• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.25-35
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• 2008

The ridership and transit systems are influenced by the expansion of metro-rail in Seoul metropolitan area. However, it has been difficult to measure its precise quantitative influences. Also effective policy implementations have been limited due to the lack of practical evidences. Thus an empirical analysis for an operating metro-rail is essentially required. In this regard, this study examines the impact of the Jungang line on transportation system, whose metro-rail block has been recently started new service. The main interest of this study is to find out the changes of ridership and to forecast the ridership changes by the metro-rail service. The results indicate that the effect on auto users is less than that of bus users. The auto demand is decreased by 33.3% and the bus demand by 66.6%. Additionally, its influence on Gyeonggi-do bus was greater compared with that on the Seoul bus. From questionnaire survey, this results could be confirmed. To sum up, the metro-rail gives less influences on auto users, while it gives greater influences on bus users.

• Proceedings of the KSR Conference
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• 2001.10a
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• pp.481-487
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• 2001

In this study, the relation between cant deficiency(C＇) and rail wear in Seoul Metro Line 5 with STEDEF track structure(concrete bed) is studied. As a result, it is found that cant deficiency have a direct influence on rail wear, and under the condition that other negative effects are neglected, the cant deficiency in Metro Lines is demanded to set as little as possible.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.13-18
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• 2018

In this study, we classify Seoul metro stations according to boarding and alighting patterns using machine earning technique. The target data is the number of boarding and alighting passengers per hour every day at 233 subway stations from 2008 to 2017 provided by the public data portal. Gaussian mixture model (GMM) and K-means clustering are used as machine learning techniques in order to classify subway stations. The distribution of the boarding time and the alighting time of the passengers can be modeled by the Gaussian mixture model. K-means clustering algorithm is used for unsupervised learning based on the data obtained by GMM modeling. As a result of the research, Seoul metro stations are classified into four groups according to boarding and alighting patterns. The results of this study can be utilized as a basic knowledge for analyzing the characteristics of Seoul subway stations and analyzing it economically, socially and culturally. The method of this research can be applied to public data and big data in areas requiring clustering.

• Journal of the Korean Society for Railway
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• v.10 no.1 s.38
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• pp.57-66
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• 2007

1974. 8. 15 SeoulMetro, beginning with the first electric railway established at six cities, so it is managing mass transportation of traffic. Especially, in case of seoul, It is managing that from one to eight lines, 286.9km, 265 stations have installed and now it is carrying about 5.5million of passengers everyday, and 2,000million passengers a year. So accident is increasing from the station every year. For this measure, SeoulMetro prepares safety fence for passengers crash but, as suicides or people who watch the accident took place, for at the bottom of passengers crash protection, PSD installing is needed. Even though, PSD is managing ATO section but, in controlling SeoulMetro, one to four lines sections are (ATS, ATC)section. Between as ATS, ATC section, ATO section, subway gate and PSD must have opened and crossed always at the time. And the interlock control corrosion protection gate, managing skills with installation, method, using in history, apply to 10rail cars one train sets, and maximum applying 2224% sections of passengers congested that consideration is to be needed. So 2004, SeoulMetro improved technology and basie design of PSD at ATS section. Based on this, from 2005.4 to 2006.6, using subway 2lines per 12stations set the model installation(full type 11stations, half type 1station) After installing in case of success, it is going about to suggest that effective analysis and hereafter subject.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.595-600
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• 2011

This study analyzed passenger's access modes that connect to regional railway station and developed a model of access mode choice based on transit smart card data of Seoul station as a case study. The study boundary includes sixteen bus stops around the station. The results show that most passengers access to station have less than two transfers. Of total 15000, eighty percent of passengers use metro and the rest of people take a bus. Interestingly, it is found that almost same proportions of passengers use metro and bus for egress the station. Consequently, metro is found to be most likely used mode compared to bus for both access and egress trips.

• Journal of the Korea Society of Computer and Information
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• v.23 no.8
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• pp.133-142
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• 2018

Subway metro scheduling is one of the most important problems impacting passenger convenience today. To operate efficiently, the Seoul metro uses regular, periodic schedules for all lanes, both north and southbound. However, many past studies suggest that non-periodic scheduling would better optimize costs. Since the Seoul metro is continuously facing a deficit, adopting a non-periodic schedule may be necessary. Two objectives are presented; the first, to minimize the average passengers' waiting time, and the second, to minimize total costs, the sum of the passenger waiting time, and the operational costs. In this paper, we use passenger smart card data and a precise estimation of transfer times. To find the optimal time-table, a genetic algorithm is used to find the best solution for both objectives. Using Python 3.5 for the analysis, for the first objective, we are able to reduce the average waiting time, even when there are fewer trains. For the second objective, we are able to save about 4.5 thousand USD with six fewer trains.

• Journal of the Korean Geographical Society
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• v.45 no.5
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• pp.592-608
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• 2010

This study investigates the diurnal pattern of transit ridership in the Metropolitan Seoul area. For the purpose, we use a weekday Smart Card passenger transaction data in 2005. Eleven passenger trip patterns are found from 2.74 million passengers moving on the Metropolitan Seoul Metro system. Among them, we analyze 2.4 million passengers blonging to five trip types having only one or two transaction record during a day. A total of 357 metro stations are classified to four types according to their diurnal pattern of passenger riderships. We analyze the relationships between passenger's trip chain patterns and subway station's diurnal transit ridership patterns. The result shows that the ratio of the number of passengers of particular time of the day is hierarchically related with trip chain patterns.

• Journal of the Korean Society for Railway
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• v.18 no.6
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• pp.586-595
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• 2015

Based on an observation that tag-out times of passengers from Smart Card data were clustered, Hong et al.[1] recently developed a precise algorithm that detects a logical path for metro passengers. The logical path means the sequence of train boarding and alighting. In this paper, we observe that tag-out times of passengers in Seoul Metro Line 9 were also clustered; we trace an actual logical path of passengers by applying the algorithm. As a result, we identify 91% of passengers successfully and find their logical paths; we also investigate passengers'preferences between express and local trains.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.58-68
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• 2007

Thorough preparations and investigations must be done in order to prevent the hazards which will happen when workers work on the roof of the rolling stocks. Some industrial disasters can be prevented by solving the risks involved in the working of the work processes. Falling accidents tend to happen from the roof of the trains when workers work in the high position. So through the analysis of the 4M( Man. Machine, Media, Management), this paper analyzed the risk factors among the roof works and all problems of the maintenance. Also this paper suggests new devices or new methods to prevent falling disasters and to relieve the mental senses of uneasiness.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1221-1226
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• 2007

The subway with the initial constructive expense which is enormous together is the public transportation means where the many expense is expended in the operation and maintenance civil official. Seoul Metro until initial opening to traffic after present time cannot escape every year deficit to be, the cause is a possibility of seeking from the fare system which is short in transportation prime cost. Currently Seoul Metro is operating with the distance proportional fare system the passenger ticket system which is simple (usual volume, group volume and fixed amount volume, affection renunciation, charge free volume). When the biased characteristic of the user it plans considering from the goods development side for the variety for and a deficit solution, against the fare system systematic it researches and solution plan politically. Financial of the subway operation agency young the investigation against the present condition of the hazard subway fare system which is solved the bud with problem point a fare system from the research which it sees consequently and improvement program under analyzing the man with underdeveloped genital organ. Base on the reporter to analyze the introduction plan which with the character which will reach it follows with the necessity of introduction of the 1st passenger ticket (24 hour volume).