• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.986-995
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• 2007

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.3
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• pp.1-11
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• 2023

COVID-19 has caused the dramatic reduction of public transportation demand in Busan Metropolitan City, that is, daily public transportation trips in 2020 dropped by approximately 920,000 trips from 2019 based on the public transportation card data. This study investigated the underlying factors affecting the public transportation demand discrepancy between before and after COVID-19 at the primary administration unit(i.e., Eup, Myeon, Dong) level with Ordered Logistic Regression model. Finding of this study is as follows. The primary administration units characterized with high ratio of welfare recipients, industrial area, and day boarders were heavily dependent on public transit, indicating little change in public transportation demand. On the other hands, the primary administration units which have high ratio of urban rail transit uses experienced significant reduction of public transportation demand. In conclusion, transportation policies taken under emergent situation such as COVID-19 need to take into account the region-based characteristics rather than unilateral ones.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.797-800
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• 2003

개방형 LBS 플랫폼의 등장은 다양한 플랫폼을 가진 이동 통신 업체들 사이의 위치정보 연동을 용이하게 할뿐만 아니라, 위치정보를 이용하는 다양한 LBS 응용 솔루션 개발을 가능하게 하였다. 본 논문은 이러한 개방형 LBS 플랫폼과 연동하여 대중교통정보를 모바일 클라이언트에 제공하는 웹 서비스 솔루견을 제안 구현한다.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1246-1247
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• 2011

지능형교통시스템(ITS) 구축 사업을 통해 수집된 소통정보, 대중교통정보 등의 교통관련 정보를 제공하기 위한 방법으로 교통정보 안내전화(ARS)를 적용하여 도로 이용자에게 교통정보를 제공하고 있다. 도로 이용자에게 보다 편리한 교통정보 서비스를 제공하기 위한 일환으로 교통정보 안내전화(ARS)에 음성인식을 적용하고 있다. 그러나 초기 ARS에 음성인식을 적용한 결과 음성인식 성공률은 상당히 높은 것으로 나타났으나, 이용자가 증가하여 샘플링 수가 증가함에 따라 음성 인식 성공률은 점차 저하되고 있는 실정이다. 이를 해결하기 위한 방안으로 충분한 샘플링을 확보하여 주기적이고 지속적인 음성인식에 대한 튜닝을 실시하여 음성인식에 대한 성공률을 향상 시킬 필요가 있다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.3D
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• pp.317-323
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• 2008

Mass transit information can contribute many benefits to users. Especially, transportation information technology is developing highly with information technology in Korea recently. Hereafter, it is expected to give customized transportation information to users individually with the advent of ubiquitous age in earnest. This public transportation information service can be realized by path finding algorithm in public transportation networks including travel and transfer attributes. In this research, constraints are constructed with the primary facts influencing users. Moreover, the method reducing user's path finding condition arbitrarily is proposed by making the maximum value as variables. In this study, transfer frequency, total travel time, seat confirmation, transfer time and travel time become constraint condition based on k path finding algorithm considering service time constraint condition. Moreover, case study about user customized transfer information is performed in Seoul and metropolitan subway networks.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.2 s.40
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• pp.87-93
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• 2007

Over the years, Advanced Public Transportation System (APTS) has been implemented to manage and operate public transportation system. With the expanding mass spatio-temporal data such as comprehensive spatial information of each individual passenger and public transportation vehicle, it has been required to consolidate and analyze these multiple data sets from various sources. This paper demonstrates how GIS is utilized for the consolidation of massive transit related spatio-temporal information. And it presents effective applications to improve transit planning process and support transit related decision-making activities. GIS based system is used to combine multi-agents' data in the areas of transit operation and individual transit ride and transfer management. Due to the unique comprehensiveness and the level of detail of the data provide by the Seoul Transit system, this GIS based information consolidation is the first in its class. Based on the integrated database, this paper describes the effective and efficient GIS based analysis deployed in a transportation system planning process. The data integration systems and analytic models developed in this paper can be transferred and applied by any municipal governments provided that the appropriate data is available.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.123-124
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• 2017

최근에 장시간 근무로 인한 대중교통 운전자들의 부족한 휴식과 수면, 통증, 정신적 스트레스 등은 피로 누적를 초래하여 대중교통 사고의 주요 원인으로 대두되고 있다. 이에 2016년 산업통상자원부 산업융합촉진사업의 일환으로 대중교통 운전자용 다중 생체 신호측정 스마트 의류 및 관련 시스템이 개발중에 있으며 본 논문에는 현재 개발중인 스마트웨어러블 의류의 내세탁성능에 대한 성능 시험방법을 제안하고자 한다. 성능시험 방법은 국내외 생체신호측정 스마트 의류의 care label(취급표시사항)을 통하여 hand wash의 조건으로 세탁을 표시하고 있으나, 1년의 warranty를 위한 시험을 위해서는 오랜기간이 필요하기 때문에, 좀더 가혹한 조건으로 진행하여 시간을 줄이고, 고객의 빠른 시장출시를 지원하도록 시험방법을 제안하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.4
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• pp.1-12
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• 2008

The issues of developing the value added services for public transport connectivity and transfer with information and communication technologies has been discussed in terms of incorporating system facilities with public transit modes to increase the ridership of public transit. This paper demonstrates a conceptual model for providing the location based public transit transfer information service on demand with respect to system requirements, subsystems, and logical architecture based on the national ITS architecture. The subsystems in this study which include transfer information center, parking concierge, user route guidance and information provision system are also investigated in detail in order for information service and/or contents provider to develop business models on public transit connectivity and transfer. This model is expected to be utilized in providing the variety of service models with the different types of public transit connectivity and transfer systems according to the system scale and the public transit modes.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.225-244
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• 2016

As technology progresses, the supply and use of smartphones has become increasingly popular and has significantly transformed modern life. However, users still feel uncomfortable running some mobile apps, as many are created without a thoughtful consideration of usability. Usability evaluations involve several methodologies to identify specific problems in light of various principles. Although usability testing was initially centered on physical services, it has gradually evolved to consider user satisfaction as its main concern. Public transportation applications should be accessible to everyone, and studies should focus on the user's perspective. However, previous user surveys have concentrated on applications' technical aspects or visual design. As a result, there has been a lack of general usability evaluations. This study aimed to evaluate the usability of mobile transportation applications in real life, with a focus on public transportation in Seoul. All the participants were asked to complete a task, an in-depth interview, and a questionnaire survey. In summary, the results suggest that users do not find inappropriate information attractive when it does not satisfy their purpose of use, but rather tend to consider it as interference.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.12-19
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• 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.