• Journal of the Korean Society for Railway
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• v.16 no.1
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• pp.59-64
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• 2013

This study analyzed passenger access and egress travel patterns related to a Korean regional railway station (Seoul station), then developed a binomial logit model. This model referred to bus and metro mode of access and egress during a national holiday (Chuseok 2009); obtained from transit smart card data. The results showed that 99% of passengers getting access to, or egress from, the regional railway station did so using less than two transfers, and that most passengers were more likely to choose a metro. However, the passengers that made access or egress trips near Seoul Station were more likely to take a bus. From the results of the mode choice model, it was found that the impact of travel time was greater than that of travel cost, in the choices made for both access and egress. Interestingly, the impact of travel time is much greater in choosing the mode of egress.

• Journal of the Speleological Society of Korea
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• no.75
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• pp.73-77
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• 2006

운영중인 철도패키지 관광상품중 관광동굴이 포함된 철도관광상품의 특성을 살펴보았다. 모든 상품이 당일 또는 1박정도의 철도노선 주변에 위치한 자연관광자원과 주로 연계된 상품 특성을 보였다. 철도관광상품의 이용활성화를 위한 방안으로 보다 다양한 시장세분화가 요구되며 적극적인 홍보전략이 필요한 것으로 나타났으며 패키지 상품의 차별화도 고려해야 할 것이다. 또한 철도관광상품에 포함된 지자체의 경우 수요관광객에 대한 질적인 서비스 향상과 지역간 관광협력 네트워크구축이 이루어져야 할 것이다. 철도관광상품을 이용한 경험이 있는 관광객에 대한 만족도와 경험하고자 하는 예비관광객에 대한 수요조사도 아울러 필요하다.

• Journal of Korean Society of Transportation
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• v.24 no.1 s.87
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• pp.29-38
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• 2006

After the first opening of the KTX in April 2004, travel time between major cities has been dramatically reduced. The reduction rates range from 32% to 47%. Considering travel time reduction between major cities, this study concerned about the intercity travel impact of the KTX operation. This study aimed to analyze intercity mode choice behavior of Daegu Citizens according to the first opening of the KTX. This study takes place in two sections. These are (i) the section of KTX between Daegu and Seoul, and (ii) the section of KTX between Daegu and Daejeon. This study estimated empirical models for analyzing intercity mode choice behavior according to the first opening of the KTX. This study makes use of the data from travel survey from Daegu metropolitan area. The main part of the survey was carried out in the KTX Dong-Daegu station. The survey data includes the information on travel from Daegu to Daejeon and from Daegu to Seoul. In order to analyze intercity choice behavior according to the frist opening of the KTX, multinomial model structure is used. For the model specification, a variety of behavioral assumptions about the factors which affect the mode choice, were considered. From the empirical model estimation, it is found that OVTT(Out-of-Vehicle Travel Time), OVTC(Out-of-Vehicle Travel Cost), IVTT(In-Vehicle Travel Time), IVTC(In-Vehicle Travel Cost), travel frequency, travel purpose, sex, age, occupation. household income, individual income are significant in choosing intercity travel mode. However, it is found that the intercity nde choice behavior is different between (i) the section of KTX between Daegu and Seoul, and (ii) the section of KTX between Daegu and Daejeon. Furthermore, some policy implications are discussed in conclusion.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.2166-2178
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• 2010

The Korea Transportation Database (KTDB) is used to obtain data on the origin and destination (OD) of inter-city travel, which are currently used in railroad planning when estimating traffic demand. The KTDB employs the trip assignment method, whereby the total traffic volume researched for inter-city travel in Korea is divided into road, rail and air traffic, etc. However, as regards rail travel, the railroad stations are not identical to the existing zones or the connector has not been established because there are several stations in one zone as such, certain problems with the applicable methods have been identified. Therefore, estimates of the volume of railroad traffic using the KTDB display low reliability compared to other modes of transportation. In this study, these problems are reviewed and analyzed, and use of the aggregate model method to estimate the direct demand for rail travel is proposed in order to improve the reliability of estimation. In addition, a method of minimizing error in traffic demand estimation for the railroad field is proposed via an analysis of the relationship between the aggregate model and various social-economic indicators including population, distances, numbers of industrial employees, numbers of automobiles, and the extension of roads between cities.

• Journal of the Korean Society for Railway
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• v.19 no.2
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• pp.243-250
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• 2016

As sustainable growth has been emphasized in the field of transportation, the railway system has been promoted as an environmentally-friendly transport mode. However, mode shifts from other transport modes to railway have been sluggish. In this context, to enhance the understanding of railway's competitive advantages and disadvantages, this research evaluates travelers'preferences for public transport modes for inter-regional trips: such understanding should make it possible to formulate effective policy for promoting railways. To this end, passenger recognition of competitive transport modes has been measured by applying multidimensional scaling analysis for six major inter-regional public transport services - KTX, ITX-Samaeul, Mugunghwa-ho, premium express bus, general express bus, and airline. As a result, we can conceptualize the recognition similarity in two-dimensional space, and understand how travelers perceive the six major transport modes.

• Journal of Korean Society of Transportation
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• v.29 no.5
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• pp.139-155
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• 2011

This study is to estimate the dynamic change of the regional railway passenger traffic and, based on the estimated, to forecast the future regional railway passenger traffic by using the Seasonal ARIMA model. The existing studies using ARIMA failed to consider seasonality nor the monthly or the quarterly data. It was attempted in this study to use the monthly regional railway passenger traffic data to propose a model that estimates dynamic change of demand. The authors employed the Seasonal ARIMA model previously developed and used (1) the numbers of monthly passenger data and (2) the monthly passenger-km data. The test results showed that the numbers of passengers in 2015 and 2020 would increase by 36% and 71%, respectively, compared to those in 2008. The numbers of passenger-kms in 2015 and 2020 would increase by 25% and 78%, respectively, compared to those in 2008.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.437-444
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• 2012

This study features an analysis of the socio-economic factors of ten cities on the Honam-line that affect the number of train passengers. The 3 main factors based on the principal component analysis were the population, the distance between two regions, and the area size of each region while the number of automobiles has been conventionally used instead of the area size of each region. A formula to predict the train passengers by the regression analysis was developed and showed a good agreement to the number of real passengers. When Honam highspeed railway is opened, the traveling time between two regions as well as the area size of each regions should be more precisely considered.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.503-509
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• 2008

현재 동경측지계로부터 세계측지계로의 좌표변환을 하기 위하여 고시된 국가좌표변환계수는 우리나라 전 지역에 대하여 산출된 값으로서 지역마다 정확도에서 어느 정도의 오차를 포함하고 있다. 이에 따라 호남고속철도와 같이 대형국책 사업 수행시 좌표변환 오차로 인하여 문제가 발생하는 경우 경제적이나 사회적으로 많은 영향을 미치게 된다. 본 연구 에서는 호남고속철도 사업구간 오송$\sim$광주 180km구간(철도기준점 231점)을 사용하여 전 구간180km을 3구역으로 나누어 각 구역별(60km)의 지역좌표변환계수와 전구간180km 전체에 대한 지역좌표변환계수 산정하여 지역에 따른 좌표변환 시 적용 가능성에 대하여 살펴보았다.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1046-1047
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• 2008

실시간 대중교통 종합 환승정보(TAGO)시스템은 대중교통 이용자 중심의 서비스제공을 목적으로 교통 수단간 환승 정보를 제공하고 있다. TAGO는 항공, 철도, 버스(시외/시내/고속), 지하철 등 대중교통 뿐 아니라 자가용, 자전거 이용자의 환승을 고려한 정적/동적 운행정보, 소통 정보를 연계하여 통합하고, 네비게이션 서비스, 지역정보 서비스, 돌발 상황, 날씨 정보, 통계 정보를 인터넷 TAGO 홈페이지(www.tago.go,kr)와 환승 지점에서의 현장안내장비(Kiosk, PDP)를 통해 제공하고 있다. 현재 TAGO는 3차 사업이 진행 중이며 전국 단위 장거리 교통수단과 지역내 단거리 교통수단의 교통정보를 연계하여 효율적인 환승정보를 제공하여 대중교통 이용 활성화에 기여하고 있다. 미래의 TAGO 시스템은 유비쿼터스 시대의 신개념 교통정보 제공을 위한 확장성을 고려하여 서비스 범위를 확대하며, 다양한 매체를 통해 전국 어느곳에서든 출발지부터 목적지까지 교통수단의 선택, 경로안내, 환승정보, 지역정보 등을 제공할 계획이다.

• Journal of KSNVE
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• v.14 no.2
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• pp.35-45
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• 2004

한국에서의 철도는 1890년대 말 서울-노량진간(33 km)을 시속 20km/h로 1시간 30분에 주파한 이래 100여년이 지난 2004년 4월 1일 시속 300 km/h 의 고속철도시대를 개막하였다. 고속철도의 개통은 전국을 한나절 생활권으로 묶으면서 국민 생활 전반에 큰 변화를 가져올 것으로 기대된다. 지역균형 발전과 지역경제 활성화에 기여할 뿐만 아니라 사람과 물류의 이동시간을 단축시켜 운송 및 물류비용을 절감시키는 등 고속철도는 국토의 대동맥 역할을 담당할 신교통수단으로서 그 자리를 굳건히 할 것이다.(중략)