• Journal of Climate Change Research
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• v.3 no.4
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• pp.235-243
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• 2012

Mobile sources are one of the most significant contributors to the inventory of greenhouse gas (GHG). The administration in Korea has set a goal of cutting GHG emissions of vehicles by 34.3% compared to Business As Usual (BAU) by 2020. To achieve this goal, GHG emission standards for vehicles have been applied since 2012, and now light-duty trucks are under consideration to be included to the vehicle types that will be regulated in the new version of GHG emission standards. Therefore, this study focuses on analyzing characteristics of exhaust GHGs (CO2, CH4, and N2O) emissions of diesel light-duty trucks according to their various driving modes. GHGs emissions of diesel light-duty trucks reduced in inverse proportion to the speed of the vehicles. GHGs emissions from the combined mode were 8% and 14% lower than those from the CVS- 75 and NEDC modes, respectively.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.20-25
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• 2021

This paper is the result of a research on hybrid tuning technology developed to improve the actual fuel efficiency and reduce emissions of in-use light-duty diesel trucks. In this study, a hybrid powertrain was constructed by inserting an electric motor between the diesel engine and manual transmission of an internal combustion engine vehicle and installing a battery. To verify the safety, a test was conducted based on the Korean tuning regulations. In particular, since there has been no case of tuning an internal combustion engine vehicle into a hybrid vehicle in Korea, it was necessary to carry out all procedures to receive tuning approval. The approval process consists of a technical review, safety verification test, and application for tuning approval. As a result, the test vehicle was approved for tuning because both the technical review and vehicle test results were suitable. Therefore, this study confirmed the safety of diesel hybrid tuning technology, and laid the foundation for the research and development of technologies to tune into an eco-friendly vehicle as well as the activation of related industries.

• Journal of Korean Society of Transportation
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• v.28 no.6
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• pp.133-146
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• 2010

The objective of this study is to develop a supply chain-based freight distribution channel choice model considering shippers' logistics behaviors which will be used for freight demand estimation. For this purpose, this study utilized the distribution channel data of the petrochemical and automobile industries collected by KTDB center. The distribution channel choice models for these industries were developed by including transport mode, time, cost, and shipment size. It was found that the multinomial logit model with transport cost, time and shipment size is the best, and as shipment increases, bigger transport mode is preferred. Generally direct distribution channel with small truck was preferred over the one using distribution center and/or big truck.