• Journal of the Korean Society for Railway
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• v.9 no.4 s.35
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• pp.394-400
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• 2006

Since Seoulmetro built the first line of electric railway at seoul 1974, the passengers of railway have been increased rapidly, and electric railway requires more electric power for the greater capacity of transport. It is important that we prevent the accidents related with the subway, because all systems of subway are constructed in artificial underground structure. Since the previous versions of the earth system were built to meet the old standards of the electric facility for the lightning, some accidents related with the DC earth fault are causing secondary damages to the electric equipments. So, the old grounding system must be improved, and new standards of grounding system are required. We compare the grounding systems of the domestic railway corporations and the accidents that are related with the grounding systems. And we give ideas to improve the grounding systems and present standards which are suitable to electric railway.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.353-364
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• 2011

This paper presents the ground behaviour of shield TBM lunching area during excavation. In order to perform this study, a scaled model test was carried out in the 1/45 scale for a field tunnel in practice where the tunnel had about 7.8 m diameter at Seoul Metro Line 9 construction site. The test to simulate earth pressure balance (EPB) shield TBM tunnelling at the lunching area was conducted with the developed small scaled shield TBM machine. Measurements were performed during simulation of excavation for total jacking thrust force, ground displacements and pressures. Based on the analysis of simulation results, the stability of ground was verified and evaluated. In particular, the suitable reinforcement range and methods are also suggested. In addition, these results are useful for engineers and technicians to select suitable and serviceable machine operation parameters and reduce environmental influence at all stages of tunnel construction.

• Journal of the Korean Society for Railway
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• v.16 no.4
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• pp.340-347
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• 2013

This paper studied the causes of job stress of driving crews working in Metropolitan Transit Authorities in Daejeon, Daegu, Seoul Metro Line 9, and Incheon, analyzing psychological, physical, and environmental factors, along withdriving crews' assignments. Regarding driving crews' assignments, it was found that driving crews had strong senses of obligation for their job, and hence their aptitude for their job was in accordance, and also it was found that most driving crews worked devotedly with a desirable occupational view and pride. However, psychological and physical factors that contributed to stress were identified: lack of sleep, high task burden, physical fatigue, and boring daily life. Furthermore, the driving crews' irregular working conditions and irregular meal time and burden related to on-time transit service with prolonged immobilization raised their stress levels. In terms of external environmental factors, it was found that driving crews' anxiety due to possible accidents caused a roughly four-fold increase in stress levels compared to other factors. Furthermore, personnel system and salary issue were also found to be closely related to the driving crews' job stress.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.5
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• pp.100-111
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• 2019

The existing selected station analysis (SSA) method analyzes the link transfer mode data between origin and destination of individuals passing through stations from a microscopic standpoint. As such, existing SSA is insufficient as it uses integrated analysis using macroscopic data such as subway lines. This research builds a line chain OD based on path search of individual passenger's movement through the subway, and explores means to utilize the findings. First, a method is proposed that searches the traversed subway path from the linked passage modes that the passenger uses and applies the results to SSA line analysis. Compared to the existing SSA, this method provides for analysis of commonly conflicting features such as the line on which the station is passed, and the stations included on the line thanks to the presence of complete information of the individual passenger's traversed path. It also allows for integrated observation of the line chain OD that approaches a certain station. For enhanced understanding, Seoul Metro Line 9 is used as a case study to demonstrate the integrated formulation concept of line chain OD centered around a certain station as well as the macroscopic features of the traversed path that approaches stations included on the line.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.5
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• pp.688-694
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• 2018

The transition section of the overhead rigid conductor rail (ORCR) consists of a direct induction device and a limit point to prevent the power supply failure and failure of the electric railway vehicle pantograph due to the difference of the uplift in the catenary line. In T-Bar transition section, a twin simple catenary is mostly installed between the overhead catenary system (OCS) in the ground section and the ORCR in the underground section. In this paper, we compare and analyze the possibility of replacing the twin simple catenary with heavy simple catenary. The reliability of numerical analysis results was confirmed by comparing field test with numerical results. Comparing the numerical results of the twin simple catenary with the heavy simple catenary in the transition section, the difference uplift is 5.9[mm] on average. When applying heavy simple catenary instead of twin simple catenary, the slight difference of uplift can be compensated by adjusting the height of hanger-ear or support bracket.

• Spatial Information Research
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• v.19 no.4
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• pp.11-20
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• 2011

In accordance with low carbon and green growth paradigm, a subway is one of major public transit systems for resolving traffic congestion and decreasing traffic accidents. In addition, as subway networks expand, passengers' travel pattern in the subway network change and consequently affect the urban structure. Generally, new subway route has been planned and developed, mainly considering a travel demand forecast. However, it is desired to conduct an empirical analysis on the forecast model regarding change of travel accessibility and passenger demand pattern according to new subway line. Therefore, in this paper, an alternative method, developed based upon a spatial syntax model, is proposed for evaluating new subway route in terms of passenger's mobility and network accessibility. In a case study, we constructed subway network data, mainly targeting the no 9 subway line opened in 2009. With an axial-map analysis, we calculated spatial characteristics to describe topological movement interface. We then analyzed actual modal shift and change on demand of passengers through the number of subway passenger between subway stations and the number of passenger according to comparative bus line from Smart Card to validate suggested methods. Results show that the proposed method provides quantitative means of visualizing passenger flow in subway route planning and of analyzing the time-space characteristics of network. Also, it is expected that the proposed method can be utilized for predicting a passengers' pattern and its impact on public transportation.

• Journal of the Korean Society for Railway
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• v.18 no.5
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• pp.419-425
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• 2015

When a train is delayed because of a disturbance, the time interval between successive trains increases and high-frequency metro lines can become unstable. Time interval control is therefore necessary in preventing such instabilities. In this paper, we propose an optimal interval control algorithm that is easy-to-implement and that guarantees system stability. In the proposed method, the controlled trains are determined from the time interval deviations between successive trains; the control algorithm for staying time is designed by use of a discrete traffic model to ensure an optimal time interval between successive trains. The results of a computer simulation are also given to demonstrate the validity of the proposed algorithm.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1547-1552
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• 2014

AREX (Incheon Airport Railway Express) operates trains between Seoul and Incheon Airport. One type of trains stops on every 10 stations, and another only on the two end-stations which called an Express train. The passengers traveled on express trains are very small since there are only two stops, Seoul and Incheon Airport Stations. The passengers of express trains will be more attracted if the express train stops on the intermediate stops (Gimpo station) since Line #9 and Line #5 are connected to from Gangnam. An on-board survey was conducted to predict the potential demand in case the express train stops at the Gimpo station. Further the costs required to improve platforms of the station were estimated to figure out the economic feasibility against the demand increases. It analyzed 938 increases for the case of intermediate stopping on the same travel time condition and 1,299 increases for the case of extra stop with decreased travel time. The study concluded the latter case appears desirable in the stance of long-term while both cases are economically feasible.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.5
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• pp.1-17
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• 2021

Identifying the exact train and the type of train boarded by passengers is practically cumbersome. Previous studies identified the trains boarded by each passenger by matching the Automated Fare Collection (AFC) data and the train schedule diagram. However, this approach has been shown to be inefficient as the exact train boarded by a considerable number of passengers cannot be accurately determined. In this study, we demonstrate that the AFC data - diagram matching technique could not estimate 28% of the train type selected by passengers using the Seoul Metro line no.9. To obtain more accurate results, this paper developed a two-step method for estimating the train type boarded by passengers by applying the AFC data - diagram matching method followed by a mixture distribution analysis. As a result of the analysis, we derived reasonable express train use/non-use passenger classification points based on 298 origin-destination pairs that satisfied the verification criteria of this study.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.111-128
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• 2019

Subways are eco-friendly public transportation that can transport large numbers of passengers safely and quickly. It is necessary to predict the accurate number of passengers in order to increase public interest in subway. This study groups stations on Lines 1 to 9 of the Seoul Metropolitan Subway using clustering analysis. We propose one final prediction model for all stations and three optimal prediction models for each cluster. We found three groups of stations out of 294 total subway stations. The Group 1 area is industrial and commercial, the Group 2 ares is residential and commercial, and the Group 3 area is residential districts. Various data mining techniques were conducted for each group, as well as driving some influential factors on demand prediction. We use our model to predict the number of passengers for 8 new stations which are part of the 3rd extension plan of Seoul metro line 9 opened in October 2018. The estimated average number of passengers per hour is from 241 to 452 and the estimated maximum number of passengers per hour is from 969 to 1515. We believe our analysis can help improve the efficiency of public transportation policy.