• 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.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.118-133
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• 2020

Research interest in the Mobility-as-a-Service (MaaS) concept for enhancing users' mobility experience is increasing. In particular, dynamic pricing techniques based on reinforcement learning have emerged since adjusting prices based on the demand is expected to help mobility services, such as taxi and car-sharing services, to gain more profit. This paper provides a simulation framework that considers more practical factors, such as demand density per location, preferred prices, the distance between users and drivers, and distance to the destination that critically affect the probability of matching between the users and the mobility service providers (e.g., drivers). The aforementioned new practical features are reflected on a data structure referred to as the Matching Matrix. Using an efficient algorithm of computing the probability of matching between the users and drivers and given a set of precisely identified high-demand locations using HDBSCAN, this study developed a better reward function that can gear the reinforcement learning process towards finding more realistic dynamic pricing policies.

• Journal of Korean Society of Transportation
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• v.19 no.5
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• pp.119-134
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• 2001

This paper proposed a dynamic transit vehicle simulation model and a dynamic transit passengers simulation model, which can simultaneously simulate the transit vehicles and passengers traveling on a transit network, and also developed an algorithm of dynamic departure time choice model based on individual passenger. The proposed model assumes that each passenger's behavior is heterogeneous based on stochastic process by relaxing the assumption of homogeneity among passengers and travelers have imperfect information and bounded rationality to more actually represent and to simulate each passenger's behavior. The proposed model integrated a inference and preference reforming procedure into the learning and decision making process in order to describe and to analyze the departure time choices of transit passengers. To analyze and evaluate the model an example transit line heading for work place was used. Numerical results indicated that in the model based on heterogeneous passengers the travelers' preference influenced more seriously on the departure time choice behavior, while in the model based on homogeneous passengers it does not. The results based on homogeneous passengers seemed to be unrealistic in the view of rational behavior. These results imply that the aggregated travel demand models such as the traditional network assignment models based on user equilibrium, assuming perfect information on the network, homogeneity and rationality, might be different from the real dynamic travel demand patterns occurred on actual network.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.446-456
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• 2010

Environmental sculptures not only play a part as various cultural facilities but also symbolize local unique culture beyond the limit of functional role. Therefore subway environmental sculptures not only should be approached in terms of public installations and beauty but also should be designed to meet the needs of subway users appropriately. In order to find out what subway users think about environment sculptures installed in subway stations, the factors that can evaluate awareness and preference for environment sculptures and visual image of environment sculptures were examined and analyzed. Positive elements have been shown with regard to environment sculptures but it was judged that visual quality of subway environment can be improved more if environment sculptures keep in harmony with the characteristics of stations.

• Journal of the Korean Society for Railway
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• v.18 no.2
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• pp.149-156
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• 2015

It is necessary to determine real path for urban railway users in order to allocate revenues between urban railway organizations. Out of several algorithms used to determine optimal routes, the k-path algorithm based on link-label has been utilized. However, this k-path algorithm has certain flaws. For example, optimal route can change depending on the travel and walking time, transfer penalty, and so on. Also, this algorithm cannot take into account the characteristics of users, who prefer express train to normal trains. In this paper, an algorithm is proposed to determine one single optimal route based on the traffic card data. This method also can search for an optimal path in conjunction with the railway timetable.

• Journal of Korean Society of Transportation
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• v.22 no.2 s.73
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• pp.27-39
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• 2004

The purpose of this paper presents realistic policy alternative about recent tendency to decrease of subway-users and diminution of use efficiency which are serious problems of Busan Subway. Several policy alternatives have been studied until now, such as subway transfer impedance solution plan, introduction of subway to transfer fare discounting policy, and etc.. But, those policy alternatives are difficult to carried out, because they are less effective and overburden to financial aspect. Therefore, I made use of research on subway utilization to presuppose service improvement, as an alternative, in the transfer fare discounting system between bus and subway which might be powerful influence over subway-users. To verify this proposed study, I took advantage of Stated Preference(SP) where I estimated fare revenue and effects on fluctuation of subway-users with nested logit model based on research results. Suitable alternatives are as follows: First, If municipal government carries out transfer fare discounting policy without shortening in-vehicle time and out-of-vehicle time transfer fare, it is reasonable to discount transfer fare 50% off on the assumption of financial support as much as \6.700 million annually. Secondly, in case of application of multi-factors at a time, transfer fare discounting and in & out vehicle time, it is preferred to have no charge for transfer option with financial support as much as expected income-loss \5,600 million.

• Proceedings of the ESK Conference
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• 1993.04a
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• pp.134-144
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• 1993

The psychophysical magnitude estimation thechnique can provide a useful tool for determining the best design features of a product in terms of user preference, especially when it is difficult or almost impossible to obtain objective and quantitative data on the user performance. In this research, several interior design features of a high speed train such as arrangement of passenger seats, and availability of interior facilities were examined quantitatively to provide interior design recommendations for the high speed train. A train simulator was built to provide a realistic interior enviror enviroment of the high speed train, and individual design features were manipulated by using a three-factor within-subject experimental design. At the same time, a psychophysical scale of verbal descriptors ranging from "extremly like" to "extremly dislike" was developed to explain the magnitude estimates of the design features in ordinary language.n ordinary language.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.289-295
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• 2016

Subway is a future-oriented means of transportation that can be safely and quickly mass transport many passengers than buses and taxis. Congestion growth due to the increase of the metro users is one of the factors that hinder citizens' rights to comfortably use the subway. Accordingly, congestion prediction in the subway is one of the ways to maximize the use of passenger convenience and comfort. In this paper, we monitor the level of congestion in real time via the existing congestion on the metro using multiple regression analysis and big data processing, as well as their departure station and arrival station information More information about the transfer stations offer a personalized congestion prediction system. The accuracy of the predicted congestion shows about 81% accuracy, which is compared to the real congestion. In this paper, the proposed prediction and recommendation application will be a help to prediction of subway congestion and user convenience.

• Journal of Korean Society of Transportation
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• v.18 no.4
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• pp.19-30
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• 2000

The purpose of the Paper is to estimate values of transfer related variables on route choices of subway users in Seoul. Four attributes were estimated affecting route choices, i.e. in-vehicle time, transfer time, number of transfers and existence of escalators. Stated preference and revealed preference techniques were used to estimate these values. The values of transfer related variables can be shown by in-vehicle time equivalents. One minute of transfer is 1.5∼2 times one minute of in vehicle times one time of transfer is 10∼15 times, and the existence of escalator is 2∼8 times. Women generally show stronger impedance than men and the elder does than the younger. Working, commuting and educational trips show stronger impedance than others too.

• Journal of Advanced Navigation Technology
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• v.16 no.2
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• pp.340-350
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• 2012

The purpose this study is to find out how cabin service quality influences customer value and relationship retention intention focus on upper-class seats customer in airline. In the result of the hypothesis verification, this study hypotheses concerning the effect relations between cabin service quality, customer value and relationship retention intention. Therefore this study needs to be studied the quality of cabin service of upper-class and service value. Based on the research findings airline cabin service department have to examine various customer needs with the development of items and services.