expanded. The mobility handicapped spends more time for transit transfer than normal users and their satisfaction with transit service is also lower. There exist transfer inconvenience points of the mobility handicapped due to various factors such as long transfer distances, absence of transportation facilities like elevators, escalators, etc. The purpose of this study is to find transfer inconvenience points for convenient transit transfer of the mobility handicapped using Smart card Big data. This study process traffic card transaction data and construct transfer travel data by user groups using smart card big data and analysis of the transfer characteristics for each user group ; normal, children, elderly, etc. Finally, find transfer inconveniences points by comparing transfer patterns between normal users and the mobility handicapped. This study is significant in that it can find transfer inconvenience points for convenient transit transfer of the mobility handicapped using Smart card Big data. In addition, it can be applicated of Smart card Big data for developing public transportation polices in the future. It is expected that the result of this study be used to improve the accessibility of transit transportation for mobility handicapped.