• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1148-1158
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• 2010

This paper addresses prospect of the technology for development of NxTIS (NeXt generation Transport Information System) that is targeted to shifting Korean public transit framework to railway-centered one. The Seoul metropolitan area has adopted the smart-card as a payment system for the public transportation since 2004. The transportation record can be used as quite useful information for better planning and operating of the railway system, particularly when the smart-card based payment system is extended to whole nation. This paper introduces technologies to develop Real OD DB and NxTIS, and presents road-map for them. A variety of benefits from the development of the system are estimated both in quantitative and qualitative. The Real OD DB based NxTIS will work to highly prospective for creating a novel value in the railway as a public transportation system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.58-72
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• 2018

Ganghwa has met a new development period in land use and infrastructure based on the 4th National Development Planning, however the public transportation system is not systematically operated yet. This paper analyzes the bus trip pattern in Ganghwa using transportation card data during a week. The result indicates that average 7,100 people use buses a day and the most frequent use occurred in Friday. Clear peak-hours between 7 and 8 A.M. and between 4 and 5 P.M. were appeared due to commuting and school trips. According the result of regression analysis, population and the number of hospitals and schools area showed positive relationships with but trips reflecting regional characteristics. The research contributes to providing basic data for constructing an efficient public transportation system in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.5
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• pp.14-24
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• 2010

Although the existing X-CASH card system observes the KS standard for a transportation card system, there has been an issue for interoperability between X-CASH and other public transportation system due to the partially undefined part in the standard. This issue is followed by the inconvenience of the existing X-CASH users. If the existing X-CASH card user wants to get any other public transportations which are not interoperated with X-CASH, the user would have to buy other cards. Consequently, some users have to bring more than one card with them. In addition, it is almost impossible that the existing X-CASH system operator makes the X-CASH card available for the infrastructure built by other cards operators because their technologies are too much different. The X-CASH operator must construct its own infrastructure on the same route and it would cause an unnecessary loss of expense and labor. To solve these problems, We modified the existing X-CASH system and developed the Nation-wide Interoerable X-CASH system which lets both the existing X-CASH card and Nation-wide Interoperable X-CASH card work. This developed X-CASH system consists of the purchase SAM, the purchase terminal and the settlement. And The conformity test for it was successfully authorized. Also we, KORAIL NETWORKS, have done the test-bed on this Nation-wide interoperable X-CASH system in Gwangju for six months with Telecommunications & Clearings, the HiPlusCard Corporation. This test confirmed that the Nation-wide Interoperable X-CASH system would practically work well.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.131-146
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• 2023

Smart card data is widely used in the public transportation field. Despite the inevitability of various errors occur during the data collection and storage; however, smart card data errors have not been extensively studied. This paper investigates inherent errors in boarding and alighting station information in smart card data. A comparison smart card data and bus boarding and alighting survey data for the same time frame shows that boarding station names differ by 6.2% between the two data sets. This indicates that the error rate of smart card data is 6.2% in terms of boarding station information, given that bus boarding and alighting survey data can be considered as ground truth. This paper propose 6-step algorithm for correcting errors in smart card boarding station information, linking them to corresponding information in Bus Information System(BIS) Data. Comparing BIS data and bus boarding and alighting survey data for the same time frame reveals that boarding station names correspond by 98.3% between the two data sets, indicating that BIS data can be used as reliable reference for ground truth. To evaluate its performance, applying the 6-step algorithm proposed in this paper to smart card data set shows that the error rate of boarding station information is reduced from 6.2% to 1.0%, resulting in a 5.2%p improvement in the accuracy of smart card data. It is expected that the proposed algorithm will enhance the process of adjusting bus routes and making decisions related to public transportation infrastructure investments.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.6
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• pp.1083-1091
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• 2016

This research uses public transportation card data to analyze the inter-regional transfer times, transfer frequencies, and transfer resistance that passengers experience during transit amongst the metropolitan public transportation modes. Currently, mode transfers between bus and rail are recorded up to five times during one transit movement by Trip Chain, facilitating greater comprehension of intermodal movements. However, lack of information on what arises during these transfers poses a problem in that it leads to an underestimation of transfer resistances on the Trip Chain. As such, a path choice model that reflects passenger movements during transit activities is created, which attains explanatory power on transfer resistance through its inclusion of transfer times and frequencies. The methodology adopted in this research is to first conceptualize the idea of metropolitan public transportation transfer, and in the case that mode transfers include the city-rail, to newly conceptualize the idea of transfer resistance using transportation card data. Also, the city-rail path choice model within the Trip Chain is constructed, with transfer time and frequency used to reevaluate transfer resistance. Further, in order to align bus and city-rail station administrative level small-zone coordinates to state and regional level mid-zone coordinates, the big node methdod is utilized. Finally, case studies on trip chains using at least one transfer onto the city-rail is used to determine the validity of the results obtained.

• Journal of the Korean Society for Railway
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• v.18 no.3
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• pp.270-277
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• 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.

• Journal of the Korea Society of Computer and Information
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• v.15 no.3
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• pp.99-109
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• 2010

Since introduced in 1997, the transportation card system in Korea has been developed up to the world-top-tier technical level and gradually implemented in many other countries. Especially, the public transportations are significantly considered in terms of reducing greenhouse gas emission and environment pollution. In addition, a nation-wide transportation card system will be feasibly completed until 2013. However, for overcoming user's inconvenience, the unmanned sales/charging machines of the cards should be urgently required. In this paper, a new integrated operating system for unmanned sales/charging machines of such cards is designed and implemented by analyzing problems of the existing machines. The proposed system is hierarchically composed of multiple modules; machine initialization, work finishing, sales, charging, A/S handling, and management modules. We established and operated this machine in Seoul and Gyeonggi region. This research demonstrates that spread of the user-friendly integrated operating system improve user's convenience especially with respect to interoperability among transportation means and their areas.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.183-196
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• 2022

Public transportation accessibility has been evaluated through minimum level of service for public transportation. However it is evaluated based operators rather than users. This study analyzed the users' accessibility(first-mile, last-mile) to public transportation using altteul transport card data. As a result of user's accessibility of public transportation, rural areas was lower than that in the urban areas. This study calssified type 1 and 2 based average approach time, and average approach time of Type 1 and 2 were more than average approach time of total area. We propsed an efficient introduction of autonomous public transportation on-demand service using delphi survey. As a result of delphi survey, experts agreed on 9 items regarding function, service item, route operation, approach distance, route mileage, punctuality.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.4
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• pp.102-112
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• 2010

The existing K-CASH system doesn't allow compatible between different regions, different public transportations and the technologies made by different operators. If a K-cash user wants to use public transportation charged not by K-CASH but other operator, then he or she would have to get other type of card available for that transportation. Also, the incompatibility of the existing K-CASH might cause unnecessary expense because similar systems would have to be doubly constructed if the K-CASH operator would like to install the K-CASH system on the same infra as the other operators already did. As a result, a system which allows people to use just one card for their convenience regardless of regions, types of transportation and operators has been strongly demanded. In this paper, we developed Nation-wide Interoperable K-Cash system, Nation-wide Interoperable K-CASH Card, Purchase terminal, Purchase SAM and Settlement system that were updated from the existing K-CASH system. And we performed a conformity test to confirm performance. Also Korea Financial Telecommunications & Clearings and the KORAIL NETWARKS and the HiPlusCard joined for the testbed in Gwangju for 6 months. This result of testbed finally proved that the Nation-wide Interoperable K-CASH system is completely compatible.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.28-38
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• 2019

The smart card data stores the transit usage records of individual passengers. By using this, it is possible to analyze the traffic demand by station and time. However, since the purpose of the trip is not recorded in the smart card data, the demand for each purpose such as commuting, school, and leisure is estimated based on the survey data. Since survey data includes only some samples, it is difficult to predict public transport demand for each purpose close to the complete enumeration survey. In this study, we estimates the purposes of trip for individual passengers using the smart card data corresponding to the complete enumeration survey of public transportation. We estimated trip purposes such as commute, school(university) considering frequency of O-D, duration, and departure time of a passenger. Based on this, the passengers are classified as workers and university students. In order to verify our methodology, we compared the estimation results of our study with the patterns of the survey data.