• Archives of design research
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• v.19 no.4 s.66
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• pp.61-70
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• 2006

The functions and roles in the various fields of modern society are changing into the unified and multiplex structure, which is simultaneous and virtual communication environments beyond physical space and time, by the digital IT technology. The urban traffic system is also being intellectualized in order to solve urban traffic problems and convenient services by using digital IT technology. The bus, which is the one of the most common public transportation, are suffering in the decrease of bus service quality and the bus passengers rate because of the development of other public transportation systems such as the subway and electric railway and by rapidly increasing private cars. By recognizing these problems, many domestic and overseas cities are promoting to introduce the Bus Information System (BIS) to improve service quality of buses through the intelligent traffic system. According to the construction of this new information system called the Bus Information System (BIS), the new bus stop configuration system and design plans are being required to solve the existing bus stop information system. Therefore, this research was conducted to suggest an effective BIS configuration system plan and synthetic design goals based on the investigation the problems of the information system and the BIS configuration system for Busan city. Also, this research are conducted the below actions as follows: First, the literature survey was conducted, such as theoretical documents on the bus stop and the Bus Information System(BIS), Also, the design trend of the BIS was examined through domestic and overseas BIS cases studies. Scondly, the problems related to the information system in Busan city bus stops were investigated to investigate the present state and problems of the Bus Information System (BIS). Finally, as a result of this research, the effective BIS configuration system plan and design approach methods of bus stops were proposed for by Busan city based on the above investigation results.

• Journal of Digital Convergence
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• v.8 no.4
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• pp.19-33
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• 2010

As one of the most traffic devices, bus has played a great role in Korea for the last years. However, a great many peoples in big cities have continually decreased with the increase of private car ownership. It causes lower quality of bus service and unstability of operation in many bus companies. In the several local government, the operation system of bus was changed to Bus Quasi-Public Operating System. The aim of this study is to assess the effects and to suggest improvement strategies of Bus QPOS. According to the results of the analysis, Bus QPOS has brought various positive effects, but it has occurred negative effects, especially a much increase of government subsidies to bus company. To resolve a negative effects, government should examine the whole condition of bus operations. This study suggests strategies to improve Bus QPOS, which is including transparency of management, fair assessment system, standard cost system for bus operations.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.4
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• pp.73-85
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• 2014

Approaching to aging society with increasing transportation vulnerable, most developed countries has positively promote low-floor bus. Such circumstance in Korea has plan to introduce low-floor bus to intra-city bus system which accounted for 30 percent of total number of buses however there is no specific operating plan for this matter. According to the revealed preference study on bus service, the study shows that the efficiency of low-floor is relatively low than that of other buses, therefore, it is necessary to establish feasible plan for bus route selection. Thus, this study is to conduct research on analyzing trip characteristics of transportation vulnerable and establish bus route selection measures for low-floor bus. The result from the survey in Jeollabuk-do Province reveals that the trip purpose of transportation vulnerable is mainly for welfare and medical service, which was made less than 6 times a week. Futhermore, 37.6 percent of transportation vulnerable use buses, thus, it is essential to improve its service quality for enhancing user's convenience and safety. In that transportation vulnerable O-D needs to be established and forecasts future demand for selecting optimal bus route. According to the estimation, route passing through densely populated areas with transportation vulnerable should take the first priority, city circular and other route would be next. Moreover, it is economically efficient that areas populated more than 200,000 with fixed route and less than 200,000 with limited route responsive to demands would be feasible plans. This study will have greater an impact on transportation planning and further research on transportation vulnerable.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.3
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• pp.257-262
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• 2010

SOA (Service-Oriented Architecture), which has become very popular recently, is a new paradigm for software development and application. In this paper, we propose an integrated architecture which is able to effectively manage and control a variety of services for U-City projects focusing on the importance of service integration. SOA has a number of important features such as loose coupling, standard bases, and distributed computing, all of which are the essential elements for merging and providing various services in U-City projects. We exploit the ESB (Enterprise Service Bus) for reflecting those features, which is a core module linking mutually heterogeneous components so that the communication of services can be implemented. In this paper, we discuss the necessity of SOA in U-City services and a possible scenario and method for the implementation. Finally, we propose an integrated architecture for the U-City Integration and Management Center.

• Journal of Korean Society of Transportation
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• v.31 no.4
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• pp.76-84
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• 2013

The main objective of study was to determine the optimum level of bus service by bus route types for the effective improvement of bus route operating in semi-public transportation management. In pursuing the above, this study proposed to classify by bus route types based on publicity, profitability and potentiality. Using this methods of the classification, 113 bus routes in Busan were classified into bus routes of 8 types. And this study proposed desirable management of bus route operation according to 8 bus route types considering 9 bus operating characteristics such as bus route distance, operating number, state of passing through the CBD and so on. For proposing the desirable management, it was to do a statistical analysis of PCA(Principal Components Analysis) and to abbreviate 9 variables to 3. And it was drawn a conclusion effectively by making comparison between 8 bus rout types and 3 bus operating characteristics.

• Korean Journal of Occupational Health Nursing
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• v.24 no.4
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• pp.363-371
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• 2015

Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle of urban bus driver in small-sized companies. Methods: This study included 118 urban bus drivers who completed questionnaires. The data were collected from 6 small-sized bus companies located in a metropolitan city, from January to February 2015. Analyses were done using descriptive statistics, independent t-test, ANOVA, Pearson's correlation, and multiple regression analysis. SPSS/Win 18.0 was used. Results: The scores of HPLP of urban bus drivers were 2.7 (on a 4-point scale). Mean of HPLP sub-scores were self-fulfillment ($3.0{\pm}0.5$), interpersonal relationship ($2.9{\pm}0.5$), physical activity ($2.9{\pm}0.7$), health responsibility ($2.7{\pm}0.5$), healthy diet ($2.6{\pm}0.6$), and stress management ($2.5{\pm}0.5$). Among independent variables, job satisfaction and presence of religion were significantly related to health promoting lifestyle (explained 39.2%). Conclusions: This study revealed that there is a need to strengthen job satisfaction for urban bus drivers' health promoting lifestyle.

• 한국ITS학회:학술대회논문집
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• 2008.11a
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• pp.488-492
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• 2008

• Transportation Technology and Policy
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• v.10 no.6
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• pp.32-41
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• 2013

• Journal of Korean Society of Transportation
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• v.24 no.4 s.90
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• pp.117-127
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• 2006

Many large cities in Korea have implemented or planed to implement a bus information system(BIS) to improve service quality for bus Passengers, mainly by Providing bus arrival time at bus stations. In those systems, similar systematic errors to estimate the bus arrival time occur, which are caused by the cycle time to identify each bus location, the information processing time of the center system, and the cycle time to update the bus arrival information on each terminal. This paper investigated each cause sequentially and estimated three expectations related to the above three causes, respectively using the random incidence concept. Through a validation using real data from a BIS in a city in Korea, fairly amount of improvements on the bus arrival time estimation have been observed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.6
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• pp.1309-1320
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• 2015

This study made an attempt to analyse the relationship between operation environment and fleet size per route which represents the level of service for inner-city bus service. Regression analysis method has been adopted as main analysis tool and 98 routes of bus operation status in Ulsan city as of 2013 has also been selected for analysis target. Correlation analysis was performed to identify the relationship between dependent and independent variables. There are three types of model for whole sample, type operation, and bus route operation system. These are the results of the current study. 1. The model developed for whole sample of 98 routes is as follows. Y(Fleet Size)=$-4.532+0.00002877*X_1$(Revenue). This model shows that it is necessary to have more than 140 passengers per day to increase fleet size of each bus route in Ulsan. 2. Models developed by type of operation (which are standard, express, and middle sized) are shown below. Stand Bus : Y(Fleet Size)=$-10.954+0.00004283*X_1$(Revenue). It is identified that more than 153 passengers need to use standard bus to increase fleet size per each standard bus, Middle Sized Bus : Y(Fleet Size)=-0.859+0.00001438*X1(Revenue). For middle sized bus, at least 52 daily passengers are needed to increase number of bus in each route. 3. Models developed for each route operation systems are as belows. Joint Operation Group : Y(Fleet Size)=$-4.786+0.00003028*X_1$(Revenue). Individual Operation Group : Y(Fleet Size)=$-2.339+0.00002030*X_1$(Revenue). These model provide similar result which 140 people is the minimum number of passenger to raise the number of vehicles in each route. This result shows that the route operation systems does not affect the raise number of cars significantly.