• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.16 no.2
• /
• pp.92-104
• /
• 2017

Previous management for speed in road traffic system was aimed only to the improvement of mobility and safety. However, consideration for the aspect of environment and energy consumption efficiency was valued less than the former ones. Nevertheless, economical damage scope caused by climate change has been increasing and it is estimated that environmental value will be increased because of the change of external circumstances. In addition, policy for reducing carbon emission in transportation system was assessed as insufficient in improving the condition of traffic road since it only focused on the transition of private vehicle into public transportation and development of eco-friendly car. Now it is the time to prepare for the adaptation strategy and precaution for the increased number of private vehicle in Korea. For this, paradigm shift in traffic operation which includes the policy not only about the mobility but also about caring environment would be needed. It is needed to be able to monitor the actual amount of greenhouse gas in real time to reduce the amount of emitted greenhouse gas in the aspect of traffic management. In this research, a methodology which can build on-line greenhouse gas emission monitoring system by using real time traffic data and predicting the circumstance in next 5 minutes was suggested.

• Journal of Korean Society of Transportation
• /
• v.23 no.8 s.86
• /
• pp.203-213
• /
• 2005

Recently, with the increase of the interest to global environmental problems, bicycle has been recognized as the most environmentally friendly transportation mode. To promote cycling, it is necessary to ensure road space that bicycle can keep running safely and smoothly. This paper aims to evaluate the district with rearranged road space and network, given priority to bicycle, comparing the traditional district which are given priority to car from viewpoints of environment, safety and accessibility. As evaluation indicators, the carbon dioxide emission on the environment. the number of collision between car and bicycle on safety and an accumulated frequency measure on accessibility were used. As the result, it was clarified that bicycle road measures to create bicycle road by reallocation of road space and form bicycle exclusive network were effective.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.5
• /
• pp.595-603
• /
• 2019

To alleviate the demand on private car that is constantly increasing, Busan Metropolitan City (BMC) has established Bus Rapid Transit (BRT) to revitalize public transportation. But there are no unified lane system between BRT and general bus stations, which makes off-lane turning general bus to contribute to congestion. And as the bottleneck phenomenon at entrance/exit accelerates the congestion, there has been huge dissatisfaction among commuting drivers. Therefore, this study identifies efficient methods to operate better through measuring civilian awareness. We evaluate both satisfaction and drawbacks on BRT service with Importance-Performance Analysis (IPA). We first distinguish the groups by the awareness on BRT and their main transit usage, and then clarify the difference between the groups. And as a result, the group who is positive to BRT and uses buses often demands improvement in bus indoor comfort and curbing jaywalking. On the other hand, group who is negative to BRT and uses private cars often demands improvement in lane changing and the moving speed of private cars. We next examines the groups with MDPREF, one method of Multidimensional Scaling (MDS). And we have clarified that the evaluating criteria and the individual attributes of the groups corresponds very well.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.15 no.3
• /
• pp.94-104
• /
• 2016

In this study, factor and cluster analysis are used to classify characteristics of the administrative basic unit, "Dong", of the Incheon Metropolitan City. Travel characteristics of the classified groups are then analyzed through databases to provide directions of urban transportation planning. First, industrially developed administrative-dong show a high commuting volume by using cars. Thus the analysis indicated the need to staggering work-hour system and signal operating system policy. Second, commercially developed administrative-dong show heavy use of public transportation and long distance commute as well as high volume of shoppers. The analysis indicated the need to improve road infrastructure. Third, densely populated administrative-dong show a high rate of commute to work and school as well as long hours of commuting. Thus the analysis indicated the need to improve road transportation policies during rush hours. Fourth, administrative-dong with multiple characteristics feature heavy pedestrian traffic thus the study analyzed the need to improve pedestrian environment policies. Lastly, administrative-dong in close proximity to train stations feature extensive use of biking as well as high volume of shoppers and students commuting. Thus the study analyzed the necessity to have plans to enhance accessibility.

• The Journal of Society for e-Business Studies
• /
• v.27 no.2
• /
• pp.193-204
• /
• 2022

Smart card data is representative mobility data and can be used for policy development by analyzing public transportation usage behavior. This paper deals with the problem of classifying metro stations using metro usage patterns as one of these studies. Since the previous papers dealing with clustering of metro stations only considered traffic among usage behaviors, this paper proposes clustering considering traffic time as one of the complementary methods. Passengers at each station were classified into passengers arriving at work time, arriving at quitting time, leaving at work time, and leaving at quitting time, and then the estimated shape parameter was defined as the characteristic value of the station by modeling each transit time to Weibull distribution. And the characteristic vectors were clustered using the K-means clustering technique. As a result of the experiment, it was observed that station clustering considering pass time is not only similar to the clustering results of previous studies, but also enables more granular clustering.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.37 no.2
• /
• pp.369-377
• /
• 2017

The city of Busan implemented the 'Bus Quasi-Public Operating System' as a part of the Public Transit Activation Policy. Although the reorganization of routes and fares had temporarily increased the number of passengers, it is facing a downtrend currently. This implies the limited capability of increasing the use of the city buses only by adjusting the systematic components of the system. Thus, the research aims to analyse the effect of improving the 'kindness service' as an alternative way to vitalize the use of city buses. The analysis uses the survey encompassing sixteen 'kindness service' factors that was collected from the passengers and the drivers of the city buses in Busan, and some of the notable findings are followed. According to the analysis of determining the level of importance on the 'kindness service' factors, four major categories were derived; a category to maintain/reinforce the kindness service, a category to make incremental improvement, a category to encourage improvement, and a category to make focusing improvement. Using the categories, the study then performed the cluster analysis on 33 city bus companies in Busan to determine the differences between the companies. Consequently, the companies were grouped into four; two groups (14 companies) showing more importance on the kindness service while the other two groups (19 companies) showing less. In addition, multivariate an analysis of variance (MANOVA) identified the significant differences of the four categories among the groups of companies, and the findings were taken into consideration on further improvement plans of kindness service in the city buses of Busan.

• The Journal of the Korea Contents Association
• /
• v.19 no.4
• /
• pp.682-689
• /
• 2019

This study aims to spatialize the gap between obesity levels through the body mass index, an objective indicator of the level of health among vulnerable people. Thus, areas where the BMI showed cluster patterns with spatial high and low values were extracted and the characteristics of the region were analyzed. The analysis showed that the I statistics for the obesity rate were 0.07 and the z-score was 4.39, confirming spatial autocorrelation. For z-score, it was much larger than the maximum threshold of 2.57. This means that the rate of obesity among the socially vulnerable is regional, and this gap is spatially significant. The results of comparing and analyzing the local environment for these areas of obesity and health care were found to be areas with poor public transportation, less readily available parks, and a concentration of single and multi-generation housing. The analysis results of this study are meaningful in that they provide spatial implications for the health of the socially vulnerable class that previous studies have neglected.

• The Journal of the Korea Contents Association
• /
• v.15 no.2
• /
• pp.196-207
• /
• 2015

This study introduced the concept of 'Media-content repertoire', which indicates the set of favorite media-content combinations of media users and extracted five media user types based on those combinations. We used the range of media(i.e., smartphone, tablet, PC, and TV) and entertainment content(i.e., movie, broadcasting, music, and game) for the analysis. Also, we investigated the differences between those types including demographic variables, individual characteristics, and content buying behavior and we found that statistically significant differences exist among them. Those include 'non-user'(i.e., lower level of media use), 'screen user'(i.e., 50s, TV-centered media use), 'variety seeker'(i.e., 20s. heavy public transport user), 'selective focus'(i.e., 20,30s, movie&broadcasting-centered media use), and 'heavy user'(i.e., high level of media use and consumption). The results provide both academic implications(e.g., extension of media repertoire concept) and practical implications(e.g., direction to the target marketing for each user type).

• Journal of the Economic Geographical Society of Korea
• /
• v.10 no.4
• /
• pp.427-443
• /
• 2007

The purpose of this study is to investigate spacio-temporal structures of traffic flows on the subway network in the Metropolitan Seoul, and the relationships between topological structures of traffic flows and land use patterns. In particular we analyze in the topological structures of traffic flows on the subway network in time dimension as well as in spatial dimension. For the purpose, this study utilizes data mining techniques to the one day T-card transaction data of the last four years, which has developed for exploring the characteristics of traffic flows from large scale trip-transaction databases. The topological structures of traffic flows on the subway network has changed considerably during the last four years. The volumes of traffic flows, the travel time and stops per trip have increased until 2006 and decreased again in 2007. The results are visualized by utilizing GIS and analyzed, and thus the spatial patterns of traffic flows are analyzed. The spatial distribution patterns of trip origins and destinations show substantial differences among time zones during a day. We analyze the relationships between traffic flows at subway stops and the geographical variables reflecting land use around them. We obtain 6 log-linear functions from stepwise multiple regression analysis. We test multicollinearity among the variables and autocollelation for the residuals.

• Korea journal of population studies
• /
• v.33 no.1
• /
• pp.1-25
• /
• 2010

This study looks into travel behavior differences by sex, gender role and economic status. Source for analysis in this study is from Time Use Survey conducted by Korea National Statistical Office in 2004. The sample considered of 3,122 women's time diaries and 2,678 men's, whose age range from 20-59. The results of the study show that married women, women with child under age 6 and unemployed women have less travel time quantity, travel during the daytime and use mass transportation than men and single women. However single women and working women, especially working women having high income level, show more similar patterns of travel behavior with men's which are quite unvarying regardless of marital, parental and economic status.