• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2225-2234
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• 2011

According to Railway Safety Act, Korea Transportation Safety Authority (KOTSA) has been entrusted with 'Integrated Railway Safety Audit (IRSA) and has implemented the safety audit to the Railway operation agencies such as Korea Railway (KORAIL) and the Railway facility management organization such as the Korea Rail Network Authority (KR Network). The target of IRSA is to establish the effective rail safety management system and to raise the safety level of the Railway operation and facility agencies by checking synthetically their performance of safety duties with sincerity according to the Railway Safety Act. Even though newly introduced IRSA is conducted smoothly, it is necessary to study the methodology and criteria of the state's safety audit system. The purpose of this paper is to improve the efficiency of IRSA by the comparative research between IRSA and other similar safety audit system and to establish the consecutive improvement concept of IRSA. Second purpose is to confirm the effectiveness of IRSA by the analysis of the relationship between audit results and the safety level of the rail operation agencies.

• International Journal of Railway
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• v.7 no.1
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• pp.24-33
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• 2014

The Korean high-speed rail (HSR) began its commercial service in 2004. This service has been created significant changes in the system of intercity passenger travels of Korea. However, the actual ridership was approximately half of the estimated one in the planning stage. In this background, this paper presents the difference between the stated preference (SP) before the HSR service and the revealed preference (RP) after it using the intercity travel mode choice models. Several meaningful differences are found in terms of the factors affecting the travel mode choice, the estimation results of model, the monetary values of time, and elasticities. While the access/egress travel time of high-speed rail is less important than in-vehicle travel time in the SP sample, they have same weight in the RP sample. Also the RP models show that the probability of choosing HSR can be decreased by the increase of the number of vehicles in household contrary to the results from the SP models. The monetary values of travel time are relatively high and the direct and cross elasticities in response to changes in level-of-service of HSR are relatively low in the RP sample. This Korean case is expected to offer referable material for preparing high-speed rail services in other countries by showing the difference between the SP and RP before/after the actual service, identifying the importance of access/egress travel time and lower direct elasticities of HSR demand.

• Smart Structures and Systems
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• v.29 no.4
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• pp.625-640
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• 2022

Maglev rail joints are vital components serving as connections between the adjacent F-type rail sections in maglev guideway. Damage to maglev rail joints such as bolt looseness may result in rough suspension gap fluctuation, failure of suspension control, and even sudden clash between the electromagnets and F-type rail. The condition monitoring of maglev rail joints is therefore highly desirable to maintain safe operation of maglev. In this connection, an online damage detection approach based on three-dimensional (3D) convolutional neural network (CNN) and time-frequency characterization is developed for simultaneous detection of multiple damage of maglev rail joints in this paper. The training and testing data used for condition evaluation of maglev rail joints consist of two months of acceleration recordings, which were acquired in-situ from different rail joints by an integrated online monitoring system during a maglev train running on a test line. Short-time Fourier transform (STFT) method is applied to transform the raw monitoring data into time-frequency spectrograms (TFS). Three CNN architectures, i.e., small-sized CNN (S-CNN), middle-sized CNN (M-CNN), and large-sized CNN (L-CNN), are configured for trial calculation and the M-CNN model with excellent prediction accuracy and high computational efficiency is finally optioned for multiple damage detection of maglev rail joints. Results show that the rail joints in three different conditions (bolt-looseness-caused rail step, misalignment-caused lateral dislocation, and normal condition) are successfully identified by the proposed approach, even when using data collected from rail joints from which no data were used in the CNN training. The capability of the proposed method is further examined by using the data collected after the loosed bolts have been replaced. In addition, by comparison with the results of CNN using frequency spectrum and traditional neural network using TFS, the proposed TFS-CNN framework is proven more accurate and robust for multiple damage detection of maglev rail joints.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.155-162
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• 2009

The recent increase of light rail construction by the private sector in Korea has caused a new issue in forecasting rail demand. Integrated fare systems between several rail operators is convenient and brings cost savings to users, and therefore is also very effective in increasing demand. However, it causes some short-term revenue loss to operators so that the private sector often suggests a non-integrated fare system. The current rail demand forecasting model is based upon an integrated fare system. Thus this model cannot be used to forecast the demand with a non-integrated fare system. Some value of transfer fare should be estimated and applied to forecast the demand in a non-integrated fare system. This study conducted a stated preference (SP) survey on urban railway passengers and estimated the value of transfer fare. The estimated value is 2,609 Won/hr, which is about 52% of in-vehicle time. This shows railway users have a tendency to pay more for transfer fares to save time or distance. This value has some limitations since it is derived from the SP survey. If some non-integrated fare system is applied in the future and a RP survey is conducted and compared with these study results, a more clear value of the transfer fare will be derived.

• Journal of Korean Port Research
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• v.8 no.1
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• pp.3-15
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• 1994

Most of Cities are suffering from the traffic congestion problem with the vehicles increased. Especially, the City of Pusan is experiencing the severest traffic congestion with the lower read capacity and the higher travel demand than any other cities in the country. Thus, the purpose of this study was to grasp the conditions, review the problems and finally suggest the improvements which we faced at this time for the construction of the Urban Transportation System considered in Pusan area. Based upon the results, it was concluded that firstly the Urban Transportation System(UTS) in Pusan area should be constructed by the Public Transportation System in the center of the Public Transit Modes(i.e., bus and subway), secondly the Para-transit Modes(i.e., Light Rail Transit, LRT) introduced, and thirdly the Transportation Demand Management(TDM) implemented with the expansion of the transportation facilities if possible.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2539-2547
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• 2011

This paper will introduce the safety authorization system for light rail transit(LRT) through investigating safety certification & safety authorization in foreign country and aviation field in Korea. The safety authorization system proposed by the government these day was also investigated. Korea Transportation Safety Authority(KOTSA) have conducted safety validation process on Busan-Gimhae LRT before its revenue service during three months since Jan. of 2011. We describe the overview of these validation activities, results and safety certification issued. Learning from this process, we propose the standardized safety validation process including checklists which can be applied to common unmanned light rail system. This study will be a basis of railway safety authorization for LRT and will be continually improve its application ability by the future study.

• Journal of the Korean Society for Railway
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• v.8 no.6 s.31
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• pp.592-596
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• 2005

This study analyzed changes of train operation between Seoul~Cheonan after the introduction of new electrified rail in 2005. As expected number of passengers were reduced at specific service section and several railroad stations which were served by the Mugunghwa. Also, the statistic shows that passenter demand concentrated in a specific time, so train service frequency and level of service need to be modified to meet with changed demand pattern. The purpose of this paper is to identify critical demand pattern, especially, in several section of the railroad system. This studies provide a railroad transportation system that is significantly more efficient, with far greater capacity, by providing solutions to the problems of congestion impact.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.12-19
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• 2016

An average of 20 million individual transit unit activities per day on the Seoul-Gyeonggi-Incheon public transportation network are provided as transportation card analysis data by the metropolitan district (99.02% by 2014 standard, Humanlive, 2015.4). The metropolitan transportation card data can be employed in a comprehensive analysis of public transportation users' current transit patterns and by means of this, an effective use plan can be explored. In enhancing the existing information on the bus and rail integrated network of the metropolis with public transportation card data, the constraints in the existing methodology of metropolitan transit analysis, which functions on a zone unit origin and destination basis, can be overcome. Framework for metropolitan public transportation card data based integrated public transportation analysis, which consists of bus and rail integrated transport modes, is constructed, and through this, a single passenger's transit behavior transit volume can be approximated. This research proposes that in the use of metropolitan public transportation card data, integrated public transportation usage, as a part of individual passenger spatial movements, can be analyzed. Furthermore, metropolitan public transportation card usage data can provide insights into understanding not only movements of populations taking on transit activities, but also, characteristics of metropolitan local space.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.94-101
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• 2016

With increasing global concerns for environmental impacts, efforts have been made to encourage a modal shift from road freight to an eco-friendly transport system such as rail freight. In Korea, the government has set master plans for a green transport system but has not taken any substantial action to promote rail freight transport. In developing policies and actions to promote rail freight, quantitative studies on environmental impacts among transportation means are essential. This study examined the air pollutant emissions and greenhouse gas (GHG) emissions per unit freight transported by road and rail, respectively. To improve the accuracy, we analyzed emission data and freight transport mileage of rail freight considering diesel locomotives and electric locomotives separately. The results show that unit air pollutant emissions (except SO2) from road freight are about 7~15 times more than those from rail freight. In addition, the GHG emission unit of road freight is about 4 times higher than that of rail freight.

• Journal of Korean Society of Transportation
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• v.30 no.3
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• pp.17-30
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• 2012

This study analyzes the basic characteristics needed for motivating modal shift from truck to rail. The object of the study is to consider the resistance factor for container transported inland and the object point is the transfer node where modal shift occurs. The main contents of the study are as follows. First, the study looks at what shippers, engaged in inland transport of container, think of current transfer node environment. From this, the study analyzes what resistance factors are attributable to the lack of motivation in modal shift from truck to rail. Second, the study estimates mode choice models in which the resistance factors at transfer node are applied. Also by using this, the study draws out elasticities, and analyzes characteristics of resistantance factors in modal shift. Third, as its result, the study suggests methods to promote modal-shifting container transport from truck to rail.