• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.645-654
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• 2021

This research aims to examine the influence of road transportation infrastructure on the mobility of goods transport and the regional economy in Langkat Regency in Indonesia. This type of research is an associative and explanatory research whose data is obtained through a questionnaire survey. This study took a sample of 305 respondents using probability sampling in Langkat Regency, North Sumatera, Indonesia. Data analysis techniques use path analysis. The research results showed that the road transportation infrastructure variables had a significant and positive effect on the mobility of goods transport. Road transportation infrastructure and freight mobility simultaneously have a significant and positive effect on the economy of Langkat Regency. Road transportation infrastructure with the dimensions of road accessibility and maintenance partially directly has a significant and positive effect on the economy of the Langkat Regency. Road transportation infrastructure with the dimensions of road design and road construction quality partially does not have a direct effect on the regional economy, but has a positive and significant effect through the mobility of freight transport. The mobility of goods transport becomes an intervening variable that acts to mediate or determine the relationship between road transportation infrastructure variables to the regional economy.

• 한국도로학회논문집
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• 제19권3호
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• pp.83-90
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• 2017

PURPOSES : In this study, systematic road snow-removal capabilities were estimated based on previous historical data for road-snowremoval works. The final results can be used to aid decision-making strategies for cost-effective snow-removal works by regional offices. METHODS : First, road snow-removal historical data from the road snow-removal management system (RSMS), operated by the Ministry of Land, Infrastructure and Transport, were employed to determine specific characteristics of the snow-removal capabilities by region. The actual owned amount and actual used amount of infrastructure were analyzed for the past three years. Second, the regional offices were classified using K-means clustering into groups "close" to one another. Actual used snow-removal infrastructure was determined from the number of snow-removal working days. Finally, the correlation between the de-icing materials used and infrastructure was analyzed. Significant differences were found among the amounts of used infrastructure depending on snowfall intensity for each regional office during the past three years. RESULTS:The results showed that the amount of snow-removal infrastructure used for low heavy-snowfall intensity did not appear to depend on the amount of heavy snowfall, and therefore, high variation is observed in each area. CONCLUSIONS:This implies that the final analysis results will be useful when making decisions on snow-removal works.

• Journal of Construction Engineering and Project Management
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• 제7권4호
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• pp.1-12
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• 2017

India has accorded a high priority to road infrastructure development through Public-Private Partnership (PPP) and it has set a high target for investment inflows. Yet, it is widely held that road/highway infrastructure has not been developing at required pace and that the road infrastructure projects under PPP have been suffering from several hurdles and delays, thereby affecting project success/failure. This paper is an attempt to analyze the critical success/failure factors of road infrastructure projects under PPP in India. A questionnaire survey was conducted among a sample of the stakeholders of road infrastructure projects to identify the critical success/failure factors during all four major project stages using different approaches. Initially, the critical factors were identified through ranking based on the average/mean score. Later, the conventional RII score was used to identify the critical success/failure factors. Finally, the critical success/failure factors were also identified based on the stakeholder-wise ranking of the factors and their convergence. The assessment revealed that there was a greater convergence across the different methods and also that there was greater consensus among project stakeholder on the critical success/failure factors of road PPP projects.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.1205-1214
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• 2020

The poverty level in Buru Regency is still high, despite the relatively stable economic growth. For this reason, the purpose of this study was to (1) Identify the leading commodity in each district in Buru Regency; (2) Analyze the effect of road infrastructure and leading commodities on poverty. The findings show that the most sparsely populated district is Fena Leisela, with mangoes as the leading commodity. Pineapple, langsat, apple rose, cabbages, cashews, coffee, cashew, melon, and watermelon are the leading products in Air Buaya, Batabual, Waplau, Lolong Guba, Lilialy, Waelata, Namlea, Kaiely Bay, and Waeapo, respectively. Additionally, the results also indicate that road infrastructure and leading commodities have a significant effect on poverty alleviation in Buru Regency. It means that improving infrastructure and increasing leading commodities production reduce poverty in the region. Good road infrastructure can promote connectivity between regions so that it can accelerate and expand economic development. The provision of infrastructure that encourages connectivity will reduce transportation costs and logistics costs to increase product competitiveness and accelerate the economic movement. When the road infrastructure in Buru Regency improves and new roads are built, it can improve transportation access, it will reduce the living cost for the poor and increase income, and open up opportunities for the poor to benefit from economic growth.

• 한국산학기술학회논문지
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• 제19권2호
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• pp.595-601
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• 2018

운전자가 차량 조작에 개입하지 않고, 차량 스스로 주행하는 자율주행차량의 시대가 도래하였다. 자율주행차량 시대에서는 자율주행차량이 도로환경을 정확히 인식함으로써, 자율주행 차량의 안전성을 확보 할 수 있다. 그러나, 도로환경을 구성하고 있는 요소는 도로안전시설, 교통관리시설, 횡단구성으로 구분 할 수 있으며, 각각을 구성하고 있는 종류, 형태 및 규격은 다양하다. 따라서, 도로환경을 구성하고 있는 시설물 중에서 우선적으로 취득해야 하는 도로시설물에 대한 우선순위 결정이 필요하다. 본 연구에서는 전문가 설문 및 AHP(Analytical Hierarchy Process)기법을 이용하여 도로시설물 인식에 대한 우선선위를 결정하였다. AHP 분석을 위해 항목을 2계층으로 구분했으며, 1계층은 도로안전시설, 교통관리시설, 횡단구성, 2계층은 시선유도시설을 포함한 26개의 항목을 구분하였다. 분석 결과, 1계층에서는 도로안전시설, 교통관리시설, 횡단구성 중 교통관리시설이 가장 우선순위가 높은 것으로 나타났으며, 2계층에서는 방호울타리(도로안전시설), 교통신호기(교통관리시설), 중앙분리대(횡단구성)의 우선순위가 높게 나타났다. 또한, AHP 분석 기법을 이용하여 도출된 고정환경을 추출하는 사례를 제시하였다. 본 연구에서 제시한 도로시설물에 대한 우선순위 선정 결과는 자율주행차량을 위한 인식기술 지원 연구에 도움이 될 것으로 기대된다.

• 한국ITS학회 논문지
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• 제18권6호
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• pp.222-232
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• 2019

최근 몇 년 사이에 도로건설이 활발히 이루어지고 있는 개도국 중에 몽골이 있으며, 광활한 영토에서 적은 인구가 산다는 것과 저개발된 인프라를 보유하고 있다는 특성이 있다. 몽골정부에서 신설 도로공사에 대한 투자는 증가하였으나, 2012~2016년도 사이의 주요 유지보수 또는 복구공사에 대한 재정 지원이 줄어들었다. 이러한 불충분한 도로 유지보수의 결과로 몽골은 원활한 도로관리가 되지 않고 있으며, 도로망이 추후 확대되면 전체 유지보수의 비용이 크게 증가할 위험이 있다. 따라서 본 연구에서는 이러한 문제점에 대응하기 위해 아시아의 개도국 중 몽골을 대상으로 도로 인프라의 체계적인 유지관리를 위한 한국의 도로관리 모델의 적용을 모색하였다.

• 한국군사과학기술학회지
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• 제17권6호
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• pp.836-843
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• 2014

The infrastructure of North Korea has serious problems such as stability, usability, and durability because the facilities were built a long time ago. In recent years, the infrastructure improvement of North Korea has emerged as the important issue to preparing for reunification. However, there are no research institutions about the infrastructure in South Korea as well as the experts for operating or constructing the infrastructure. Therefore, the objective of this study is to propose the military use of infrastructure in North Korea by analyzing various data. The facilities such as road, railroad and electricity has been focused in this study. In the future, if the more specific data regarding condition and problems in each facility are collected, the more detailed military use of the infrastructure of North Korea can be suggested.

• 한국안전학회지
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• 제31권6호
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• pp.99-104
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• 2016

Road Sink Phenomenon (RSP) is one of the major issues in South Korea. National and local governments are trying to develop effective preventive measures against the RSP. Developing the policy-oriented RSP management is most important to minimize possible losses induced by RSP. In this study, we employed the Futures Wheel (FW) method to derive influence factors for RSP management. FW method is widely used for predicting future social-environmental condition. In addition, RAND Corporation's method is used to derive potential strategic agenda based on derived influence factors by FW method. These derived strategic agenda can contribute to develop the policies related with RSP management.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.493-502
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• 2020

Traditionally, road projects are initiated based on an assessment of their economic benefit, after which the environmental, social and governance effects are addressed discretely for the project according to a set of predetermined alternatives. Sustainable road infrastructure planning is vital as issues like diminishing access to road construction supplies, water scarcity, Greenhouse Gas emissions, road-related fatalities and congestion pricing etc., have imposed severe economic, social, and environmental damages to the society. In the process of addressing these sustainability factors in the operational phase of the project, the dynamics of these factors are generally ignored. This paper argues that effective delivery of sustainable roads should consider such dynamics and highlights how different aspects of sustainability have the potential to affect project sustainability. The paper initially presents the different sustainability-assessment tools that have been developed to determine the sustainability performance of road projects and discuss the inability of these tools to model the interrelationships among sustainability-related factors. The paper then argues the need for a new assessment framework that facilitates modelling these dynamics at the macro-level (system level) and helping policymakers for sustainable infrastructure planning through evaluating regulatory policies.

• 제어로봇시스템학회논문지
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• 제18권5호
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• pp.453-464
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• 2012

This is a research of an adaptive longitudinal control system for situated cognition in wide range, traffic accidents reduction and safety driving environment by integrated system which graft a road infrastructure's information based on IT onto the intelligent vehicle combined automobile and IT technology. The road infrastructure installed by laser scanner in intersection, speed limited area and sharp curve area where is many risk of traffic accident. The road infra conducts objects recognition, segmentation, and tracking for determining dangerous situation and communicates real-time information by Ethernet with vehicle. Also, the data which transmitted from infrastructure supports safety driving by integrated with laser scanner's data on vehicle bumper.