• International Journal of Highway Engineering
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• v.15 no.5
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• pp.167-176
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• 2013

PURPOSES : Lately, a traffic information market has been developed with a rapid speed owing to information and communications. In this situation, a study on the use intention and the satisfaction of mobile transportation information applications of users will be diverse implications and a strategic foundation to local governments and transportation information related enterprises that should provide satisfactory info as public goods to much more users. METHODS : Going along with the flow, this study establishes features of the mobile transportation information applications aiming to the users and analyzes empirical causality for effects of the use intension and the satisfaction. Through this study's analysis, targeting users having experienced transportation information applications among smart phone users, a survey was conducted and characteristics of the transportation information applications were lighted and the effects of the use intention and the satisfaction were analyzed using a technology acceptance model. RESULTS : The analysis result was that Accuracy, Riskiness, Ubiquity and Interactivity as all attributes of transportation information applications have a significant effect on Perceived usefulness and Perceived Ease of Use respectively. The Perceived usefulness and Perceived Ease of Use have affected significantly users' satisfaction respectively, so consequentially this shows effect relationship leading to reuse intention. CONCLUSIONS : The Perceived usefulness and Perceived Ease of Use all for the transportation information applications were shown to influence significantly on the satisfaction. With this kind of result, if users obtain positive outcomes such as travel time reduction or effective roles on their tasks through the transportation information applications, they feel the satisfaction for using and eventually these affect positively to the reuse intention of those transportation information applications.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.4
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• pp.335-349
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• 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.

• Journal of KIBIM
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• v.8 no.3
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• pp.12-19
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• 2018

The research aims to find implications of machine learning and urban big data as a way to construct the flexible transportation network system of smart city by responding the urban context changes. This research deals with a problem that existing a bus headway model is difficult to respond urban situations in real-time. Therefore, utilizing the urban big data and machine learning prototyping tool in weathers, traffics, and bus statues, this research presents a flexible headway model to predict bus delay and analyze the result. The prototyping model is composed by real-time data of buses. The data is gathered through public data portals and real time Application Program Interface (API) by the government. These data are fundamental resources to organize interval pattern models of bus operations as traffic environment factors (road speeds, station conditions, weathers, and bus information of operating in real-time). The prototyping model is implemented by the machine learning tool (RapidMiner Studio) and conducted several tests for bus delays prediction according to specific circumstances. As a result, possibilities of transportation system are discussed for promoting the urban efficiency and the citizens' convenience by responding to urban conditions.

• Journal of Korean Society of Transportation
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• v.3 no.1
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• pp.22-45
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• 1985

Most transportation problems are expected to be dealt with by public sector, mainly government organizations, even though few articles are available to tackle the problems from the administrative points of view. This study has the following scopes: to define the transportation system; to derive the subsystems, i.e., the functions of the system; to identify the elements (or organizations) of performing the functions; to study the inter-organizational relationships among the elements and to derive problem areas; and finally to propose a new administrative system for solving the problems. System Theory was exclusively used for defining the system and deriving subsystems of transportation. Laws and regulations about government organizations were analyzed to identify the relevant organizations. Communications analysis was used for deriving the relationships among the organizations. Ledger books containing incoming-and-outgoing documents in the sampled organizations were inputed onto computer. Exactly 49,367 records(i.e., information flows) were stored for this analysis. Finally, this study proposed a new administrative system that is expected to result in more cooperative and productive inter-organizational relationships among the transportation organizations.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.109-114
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• 2012

Intelligent Transportation Systems (ITS) is aimed to implement IT(Information Technology) to develop the next-generation transportation system in order to improve traffic conditions. In order to provide traffic information, the methods that provide available traffic informations to the public are needed. In this paper, analysis of the transportation applications in smart-phone and currently available methods of traffic information's sharing and providing were discussed. Finally, OPEN API was discussed and shows its effectiveness for transportation information area especially in smart phone.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.3
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• pp.1-11
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• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.292-295
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• 2020

In the modern society, people can easily reach destination by using the rapidly developed public transportation services. Recently, location information is provided through the network, but this is useless to the weak people on transportation like the handicapped. This paper proposes a bus alert terminal system equipped with the arrival information of public buses based on location information and distance measurement sensor. By using this system, we look forward to providing more convenient and accessible services for the weak people on transportation.

• Journal of Korean Port Research
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• v.13 no.2
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• pp.323-332
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• 1999

The bus should supply an equal service to the whole community as feeder trip. However the existing bus route can not supply an effective feeder service in spite of the changes in the latent demand by the variety of regional structural change. This study aimed to establish the concept which frames the bus operation and management to cope with the latent demand to the bus. This study tackled this evidence by analyzing the transportation problems in terms of the urban growth emphasizing the following issues ; First, the strategy to improve the bus operation Second the land use control appropriate for the public transportation network Third economical range to justify the bus operation Second, the land use control appropriate for the public transportation network Third, economical range to justify the bus operation Fourth, the allowance for the private transportation mode On the latter part, the difference on the bus operation was compared to determine the range within which the bus operation could be justified. This study would provide some implications to improve the management for bus operation and fundamental information to develop the bus operation system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.433-434
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• 2019

이 논문은 공공 빅 데이터를 활용하여 '서울자전거 따릉이'를 기반으로 자전거 교통 데이터베이스 시스템을 제작하고, 제작한 데이터베이스 시스템을 활용하는 예시를 보여주고 있습니다. 데이터베이스 시스템의 제작 과정을 통하여 데이터베이스 설계, 데이터 수집, 제작 및 가공 과정, 데이터베이스 시스템의 유용한 활용 예시를 확인할 수 있습니다. 버스, 택시와 같이 따릉이와 연계할 수 있는 다양한 대중교통 데이터를 추가로 활용한다면 더욱 정확하게 따릉이의 발전방향과 혼잡한 교통 환경 개선을 제시할 수 있는 유용한 정보를 도출할 수 있을 것이다.

• Journal of Korean Society of Transportation
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• v.34 no.6
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• pp.570-579
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• 2016

This study proposes a concept of Stepwise Transfer Coefficient(STC) which implies greater transfer cost with increasing the number of transfers. Thus, the public transport information system provides the choice sets of travel routes by the consideration of not only transportation time but also the optimum number of transfers. However, path choice problems that involve STC are found to include non additive cost, which requires additional route enumeration works. Discussions on route enumeration in actual transportation networks is very complicated, thereby warranting a theoretical examination of route search considering STC. From these points of view, this study results in a probability based transit trip assignment model including STC. This research also uses incoming link based entire route deletion method. The entire route deletion method proposed herein simplifies construction of an aggregation of possible routes by theoretically supporting the process of enumeration of the different routes from origin to destination. Conclusively, the STC reflected route based logit model is proposed as a public transportation transit trip assignment model.