• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.2
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• pp.57-69
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• 2007

The most important problem in logistic activities may be to decrease the transportation efficiency due to the traffic congestion in urban areas. The traffic congestion reduces the average travel speed of freight vehicles, and then increases the travel time. These problems can lead the logistic system to be inefficient. As a result, it causes an increase of transportation costs. In addition, the increased cost is a main barrier for the transition to an advanced logistic system. This study focuses on the analysis of key factors choosing commercial freight vehicles using Logistic regression-analysis with RP (Revealed Preference) data to solve the increase of private freight cars and transportation costs. Additionally, this paper presents policies to promote good use of commercial freight vehicles based on the results of this study.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.152-166
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• 2022

This study analyzed the causal relationship among operating characteristics of commercial freight vehicles, dangerous driving behaviors, and traffic accident risk. The study applied the existing accident cause and prevention theory to arrive at this relationship. Data related to working characteristics of driver, driving experience, driving ability, driving psychology, vehicle characteristics (size), dangerous driving behavior, and traffic accidents were collected from 303 commercial freight vehicle drivers. Working characteristics and dangerous driving behavior data are based on the driver's digital driving record. The traffic accident data is based on the insurance accident data reflecting actual traffic accidents. First, a structural equation model was built and verified using the model fitness index. Then, the developed model was used to analyze the causal relationship between multiple independent and dependent variables simultaneously. Four dangerous driving behaviors (sudden deceleration, sudden acceleration, sudden passing, and sudden stop) were found to be highly related to traffic accidents. The results further indicate that it is necessary to establish a safety management policy and intensive management for small-sized freight vehicles, drivers with insufficient driving ability, and drivers with dangerous driving behaviors. Such policy and management are expected to reduce traffic accidents effectively.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.12
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• pp.349-376
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• 1999

The objective of this paper is to identify the problems of Korean inland transportation system and suggest the improvement plan for reducing the export logistics cost. The results are as follows: (1) Expansion of logistics hub facilities : Logistics hub facilities- integrated freight terminal and ICD, etc. can shorten the empty leg and reduce the logistics cost. (2) Design for CVO(Commercial Vehicle Operations) : CVO has various functions that improve the efficiency and effectiveness of freight transportation. (3) Rationalization of freight transportation industry : In particular, the deregulation of the motor freight industry and the privatization of the railway industry induce the competition among their firms and undercut the transportation rates in the long run. (4) Use of third-party logistics : The benefits of TPL are system reliability, improved customer service, and more efficient cost performance.

• Journal of Korean Society of Transportation
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• v.28 no.6
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• pp.43-54
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• 2010

In recent years there have been studies on tour based approaches for freight travel demand modelling. The purpose of this paper is to analyze tour type choice behavior of commercial vehicles which are divided into round trips and chained tours. The methods of the study are based on the decision tree and the logit model. The results indicates that the explanation variables for classifying tour types of commercial vehicles are loading factor, average goods quantity, and total goods quantity. The results of the decision tree method are similar to those of logit model. In addition, the explanation variables for tour type classification of small trucks are not different from those for medium trucks', implying that the most important factor on the vehicle tour planning is how to load goods such as shipment size and total quantity.

• Proceedings of the KAIS Fall Conference
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• 2000.10a
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• pp.128-133
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• 2000

본 논문은 현재 발전하고 있는 전자상거래의 겉모습만을 보고 있는 사람들에게 그 내부의 모습을 보여주는 한편, 물류수송의 문제점을 파악하여 그에 따른 물류비용의 증가를 막아보자는데 있다. 전자상거래의 힘은 신속정확한 배달과 품질보증이다. 이에 따라 시간이 걸리는 배달일 경우에는 소비자의 기다림을 달래주는 위치 추적 정보 서비스가 필요하다 종합물류 관리시스템의 하나인 CVO의 기술을 분석하고 화물위치 추적 시스템에 대하여 연구하였다. 특히 현재 우리나라의 쇼핑몰이나 기업의 상황을 분석하고, 전자 상거래의 배달, 운송에 관한 연구와 고찰로써 전자강거래 시대에 있어서 모든 기업들의 발전방안을 연구하였다.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.843-850
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• 2020

The purpose of this study is to evaluate the structural risk and weakness of a railway tank car through nonlinear collision analysis according to overseas collision safety standards. The goal is to propose a crash safety design guideline for railway tank cars for transporting dangerous goods in Korea. We analyzed the buffer impact test procedure of railway freight cars prescribed in EN 12663-2 and the tank puncture test criteria prescribed in 49CFR179. A nonlinear finite element model according to each standard was modeled using LS-DYNA, a commercial finite element analysis solver. As a result of the buffing impact test simulation, it was predicted that plastic deformation would not occur at a collision speed of 6 km/h or less. However, plastic deformation was detected at the rear of the center sill and at the tank center supporting the structure at a collision speed of 8 km/h or more. As a result of a head-on test simulation of tank puncture, the outer tank shell was destroyed at the corner of the tank head when 4% of the kinetic energy of the impacter was absorbed. The tank shell was destroyed in the area of contact with the impacter in the test mode analysis of tank shell puncture when the kinetic energy of the moving vehicle was reduced by 30%. Therefore, the simulation results of the puncture test show that fracture at the tank shell and leakage of the internal material is expected. Consequently, protection and structural design reinforcement are required on railway tank cars in Korea.