• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.1
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• pp.105-114
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• 2016

With approximately 20 million transportation card data entries of the metropolitan districts being generated per day, application of the data to management and policy interventions is becoming an issue of interest. The research herein attempts a model of the possibility of dynamic demand change predictions and its purpose is thereby to construct a Dynamic Passengers Trip Assignment Model. The model and algorithm created are targeted at city rail lines operated by seven different transport facilities with the exclusion of travel by bus, as passenger movements by this mode can be minutely disaggregated through card tagging. The model created has been constructed in continuous time as is fitting to the big data characteristic of transport card data, while passenger path choice behavior is effectively represented using a perception parameter as a function of increasing number of transfers. Running the model on 800 pairs of metropolitan city rail data has proven its capability in determining dynamic demand at any moment in time, in line with the typical advantages expected of a continuous time-based model. Comparison against data measured by the eye of existing rail operating facilities to assess changes in congestion intensity shows that the model closely approximates the values and trends of the existing data with high levels of confidence. Future research efforts should be directed toward continued examination into construction of an integrated bus-city rail system model.

• Journal of Energy Engineering
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• v.2 no.1
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• pp.22-27
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• 1993

This paper designed to identify energy demand behavior which are employed price: expenditure, traffic activity, and fuel substitution effect in the transportation sector. According to analysis, we find that first of all in this sector, enhancement of fuel economies and improvement of public transportation system are quite significant.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1269-1278
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• 2009

The Seoul metropolitan area is generated the transportation problems of traffic congestion, delay of travel time, etc due to the increase of traffic demand at Seongnam area, Koyang/Paju area, Incheon/Bucheon area, etc, because that have not provided the urban surrounding railway network and live to be concentrated about 49% of the population of Korea. The Koyang/Paju route axis is required the urban surrounding railway network because the share percentage of public transportation is 51%, the automobiles is 48.8% and the subway is 27.3% and the housing development plan for 530,000 persons have provided. According to the result of the study for the introduction of the express railway between Kangnam to Ilsan of 37.8Km, in case of operation of 150Kmm at express railway, the scheduled speed between Kangnam to Ilsan is 103Km/h, the running time is about 23 minutes. The demand of traffic of this project was forecasted about 237,000persons by traffic analysis. This project which was analysed B/C of 1.08 by the result of the feasibility study have a economic feasibility.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4795-4802
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• 2010

In order to solve the traffic problem in jeju, we must reduce demand for car travel. In addition, demand for passenger travel by public transport policy is needed for conversion. And to improve the quality of public transport services are desperately needed. The purpose of this study, personal characteristics of the trip traveler and the relationship between transportation choice, and personal effectiveness as a factor in travel costs and travel time on the impact of transportation choices will investigate. Restructure its public transportation routes, when to switch to buses to car traffic on the data as a basis for the factors that may be. In addition to improving the quality of public transport services is expected to be able to contribute. To study the performance of the May 2010 survey was conducted. And multinominal logit model were conducted. According to the analysis, People who own homes and families with more than 5 people are likely to use cars. If a prolonged travel time is likely to use buses. However, increasing the cost of travel increases the likelihood that the car is available.

• Journal of Korean Society of Transportation
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• v.25 no.3
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• pp.137-144
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• 2007

This study involves an analytical approach to determine transit dispatching schedules (headways) Determining a time schedule is an important process in transit system planning. In general, the transit headway should be shorter during the peak hour than at non-peak hours for demand-responsive service. It allows passengers to minimize their waiting time under inelastic, fixed demand conditions. The transit headway should be longer as operating costs increase, and shorter as demand and waiting time increase. Optimal headway depends on the amount of ridership. and each individual vehicle dispatching time depends on the distribution of the ridership. This study provides a theoretical foundation for the dispatching scheme consistent with common sense. Previous research suggested a dispatching scheme with even headway. However, according to this research, that is valid for a specific case when the demand pattern is uniform. This study is a general analysis expanding that previous research. This study suggests an easy method to set a time table without a complex and difficult calculation. Further. if the time axis is changed to the space axis instead, this study could be expanded to address the spacing problems of some facilities such as roads. stations, routes and others.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.43-51
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• 2005

Thomson(1977) proposed that the equilibrium status can exist among modes when each mode's attractivenesses' are equal. His theories key point is that when the equilibrium status is achieved the additional investment for individual car user such as constructing more roads or widening the existing roads, can lead to more congestion. That's the so called 'Downs-Thomson's Paradox. This paper is intended to demonstrate that the paradox is applicable to Seoul Metropolitan area. Before doing that job, we reviewed Downs-Thomson's paradoxes related Papers such as Mogridge's (1985) research for London case. and Seung Jea-Lee's(2004) research for Seoul. In conclusion, the equilibrium status that Thomson proposed can't be applied to Seoul Metropolitan area. because the suppressed demand's behaviour is different from real situation and that of in the theory.

• Journal of the Korean Society for Railway
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• v.14 no.2
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• pp.188-193
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• 2011

In order to solve urban transportation problems, the various alternatives are presented to the public transportation system but the master plan of construction and operation is that there is no validity. PRT unlike other public transport system, is a new transport system that can respond appropriately, to solve the traffic demand, environmental and energy problems. Meanwhile, national and international PRT system was not commercially and the actual construction and operation of the PRT in case of base research is not well established. In this paper, PRT concept was established as the new transportation system, the target area(Nan-gok area) was selected to examine the feasibility of PRT systems and the corridor analysis method has been developed to predict the PRT demand as a basic material of planning process.

• Smart Media Journal
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• v.11 no.11
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• pp.49-62
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• 2022

Recently, with the development of Smart City Solutions such as Big data, AI, IoT, Autonomous driving, and Digital twins around the world, the proliferation of various smart devices and social media, and the record of the deeds that people have left everywhere, the construction of Smart Cities using the "Big Data" environment in which so much information and data is produced that it is impossible to gauge the scale is actively underway. The Purpose of this study is to construct an objective and systematic analysis Model based on Big Data to improve the transportation convenience of citizens and formulate efficient policies in Urban Information and Public Transportation accessibility in sustainable Smart Cities following the 4th Industrial Revolution. It is also to derive the methodology of developing a Big Data-Based public transport accessibility and policy management Platform using a sustainable Urban Public DB and a Private DB. To this end, Detailed Living Areas made a division and the accessibility of basic living amenities of Gwangju Metropolitan City, and the Public Transportation system based on Big Data were analyzed. As a result, it was Proposed to construct a Big Data-based Urban Information and Public Transportation accessibility Platform, such as 1) Using Big Data for public transportation network evaluation, 2) Supporting Transportation means/service decision-making based on Big Data, 3) Providing urban traffic network monitoring services, and 4) Analyzing parking demand sources and providing improvement measures.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.873-882
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• 2017

Smart cards are currently used in about 150 locales, including the metropolitan ares, and are utilized as a policy base for various public areas, including public transportation, bus fares, and public transportation requirements. However, excluding the metropolitan area and some metropolitan areas, there are many areas where the existing BIS data was unable to match station information on the data and Smart cards itself are not available on the bus stop information by the line. The purpose of this research was to produce bus stop information generated by the bus stop based on the bus route, and the actual stop information generated by the model presented in the study was derived by matching the actual station information.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.3
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• pp.147-159
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• 2014

Public transportation ridership and walkability of urban district can be enhanced through high quality of TOD(Transit Oriented Development) elements. Generally, TOD have been evaluated several physical components such as the diversity of land use pattern, accessibility of public transportation and aspects of urban design around the station area. Especially, Spatial characteristics of TOD planning elements have many potential dependent when considering the characteristics of Rail Station-Influenced Area Development which is performing around subway station. Therefore, researchers should be considering the variation of spatial properties for planning elements according the set of spatial area and their socioeconomic factors. However, existing many cases related TOD does not consider about this point. In this paper, the changes of TOD characteristics were analyzed by different spatial units surrounding subway station in Busan Metropolitan City. Multiple Regression Analysis was performed for an investigation of effective spatial unit of TOD planning elements in this area using subway ridership data. In addition, the application validity of socioeconomic variables was examined through a comparative analysis of regression results with the multiple regression that implied only physical TOD elements. As the result, the variation of spatial properties for TOD planning elements according to the set of spatial unit was found. Furthermore, the specific spatial unit to applicable TOD elements in this area was derived. And the multiple regression model which added socioeconomic variables was derived more improved estimate results than the multiple regression model that implied only physical TOD elements.