• Journal of Korean Society of Transportation
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• v.21 no.3
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• pp.7-14
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• 2003

Statistics shows that 80% of freeway users travel less than 50km, and only 8% of them do over 100km. It means that the freeway is used for commuting. As a result, the freeway is not used efficiently and social cost is high. The current toll system aims for the efficient usage of the freeway by restraining short-distance trips and inducing long-distance ones. Thus, policies such as minimum toll system and discount for long-distance trips have been carried out. However. these two policies take no account of demand management between the freeway and alternative roads. They merely consider the compensation for charge on users, so the assessment of discount rate and distinction of distance are not reasonable. Consequently, not only the effective demand management but also the evaluation of those policies has been difficult to be achieved. The objective of this paper is to analyze those problematic policies and to establish a reasonable and improved toll system. In addition, this study presents the methodology to minimize social cost, which can be achieved by reducing short trips and encouraging long ones on the freeway. A new methodology of freeway toll system is applied and the results are presented.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.9
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• pp.261-268
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• 2016

One of the most comfortable transportation in our day to day life is the bus, which provides real time information. In order to obtain reliable information on the arrival time of this information, BIS (Bus Information System) needs to analyse the main factor for the traffic environment. To manage the system, regional information analysis by local municipalities should be prioritized. In this paper, we analyse the features that are expected to affect traffic environment by commuting the travel to school, market, tourism and other influences around Suncheon-si, which has the facilities for education, tourism and urban locality. Data cleaning is performed on the DB information that is being collected from characterization BIS, which is organized by day of the week, day and month, to analyse the key factors of the traffic flow. If this is utilized by applying a key factor to the real time information, it is expected to provide more reliable and accurate information.

• Journal of the Korea Society of Computer and Information
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• v.15 no.9
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• pp.19-24
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• 2010

The number of automobiles are continuously increasing in Korea since 1990's and it causes frustrating commuting traffic and holyday traffic. Meanwhile, the obsolete traffic signal control system is still under static control based on the aggregated traffic statistics thus it is not sufficiently adaptive in real world traffic situation that changes in real time. Thus, in this paper, we propose an adaptive signal control system using fuzzy control technology that can react to real time traffic situations. The method computes the priority of signal phases based on the number of waiting automobiles and occupying time on intersection using fuzzy membership functions. The phase with highest priority obtains "proceed" signal. Also, the duration of this "proceed" signal is determined based on the ratio of number of waiting automobiles of given phase and total number of waiting automobiles on intersection. In experiment, we show that the proposed fuzzy control system is better than the static control system for all sorts of traffic congestion situations by simulation.

• The Journal of Sustainable Design and Educational Environment Research
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• v.17 no.3
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• pp.17-25
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• 2018

In this research, we analyze the factors considered by parents of subjects of special education when selecting special educational institutions for children, and present proposals for improving the placement plan of special subjects, The results are as follows. First, for special education subjects, a considerable number of kindergarten processes are required for compulsory education, and special education subjects are selected for elementary school entrance. Second, the factors of choosing the special educational institution of parents of special education subjects are the expertise of the teacher and the operation of the curriculum, the type and extent of child disability, the distance to school and the way of commuting, educational facilities, Treatment room etc). Thirdly, it was found that parents' choices are the largest among schools in the school area, as to how special education institutions of special education subjects are arranged. For proper placement planning, it is necessary to accurately grasp the number of subjects for special education, so the selection time of the subjects of special education shall be the process of kindergarten at the latest, the disparity of special education institutions and the disparity of educational facilities It is necessary to set school books to solve it.

• 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.

• Journal of Korea Planning Association
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• v.53 no.6
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• pp.39-59
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• 2018

This study examines the relationship between the usage of public bike and physical environment factors around the public bike stations using the public bike rental history data from 2016 to 2017 in Seoul, Korea. Focusing on the different influences of determinant factors by distance to public bike station, this study identifies influential factors that affect the usage of public bike. The results of the analysis are as follows. First, both the land use and physical environmental variables of bike station areas show strong associations with the usage of public bike. Second, the usage of public bike is also associated with neighborhood living facilities, business facilities, land use mix, the distance to subway station, public facilities and universities. This finding indicates that public bike has played a role as a transportation mode for the short-distance travel and commuting purposes in everyday life. Third, this study shows that the usage of public bike is strongly associated with the average slope, traffic volume around public bike stations, distance to streams or rivers, and the types of bike lane. This finding also indicates that surrounding environmental factors play an important role in the usage of public bike. Finally, this study identifies the different influences of determinant factors on the usage of public bike by distance to public bike station. This study suggests policy implications for the potential locations of public bike stations in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.1
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• pp.45-53
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• 2019

As the urbanization progresses, the demand for parking in large cities surges compared with that for parking lots. However, the space for securing a parking lot in a large city is physically limited and a budget problem also arises. Therefore, a shared parking system that can utilize existing parking lots is becoming important. This study was carried out to analyze the parking area efficiently for the residents parking area. As a result of the questionnaire survey, it was the most frequent passage to work / commuting and business purposes. The most important factors in parking were 'Parking charge', 'Walking distance to the destination after parking', 'Parking lot searching time' Approximately 46 % of the respondents were female. As a result of the quantitative analysis of the factors influencing the potential use of the intention to use as a dependent variable, it was analyzed that the policy was effective to reduce the parking fee to less than 500 won per 10 minutes and take about 3-6 minutes to search.

• Journal of the Korean Regional Science Association
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• v.35 no.2
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• pp.49-57
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• 2019

The young generation in life cycle that social position is rapidly changing is play an important role in a regional development because they can increase social and natural population in the region. This study analyzed the relationship between the movement of young generation and the regional characteristics including housing market characteristics in Seoul. As the results, the movement of young generation was influenced by commuting distance and location of jobs as the gravity model has suggested. In addition, housing supply and housing price (or Jeonse price) is an important factor for the movement of young generation. It can be inferred that the more price gap such as Jeonse price and housing supply gap are increased, the more out-migration of young generation in Seoul is increased. However, the housing demand of young generation in employment centers will be increased because jobs contribute to increasing the inflow of young people. Therefore, the policies of central and Seoul government that supply housing in job rich and high accessibility areas are needed for young generation. In addition, if public housing and affordable housing are supplied in the other areas, it can contribute to reduce the out-migration of young people in Seoul.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.8
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• pp.889-895
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• 2019

It is not easy to keep time promises in the complex daily lives. Especially, the increase in the number of vehicles causes traffic congestion in commuting time, which results in the delayed arrival and varies greatly depending on the weather conditions. In this paper, proposed is a smart alarm clock that automatically adjusts the alarm time according to weather conditions and suggests ways to deal with traffic congestion. The proposed smart alarm clock is designed to operate the functions of a normal alarm clock using touch functionality. In addition, it is designed to find weather information using open API and to automatically change alarm time to prepare for expected time delay. The proposed design was implemented based on Arduino Mega2560 and a touch TFT-LCD. WiFi module for internet connection, RTC module for clock function and MP3 player module for alarm sound playback were used together. The proposed design has been filed as a patent and is currently under review.

• Journal of Environmental Science International
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• v.28 no.7
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• pp.595-606
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• 2019

This research investigated the characteristics of CO, $CO_2$, and $NO_2$ concentrations at main subway stations in Busan. The annual mean CO concentrations at the Suyeong and Nampo stations were 0.75 ppm and 0.48 ppm, respectively. Annual $CO_2$ concentration at the Seomyeon 1- platform was 649 ppm. The $NO_2$ concentrations at the Seomyeon 2- waiting room and the Yeonsan station were 0.048 ppm and 0.037 ppm, respectively. CO concentration was highest at two times of the day, and was proportional to the number of passengers commuting to and from work. The CO and $CO_2$ concentrations were highest in winter, but $NO_2$ concentration was highest in spring. CO and $CO_2$ concentrations were highest on Saturday and lowest on Sunday. The correlation of CO and $NO_2$ concentrations measured at the subway stations with those at the ambient air quality station were highest at the Seomyeon 1 and 2- waiting room and Jeonpodong. The correlation was lowest at the Yeonsan and Yeonsandong station. The number of days when $CO_2$ concentration exceeded 700 ppm over the last three years at the Seomyeon 1- platform was 174. The findings of this research are expected to deepen understanding of the fine particle characteristics at subway stations in Busan and be useful for developing a strategy for controlling urban indoor air quality.