• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.98-113
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• 2014

The purpose of this study is to investigate the changes in the accessibility of the Metropolitan Seoul Transit systems since 2000, in which many new subway lines have been constructed as well as other urban transit lines have been connected to the systems. We suggest an accessibility measure model for Un-fixed Transportation Networks. In order to measure the nodal accessibility based on the mobility, we apply path-distance, physical-distance, and time-distance as the distance impedance measurement. Specifically, we develop time-distance algorithms to measure the time-distance between each pairs of transit stations based on the T-card transaction databases. We apply the model to the Metropolitan Seoul Transit systems in two time points(2005 and 2011). We examine the results in terms of three distance accessibility measures. Time-distance accessibility explains better the urban land use patterns in the Metropolitan Seoul area than the other two. We visualize the spatial patterns of time-distance accessibility by applying GIS, and analyze the spatial structures of accessibility in the Metrropolitan Seoul area between two time points.

• The Journal of Bigdata
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• v.7 no.2
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• pp.75-90
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• 2022

Recently, complex and sophisticated analysis of transportation is required due to changes in the socioeconomic environment and the development of bigdata technology. Especially, the revision of 3 laws including PERSONAL INFORMATION PROTECTION ACT makes it possible to combine various types of mobility data. But strengthen personal information protection makes inefficiency in utilizing mobility bigdata. In this paper, we proposed the "Virtual fusion methdology via mobility bigdata" which is a methodology for indirect data fusion for various mobility bigdata such as mobile data and transportation card data, in order to resolve legal restrictions and enable various transportation analysis. And we also analyzed regional bus passenger in Seoul capital area and Cheongju city with aforementioned methodology for verification. This methdology could analyze behavioral pattern of passenger with the MCGM(Mobility Comprehensive Genetic Map), graph with position and time, making with mobile data. Consquently, using MCGM, which is a result for indirect data fusion, makes it possible to analyze various transportation problems.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.6
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• pp.603-611
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• 2020

This study collected and analyzed transportation card data in order to better understand the operation and usage of city buses in Ulsan Metropolitan City in Korea. The analysis used quantitative and qualitative indicators according to the characteristics of the data, and also the categories were classified as general status, operational status, and satisfaction. The existing city bus survey method has limitations in terms of survey scale and in the survey process itself, which incurs various types of errors as well as requiring a lot of time and money to conduct. In particular, the bus means indicators calculated using transportation card data were analyzed to compensate for the shortcomings of the existing operational status survey methods that rely entirely on site surveys. The city bus index calculated by using the transportation card data involves quantitative operation status data related to the user, and this results in the advantage of being able to conduct a complete survey without any data loss in the data collection process. We took the transportation card data from the entire city bus network of Ulsan Metropolitan City on Wednesday April 3, 2019. The data included information about passenger numbers/types, bus types, bus stops, branches, bus operators, transfer information, and so on. From the data analysis, it was found that a total of 234,477 people used the city bus on the one day, of whom 88.6% were adults and 11.4% were students. In addition, the stop with the most passengers boarding and alighting was Industrial Tower (10,861 people), A total of 20,909 passengers got on and off during the peak evening period of 5 PM to 7 PM, and 13,903 passengers got on and off the No. 401 bus route. In addition, the top 26 routes in terms of the highest number of passengers occupied 50% of the total passengers, and the top five bus companies carried more than 70% of passengers, while 62.46% of the total routes carried less than 500 passengers per day. Overall, it can be said that this study has great significance in that it confirmed the possibility of replacing the existing survey method by analyzing city bus use by using transportation card data for Ulsan Metropolitan City. However, due to limitations in the collection of available data, analysis was performed only on one matched data, attempts to analyze time series data were not made, and the scope of analysis was limited because of not considering a methodology for efficiently analyzing large amounts of real-time data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.2 no.2 s.3
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• pp.31-42
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• 2003

Prepaid plastic card issued by Korea Highway Company had a lot of problems in end-user usage and management. HipassPLUS Card, which is a smart card used for a prepaid electronic payment, overcomes the problems of Prepaid Plastic card. HipassPLUS Card is also designed be compatible to other cards such as public transportation card. Thus, for the safety of using the card in such environment, the functionality and the security of HipassPLUS card should be faultless. This paper developed a test module including the test method, the test checklist, and the test procedure to examine the functionality and security of the payment mechanism of HipassPLUS card. The test module contains the method and the procedure to test the standard items according to the test checklist of HipassPLUS card. The test items and the test checklist of HirassPLUS card was selected under the provision of the specification of Korea Highway Company and ISO standard. The results of evaluation on HipassPLUS card using the proposed test module indicates that 4he HipassPLUS card satisfied the criteria under the characteristics of the functionality, security, and compatibility.

• Journal of Cadastre & Land InformatiX
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• v.52 no.2
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• pp.153-169
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• 2022

With the extension of the average life span and the rapid aging of the population, defining elderly population as a single group is difficult as the physical, economic and social conditions of individual have become different. Therefore, policies that take into account the characteristics of each group are required. The purpose of this study is to classify individual travel types and to analyze the characteristics of each travel type, based on individual public transportation trajectory data as known as smart card data. Among the four classified types, the long-distance low-frequency stay type and the short-range medium-frequency mobile type show external activity traffic characteristics for retirement leisure, while the long-distance high-frequency stay type and the long-distance high-frequency mobile group include regular commuting. Traffic variability and residence areas of stay were identified in terms of each classified travel type. The results of this study provide the important suggestions for establishing a transportation policy that takes into account the characteristics of each type of elderly population in Seoul.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.476-478
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• 2003

정보 기술의 급속한 발전으로 스마트카드는 무선 통신, 공중전화 서비스, 전자 상거래, 교통 분야등 여러 활용 분야에서 사용되고 있으며 특히 현금이나 신용카드를 대체하는 결제수단으로 떠오르면서 우리 생활에 많은 변화를 일으키고 있다. 그러나 이러한 편리함 뒤에는 평소 우리가 생각하지 못했던 일들, 예컨대 개인 정보의 유출 등의 사고가 발생하여 시스템 안전에 대한 문제가 제기되고 있는 실정이다. 그동안 스마트카드를 이용한 원격 인증에 있어 ElGamal 알고리즘이나 해쉬 함수를 이용하여 시스템이 사용자를 인증하는 단방향 인증이 연구되어 왔으나, 기술의 발달로 시스템에 대한 위조가 가능해지면서 보다 강화된 보안의 필요성이 대두되었다. 본 논문에서는 이산대수와 해쉬 함수를 결합한 하이브리드 방식으로 스마트카드를 이용한 원격 사용자 양방향 인증을 설계하였다.

• Electronics and Telecommunications Trends
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• v.19 no.2 s.86
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• pp.111-116
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• 2004

무선 주파수 인식(RFID) 기술은 바코드 시스템과 마그네틱 카드 시스템이 우리 생활에 밀접하게 이용되고 있으나 생산 방식의 변화, 소비자 의식의 변화, 문화 및 기술의 진보, 바코드와 마그네틱 카드의 단점 해소 요구에 의해 개발된 시스템이다. 즉, 무선으로 사람, 물건, 동물 등을 인식, 추적, 식별할 수 있는 기술이다. RFID 카드는 다른 접촉식 카드와는 달리 이용자가 카드를 리더에 삽입하는 시간이 필요치 않으며 기계적인 접촉이 없기 때문에 마찰이나 손상이 없고 오염이나 환경의 영향이 적은 것이 특징이다. RFID 시스템은 공장 자동화, 교통 분야, 의료 분야, 레저나 시설에서도 많이 응용되어 새로운 수익을 창출할 수 있는 기술이 될 것으로 사료된다.

• Electronics and Telecommunications Trends
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• v.17 no.5 s.77
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• pp.102-106
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• 2002

현재 IC 카드는 통신, 금융, 교통 등의 여러 응용 서비스에서 널리 사용되고 있는데, 계속적인 하드웨어 기술의 발전으로 인한 메모리 증가, CPU 성능 향상과 통합된 정보 가전을 위한 다양한 형태의 네트워크 연결 인터페이스 구축 노력이 다중 응용 프로그램 사용 요구 및 개방형 운영체제(open-platform operating system)와 맞물려 도약적인 기술 발전을 이루고 있다. 본 고에서는 널리 사용되고 있으며 향후 시장성이 가장 클 것으로 예측되는 자바 카드 플랫폼 탑재 IC 카드의 기술 현황을 H/W 및 S/W 측면에서 살펴보고, 자바 카드 기술의 발전 동향을 조망하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.652-655
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• 2003

This paper represents the electronic money market forecast. The cash, check and traditional settlement means transfer the electronic money with information technique. This paper forecasts not only the use of electronic money markets but also the scale of electronic money. So, the purpose of this study is to forecast and analyze the present situation of electronic money market.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.2
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• pp.116-128
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• 2011

Some subway passengers may want to have their fresh vegetables purchased through internet at a service facility within the subway station of the Metropolitan Seoul subway system on the way to home, which raises further questions about which stations are chosen to locate service facilities and how many passengers can use the facilities. This problem is well known as the pickup problem, and it can be solved on a traffic network with traffic flows which should be identified from origin stations to destination stations. Since flows of the subway passengers can be found from the smart card transaction database of the Metropolitan Seoul smart card system, the pickup problem in the Metropolitan Seoul subway system is to select subway stations for the service facilities such that captured passenger flows are maximized. In this paper, we have formulated a model of the pickup problem on the Metropolitan Seoul subway system with subway passenger flows, and have proposed a fast heuristic algorithm to select pickup stations which can capture the most passenger flows in each step from an origin-destination matrix which represents the passenger flows. We have applied the heuristic algorithm to select the pickup stations from a large volume of traffic network, the Metropolitan Seoul subway system, with about 400 subway stations and five millions passenger transactions daily. We have obtained not only the experimental results in fast response time, but also displayed the top 10 pickup stations in a subway guide map. In addition, we have shown that the resulting solution is nearly optimal by a few more supplementary experiments.