• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.287-295
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• 2007

화물자동차 중에서 화물대형차는 한번의 운반으로도 많은 화물을 운송하며 이에 따른 여러 가지 운행상 조건에 따라 어려움이 발생하고 있다. 또한 화물대형차의 교통사고는 차가 크고 많은 화물을 싣고 다니기 때문에 대형사고로 이어지기 쉽다. 그리고 차체 구조상 인명피해뿐만 아니라 재산상의 피해를 미치게 하는 운송수단으로서 교통사고를 미연에 예방하자는 것이 이 연구의 목적으로 화물대형차 및 특수대형 차의 교통사고 원인을 파악하고 운행실태 및 직접운전자의 인터뷰와 설문을 통하여 화물대형차 교통사고의 원인규명과 문제점을 도출하고 제도 개선안을 만들어 결론으로는 우리나라의 화물대형 차의 교통사고 예방을 위한 대책이 될 수 있도록 하는 연구이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.4
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• pp.1-14
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• 2019

In order to minimize problems related to the performance and safety of automobiles, the "Age Limit for Vehicles System" which restricts the age of buses, taxis, and trucks, was implemented in 1973. This contributed to the reduction of accidents and increase of user's service satisfaction. However, the restriction system for trucks was abolished in August 1997 as it was deemed restrictive to economic growth. It is found that one of main causes of traffic accidents such as Changwon Tunnel accident occurred in recent years, is the aging of trucks. Thus, There is a growing need for the management of the age of trucks. In this study, the time when cargo vehicles need to be managed is suggested, by analyzing the safety of cargo vehicles using vehicles inspection data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.136-146
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• 2013

Truck demand analysis based on TCS data has limitation in that TCS data can not provide truck O/D data for each type of truck vehicle. This study conducted video survey for classifying truck vehicle types. By using TCS data and vehicle ratio by region/cities type, truck O/D data on expressway were estimated. It was found that average travel distances of small truck, medium truck and large truck were 52km/veh, 56km/veh and 97km/veh, respectively by analysing truck O/D data estimated in this study. The reliability analysis showed that check points where error rate is lower than 30% comprise of 87.3%. It is considered that estimated O/D data by truck vehicle types would be useful for the analysis of truck demand of expressway.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.73-81
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• 2009

While various factors in passenger and freight demand analysis affect on destination choice, a key factor, in general. is an attractiveness measure by size variable (e.g., population. employment etc) in destination zone. In order to measure the attractiveness, some empirical studies suggested that disaggregate gravity model are more suitable than aggregate gravity model. This study proposes that truck travelers trip diary data among Korean commodity flow data could be used to estimate the behaviors of incorporating trip departure time, activity duration and attractiveness in destination. As a result, the main findings of size and distance variables coincide with the conventional gravity model having a positive effect of population variable and a negative effect of distance variable. Due to disaggregate gravity modeling, the unique findings of this study reports that small trucks are more likely to choose short distance and early morning, morning peak and afternoon peak departure time choice. On the other hand, large trucks are more likely to choose long distance and night time departure time choice.

• 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.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.234-236
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• 2018

현대 사회에서 항만이 전반 공급체인에서 차지하는 역할이 날로 중요해지고 있다. 항만의 역할은 이미 단순한 하역작업이 아닌 화물에 부가가치를 부여하는 중요한 경제활동중심으로 진화하였다. 이러한 항만의 중요성으로 인해 각국은 모두 허브항 육성을 주요 성장전략으로 삼고 있다. 특히 동북아시아는 대형 항만이 가장 밀집된 지역으로 되어 항만 간 경쟁이 매우 치열하다. 부산항은 배후단지 활성화를 통한 안정적인 물동량 유치를 통해 역내에서 경쟁력을 확보하고 있다. 본 연구는 부산항 신항 배후단지에서 처리하는 주요 화물들의 원단위를 산정하여 실제 부산항 신항 배후단지에서 창조하는 부가가치에 대해 정량적으로 분석하였다. 분석결과, 케미칼 제품, LME 벌크, 자동차 부품, LME 컨테이너, 일반화물, LME 내륙운송의 순으로 원단위 비용이 점차 감소하였다. 향후 연구에는 부산항 신항 배후단지에서 취급되는 전체 화물에 대한 세부적인 연구가 이루어질 필요가 있다. 이를 통해 항만이 창출하는 가치를 보다 정밀하게 파악하고 효과적인 물동량 유치 전략을 실행할 수 있다.

• International Journal of Highway Engineering
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• v.12 no.1
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• pp.21-27
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• 2010

Management of driver hours of service (HOS) for commercial vehicle operators has been a continual safety challenge. One of the more critical issues to government and motor carriers is fatigue and fatigue-related accidents. To reduce truck drivers’fatigue-related accident risk in other countries, the government issued the HOS regulations. However, korea government does not have any HOS regulations. The objective of this research gives the clues that korea should have the HOS regulation to reduce truck drivers’fatigue-related accident risk. This study examines the HOS regulation over other countries and conducts relative accident risk analysis using the real data from 3 freight companies. The data set includes 231 accident involved drivers and 462 non-accident drivers. Therefore, the size of the total data set is 693 drivers. One of the most important aspects of early studies of safety and HOS was the need to characterize continuous driving by using the notion of "survival". Subsequent research used a data replication scheme and logistic regression to capture the survival effect. This study uses time-dependent logistic regression. The test of significance between parameters indicates that the first three hours are almost the same risk. In the 10th hour of driving, the risk was more than 2.2times that in the baseline first hour. In conclusion, as driving time goes on, the crash risk increases.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.185-193
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• 2011

As a Lift axle is an additional axle installed mostly in heavy freight truck, It"s introduced for the purpose of cost saving, such as logistics, fuel, tire wear and prevention of the pavement damage. However, the Effects of a lift axle are anecdotal and they have occurred often that a lift axle is used improperly by expectations of some drivers. For these reasons, this study conducts a field experiment in order to identifying the change rate of fuel consumption due to an a Lift axle using, develops the fuel consumption model of field data, and then compares the effects of a Lift axle using through application of the model. As a result, fuel consumption decreased in loading conditions that are both empty and full when not using a lift axle.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.2
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• pp.192-202
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• 2008

Typical activity-based travel analysis has been focused on passenger travel using household survey data. The current research focuses on freight transport using one-day travel survey data. Passenger travel can be seen as the outcome of traveller's subjective decision-making, whereas freight transport is the outcome of shipper or transport company's optimized scheduling. The research conducts an activity-based analysis of freight-vehicle trip chains. In particular, the research focuses on the difference in travel pattern between shipper-oriented private vehicle and transport company-oriented business vehicle. The research analyzed the travel diary of freight vehicles collected as part of the third national logistic survey in 2005. The diary is freight driver's one-day travel record including the information of loading capacity, item transported, destination, arrival time, etc. The analysis results show the difference between private and business vehicles in the travel pattern regarding the sequences of destination, destination type and item transported and the multi-dimensional information of the three sequences.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6D
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• pp.749-754
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• 2011

It is common that basic unit and model of fuel consumption have been used to evaluate effectiveness analysis of transportation infrastructure investment programs. However they could not reflect vehicle characteristics such as loading capacity and types of heavy vehicles. For these reasons, this study reviews convention fuel consumption model which is widely used and conducts a field experiment for 5 classes of heavy vehicles. To develop the fuel consumption quadratic model the field data are used and we develop each model by classes, and then compare with convention fuel consumption model. As a result, between convention and suggested model, there are considerable differences, which have a similar pattern between an 11-ton cargo of convention model and a 25-ton cargo type dump truck of the suggested model. Likewise we identify that there is an approximately 26% gap between convention model result and the result which is calculated a weighted average by registered number of heavy vehicles based on 5 types of fuel consumption model suggested in this study. This result implies that convention fuel assumption model has a realistic limitation.