• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5964-5970
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• 2013

The recent budget planning for highway infrastructure implied that the investments for Operation & Maintenance(O&M) became greater than that for new construction. This circumstance made many stakeholders pay attention to the O&M of road infrastructure and adopt other countries' policies and system for effective management. In other countries, most O&M for road infrastructure have been done by private entities using long-term contract and Korea is about to shift from one year contract to long-term contract. The most important parts for the expansion of the long-term O&M contract for road infrastructure are valuation of the O&M contract based on accurate prediction of O&M costs and instrument for proper risk sharing between contracting parties. Thus, this study provides a methodology to estimate a reasonable O&M contract price and a framework to share contract risk between contracting parties using real option. The analysis results showed that the contract price and ceiling and floor conditions for the 20 year-contract of 20 km-highway project were 45.7, 60 and 42.3 billion won, respectively.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.510-519
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• 1998

사회전반에 걸친 물류단지의 필요성에 대한 인식은 날로 높아지고 있으나, 물류단지의 입지를 정작 어느 곳으로 할 것인가에 대한 연구는 거의 없는 실정이다. 본 논문에서는 물류단지의 입지를 결정하는 여러 요인들 중 일반적으로 계량화 작업이 많이 이루어진 수송비와 ,대규모 개발 사업시 가장 먼저 고려해야 하는 토지보상비를 결정하는 지가를 물류단지의 입지를 결정하는 입지비용이라 가정하고, 현재 화물수송이 가장 많이 이루어지고 있는 경부고속도로축을 중심으로 입지비용을 결정하는 지가와 소송비의 산출을 위한 근거를 제시하며, 이를 설명할 수 있는 지가와 수송비의 모형을 지가와 수송비의 산출을 위한 근거를 제시하며, 이를 설명할 수 있는 지가와 수송비의 모형을 개발하여, 이 모형을 토대로 물류단지의 규모와 서울도심에서의 거리의 변화에 따라 물류단지의 입지가 어떻게 변화하는 가를 밝혀, 물류단지의 최적입지를 제시하는데 그 목적이 있다. 본 논문의 결론을 요약하면 다음과 같다. 1) 물동량의 증가에 따라 수송비가 증가하고, 물동량을 처리하기 위한 소요부지면적이 증가하면, 지가와 수송비의 교차구간은 도심에서약 15~20km 떨어진 구간에서 형성되고, 이 때의 최적입지는 물동량과 소요부지면적에 상관없이, 도심에서 약 60km 떨어진 안성군 및 평택시지역(경부고속도로 주변지역에 한함)이 최적입지로 분석되었다. 2) 수송비와 지가, 건설비와의 장래 20년을 기준으로 한 누적비용분석결과 0~40km 구간의 경우 수송비의 누적비용이 지가와 건설비의 누적비용을 초과하지 않으며, 수송비의 누적비용이 지가와 건설비의 누적비용을 초과하는 기간이 가장 빠른 것은 물류단지가 50~55km 구간과 60~65km 구간에 입지 하였을 경우로, 이 구간에서의 수송비 누적비용이 지가와 건설비의 누적비용을 초과하는 기간은 9년 후인 2004년으로 분석되었다. 이는 도심과 인접한 지역의 경우 물류단지가 입지하지 못하는 것은 물류단지의 건설에 따른 수송비의 절감이 물류단지 건설에 따른 지가 및 건설비에 대한 비용부담에 못 미치기 때문인 것으로 분석되었으며, 화물의 특성상 불가피하게 도심지역과 가까운 곳에 물류단지의 입지를 고려해야 할 경우, 물류단지 조성시 정부에서의 세금완화, 물류단지 조성가능지역 설정, 지가에 대한 보조 등 정책적인 지원대책이 필요할 것으로 판단된다. 3) 입지 비용중 수송비를 누적시킨 수송누적비용과 지가와의 비교분석결과 수송비를 5년, 10년 누적시켰을 때 이 물류단지의 최적입지는 도심에서 약 60km떨어진 곳으로 분석되었으며, 수송비를 20년 누적시켰을 경우 물류단지의 최적입지는 도심에서 약 50km떨어진 지점의 물류단지의 최적입지로 분석되었다.

• Journal of Korean Society of Transportation
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• v.35 no.3
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• pp.220-233
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• 2017

Traffic volumes are fundamental data widely used in various traffic analysis, such as origin-and-destination establishment, total traveled kilometer distance calculation, congestion evaluation, and so on. The low number of links collecting the traffic-volume data in a large urban highway network has weakened the quality of the analyses in practice. This study proposes a method to estimate the traffic volume data on a highway link where no collection device is available by introducing a spatial statistic technique with (1) the traffic-volume data from TOPIS, and National Transport Information Center in the Ministry of Land, Infrastructure, and (2) the navigation data from private navigation. Two different component models were prepared for the interrupted and the uninterrupted flows respectively, due to their different traffic-flow characteristics: the piecewise constant function and the regression kriging. The comparison of the traffic volumes estimated by the proposed method against the ones counted in the field showed that the level of error includes 6.26% in MAPE and 5,410 in RMSE, and thus the prediction error is 20.3% in MAPE.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.4
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• pp.31-43
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• 2019

Take-overs occur in autonomous vehicles at levels 3 and 4 based on SAE. For safe take-over, it is necessary to set the time required for diverse drivers to complete take-over in various road conditions. In this study, take-over time and stabilization characteristics were measured to secure safety of take-over in autonomous vehicle. To this end, a virtual driving simulator was used to set up situations similar to those on real expressways. Fifty drivers with various sexes and ages participated in the experiment where changes in traffic volume and geometry were applied to measure change in takeover time and stabilization characteristics according to various road conditions. Experimental results show that the average take-over time was 2.3 seconds and the standard deviation was 0.1 second. As a result of analysis of stabilization characteristics, there was no difference in take-over stabilization time due to the difference of traffic volume, and there was a significant difference by curvature changes.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.2
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• pp.92-104
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• 2017

Previous management for speed in road traffic system was aimed only to the improvement of mobility and safety. However, consideration for the aspect of environment and energy consumption efficiency was valued less than the former ones. Nevertheless, economical damage scope caused by climate change has been increasing and it is estimated that environmental value will be increased because of the change of external circumstances. In addition, policy for reducing carbon emission in transportation system was assessed as insufficient in improving the condition of traffic road since it only focused on the transition of private vehicle into public transportation and development of eco-friendly car. Now it is the time to prepare for the adaptation strategy and precaution for the increased number of private vehicle in Korea. For this, paradigm shift in traffic operation which includes the policy not only about the mobility but also about caring environment would be needed. It is needed to be able to monitor the actual amount of greenhouse gas in real time to reduce the amount of emitted greenhouse gas in the aspect of traffic management. In this research, a methodology which can build on-line greenhouse gas emission monitoring system by using real time traffic data and predicting the circumstance in next 5 minutes was suggested.

• Journal of the Korean association of regional geographers
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• v.15 no.1
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• pp.115-137
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• 2009

Recently, industrial locations have faced changing trends under the influence of emerging industries as well as advanced new technologies. So the purpose of this study is to analyze the spatial distribution and locational factors of biotechnology industry formed around the Seoul Metropolitan area and Daejeon city, both of which are centers of Korean biotechnology industry, and is also to identifytheir locational characteristics. Major results of this study can be outlined as follows: First, from the mid 1990' s to 2000, Korean biotechnology industry has rapidly developed owing to central and local governmental support policies and systems as well as changes in domestic economic environment due to Korean financial crisis. Secondly, it was found that spatial distribution of Korean biotechnology industry converged on the Seoul Metropolitan area till 1990, but shifted from there to Daejeon and Chungcheong area from 1990 to 2000. Particularly after 2000, positive local governmental efforts to attract biotechnology players have driven the spatial distribution of biotechnology industry to shift from Seoul Metropolitan area and Daejeon or adjacent area gradually to other profitable locations. In terms of locational factors, it was found that the locations of Korean biotechnology industry converged primarily on university or college campus and biotechnology venture center, particularly on locations adjacent to superhighway or expressway. Locational factors varied depending on region, industrial type and business growth phase. Therefore, it is advisable that our central and local government should make and implement practical and useful policies in favor of biotechnology business depending on region, industrial type, business growth phase, rather than depending on uniform locational policies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.5
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• pp.62-69
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• 2012

Traffic simulation models have been used for assessing various transportation strategies. Through comparing results from a simulation model and real field data, researchers try to show how close the model can reproduce the real world traffic. This model verification step is one of the most essential tasks in modeling procedure. Traffic counts and speeds have been frequently used for the verification or validation. Authors modeled severe PM peak bottleneck situation on the I-40 corridor in Raleigh, North Carolina using DYNASMART-P, a mesoscopic traffic simulation tool and verified the model. NCDOT has Traffic Information Management System which has archive capability for the traffic speeds on the I-40 corridor. However, the authors selected travel time as the field measure for model verification and collected the data using a GPS equipment because the speed data from NCDOT speed detectors are spot speeds which are not appropriate for comparison with link average speed from the simulation model. This paper describes the GPS field data collection procedure, the model verification method, and the results.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.79-97
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• 2003

This study aims to investigate the changing trend of the industrial complexes in the region of Liege, Belgium. The accessibility to the expressway and to the central city, the favorable atmosphere of the community, and the pleasant natural environment are the important factors in locating the industrial complexes in suburban areas. Since the 1970s the industrial complexes are developed generally on a medium or small scale coexisting with manufacturing firms and service business, but the business parks, the service parks and the science parks are developed in some strategic places. The industrial complexes are filled up with relocated firms rather than new established firms, and the industrial structure is diversified with the increase of service business. As manufacturing firms emigrated from the central city to suburban areas, the central city suffers from some serious problems such as the increased unemployment, the decreased population, the appearance of industrial ruined spaces and the worse of finance by the decreased tax sources. The local government tries to solve these problems by enacting some policies in order to revive the manufacturing firms in the central city, but with little avail.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.4 s.34
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• pp.19-25
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• 2005

This study suggests a method for securing road safety by extracting the expected surface freezing section in planning a route using GIS. When planning a road construction in a mountainous area it is possible to confront surface freezing especially in the wintertime. In addition, it is required assessment data of surface freezing rates in the case of turnkey inspections of newly constructed or expanded roads. Consequently, an analysis method that can quantitatively estimate the surface freezing section and sunshine influence on each section of a road is needed. We can extract the expected surface freezing section which amounted to around 29km of the Donghae highway, with such techniques as three-dimensional modeling, sunshine simulation geographical database construction and spatial analysis using the overlay function of the GIS spatial analysis. This study can be used as a method to assess advance safety which has a direct influence on planning the blueprint that should be approved by a policy maker after efficiently understanding the expected surface freezing section in accordance with hill shade.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.3
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• pp.92-101
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• 2012

Trip demands and patterns on weekends have been changed significantly over the past decade due to the income growth and the spread of the 5-day workweek in Korea. The increased weekend trips for shopping, leisure activities, entertainment and friendship have exacerbated traffic congestion in major highways or principal arterial roads from Friday afternoon through Sunday. Therefore, it is necessary to focus on travel demand forecasts and transport policies for weekend trips by investigating specific characteristics of the trips. Previous research efforts focus on simple analysis of characteristics of weekend trips and comparison of travel characteristics between weekdays and weekends. The paper analyzes the differences between weekday and weekend trips via statistical analyses to derive multiple types of characteristics of weekend trips, and develops Tobit models to identify key factors that may affect the number of trips, using Seoul city's weekend trip survey data in 2006. The model results show that weekend trips appear differently from weekdays by household or individual characteristics. Age, residence area and type of residence affected the number of trips, regardless of the type of the day, whereas gender, occupation, income, presence of household vehicle showed different impacts on trips between weekdays and weekends.