• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.352-360
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• 1998

교통소통과 안전을 위해서는 체계적이고도 획일적인 교통안전시설물의 설치 및 관리가 요구된다. 앞으로 교통안전시설물에 많은 투자가 절실히 요구되며, 계속 늘어나고 있는 자동차등 여러 가지 교통여건을 감안하면, 교통안전시설물에 대한 수요는 더욱 증갛살 것으로 예상된다. 지리정보시스템 (GIS)을 활용하게되면 급증하는 교통안전시설물의 조사 및 유지·관리업무를 제한된 인력과 예산으로 수행할 수 있게된다. 그러므로 교통안전시설물의 체계적인 유지·관리를 위해선 GIS의 활용은 필수적이라 하겠다. 또한 신설 및 교체수량의 정확한 예측 등과 같은 효과를 거둘 수 있어 효율적인 예산을 집행할 수 있게된다. 본 연구는 지리정보시스템 (GIS)을 이용하여 교통안전시설물 유지·관리 시스템 개발에 목적이 있으며, 특히 개발된 시스템은 실무담당자 활용에 편의를 도모하는데 주안점을 두었다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.228-235
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• 2008

새정부 들어 주택의 안정적 공급을 위한 대책을 내놓고 있으나, 주택 수요 공급과 관련된 통계 및 정보의 종합적 관리 체계 미흡으로 주택수급상황을 파악하여 주택수급에 대처하는 주택하위 시장별 대응정보가 미비한 실정이다. 이에 따라 수급상황을 분석 및 제공하기 위한 정보시스템을 구축 "주택 수요"가 있는 곳에 "주택을 공급"하는 정책지원체계가 요구되고 있다. 이를 위해 본 연구는 행정생활권, 광역교통망, 주택사업위치, 공공 민간 사업지구 등의 GIS정보 기반에 주택 수요 공급 통계 및 정보를 분석하여 정책지원 및 대국민 서비스를 하는 정보체계인 주택수급지도(Housing Demand and Supply Mapping Model)의 구축방안을 제시하였다. 연구에서는 주택수급에 필요한 수요현황 및 예측 등 "주택수요정보"에 기초하여 주택건설, 공급, 재고 등의 "주택공급정보"를 분석하여 주택수급지도에 대한 기본설계 방안을 도출하였다. 향후 주택수급지도를 활용하여 주택수급상황을 한눈에 파악하고, 주택수요를 고려한 수요자별 맞춤형 주택공급정책을 수립할 수 있도록 지원함으로써, 지역별, 주택 규모별, 주택유형별, 인구계층별 주택수급 예측에 활용될 수 있을 것으로 기대된다.

• 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.

• Journal of Korean Society of Transportation
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• v.32 no.6
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• pp.600-614
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• 2014

This paper develops a model to forecast container volumes of all Korean seaports using a Seasonal ARIMA (Autoregressive Integrated Moving Average) technique with the quarterly data from the year of 1994 to 2010. In order to verify forecasting accuracy of the SARIMA model, this paper compares the predicted volumes resulted from the SARIMA model with the actual volumes. Also, the forecasted volumes of the SARIMA model is compared to those of an ARIMA model to demonstrate the superiority as a forecasting model. The results showed the SARIMA Model has a high level of forecasting accuracy and is superior to the ARIMA model in terms of estimation accuracy. Most of the previous research regarding the container-volume forecasting of seaports have been focussed on long-term forecasting with mainly monthly and yearly volume data. Therefore, this paper suggests a new methodology that forecasts shot-term demand with quarterly container volumes and demonstrates the superiority of the SARIMA model as a forecasting methodology.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.81-90
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• 2008

Bus passengers need some time to adapt to the changed bus route or free bus transfer system which is part of the public transportation system restructuring plan. This research is focused on the characteristics of monthly patterns of bus passengers. The period of stabilization of bus passenger demand after the rearrangement of bus route system by a time series were analysed. In order to look into the characteristics of bus passenger demand by month, data on the number of monthly bus passengers of recent five years in metropolitan cities across the nation was collected. Kendall's coefficient of concordance is used to test whether the cities showed concordance with respect to the number of monthly bus passengers during a period of five years. The study collected and performed a time series analysis of data on the number of monthly bus passengers during the past ten years in Daegu metropolitan area which carried out a new bus route plan in February 2006. The number of monthly bus passengers in 2006 was estimated using the time series analysis. The city of Daegu found that after six months the estimated and actual values displayed a similar pattern. This result can be applied to other cities in estimating the passenger demands in the future.

• 전기의세계
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• v.39 no.1
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• pp.24-29
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• 1990

19세기초 영국에서 개발된 증기 기관차로 인하여 육상교통이 큰 변혁을 맞은 이래 열차의 속도, 승차감, 신뢰도 및 안전도, 경제성의 제고 등에 대한 계속적인 기술발전과 개량으로 철도 교통은 대량수송 수단의 주역으로 경제발전과 인류역사에 크게 공헌하여 왔다. 산업발전에 따른 고속화와 전철화로 철도차량의 최고속도는 프랑스의 고속전철(TGV)이 300km/h까지 도달했으나 고속주행시의 소음, 공해등으로 인하여 21세기 인류에게 제공될 지상의 대중교통수단으로서는 여러가지의 제한점을 보이고 있다. 최근 우리나라에서도 지속적이고 급속한 대중 교통수단으로서는 여러가지의 제한점을 보이고 있다. 최근 우리나라에서도 지속적이고 급속한 산업발전과 사회복지의 향상으로 국내의 산업물동량과 산업인구의 이동이 급격하게 증가하여 우리나라 산업동맥의 중추인 경부선의 경우 일일 수송능력은 120회/일 이르렀고 철도교통수요의 증가율('84년 예측치 5.9%년)과 특급이상의 승객증가율('84년 예측 12.5%)에 비추어 볼때, 1995년경에는 완전포화 상태에 도달할 것으로 예상되고 있다. 본 소고에서는 21세기 고도사회 진입에 대비하고 국민의 생활수준향상에 부응하는 빠르며, 쾌적하고, 안전한 고속 대중 교통수단으로써 관심을 불러 일으키고 있는 고속전철을 소개하고, 현재 운행하거나 개발중인 외국의 기술현황을 기술적인 면과 운용면에서의 고찰을 통하여 한국의 교통체제, 지형, 미래의 교통구조 등을 고려한 한국형 고속전철의 개발방향을 제시하고저 한다.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.734-743
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• 2007

The KTX station is one of special generators that produce a lot of trips caused by special land use such as university, airport, and super shopping mall. Special generators need special attention in developing travel demand models since the standard trip generation and distribution model in the conventional four-step approach do not provide reliable estimates of their travel patterns. New modeling approach, activity-based model, considering travel behavior of person, seem to be more appropriate for those special generators. Thus, this study introduces a spatial-temporal activity-based approach and how activity-based approach can be applied to estimation of travel demand at KTX stations.

• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.111-122
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• 2007

This paper investigates the rail service patterns by train class. The emphasis in intercity rail planning is to more efficiently use of existing station facilities. Rail transit operations are affected by the system layout and ridership patterns and by work rules. Operations are also influenced by past practices and the institutional setting. Main factors to decide train service patterns are the location, socioeconomic characteristics, land use and travel demand of the station. In this context, the travel demand of intercity rail station is of crucial significance. Tests on a KTX case shows that train service frequency can be efficiently decreased in weekday to transport the same passenger demand. The work has shown many subjects that need further research including various factors influencing on train frequency. This study serves the railroad authorities in planning and determining business strategy in the increasingly competitive environment of regional rail transport.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.195-208
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• 2009

A network design problem (NDP) formulated as a mathematical program is generally used to find an optimum value to minimize or to maximize some objectives such as total travel time, social benefit, or others. NDP has, however, some limits of describing components of travel patterns like activities and trip generation due to its modeling simplicity, and also it has difficulty in including attributes of regional planning. In order to cope with such limits, this paper extends NDP to the urban planning field and proposes a mathematical program which can describe the interactions between urban social activities and transportation planning. Based on this model the authors try to optimize both urban activities and the transportation system. The model developed in this paper is tested to assess its application with a real-size regional transportation network.

• Journal of Korean Society of Transportation
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• v.23 no.2
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• pp.25-36
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• 2005

In this study, we suggested a new approach method forecasting distribution demand of urban rail transit usign fuzzy control, with intend to reflect irregularity and various functional relationship between trip length and distribution demand. To establish fuzzy control model and test this model, the actual trip volume(production, attraction and distribution volume) and trip length (space distance between a departure and arrival station) of Daegu subway line 1 were used. Firstly, usign these data we established a fuzzy control model, nd the estimation accuracy of the model was examined and compared with that of generalized gravity model. The results showed that the fuzzy control model was superior to gravity model in accuracy of estimation. Therefore, wwe found that fuzzy control was able to be applied as a effective method to predict the distribution demand of urban rail transit. Finally, to increase the estimation precision of the model, we expect studies that define membership functions and set up fuzzy rules organized with neural networks.