• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.167-175
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• 2002

The objective of this study is to reveal a shipper's preference for road freight transport according to commodity classification code. The shipper's preference in freight transport can be obtained by using value of travel-time savings. The characteristics of freight are so various that the shipper's preference also appear widely different. In these days, there were few attempts to estimate value of freight travel-time savings in Korea. but most of them included only rail or marine freight transport so it couldn't obtain unique travel-time savings for road freight transport. In this study the value of travel-time savings of road freight transport was estimated according to commodity classification code. Revealed preference method and associated binominal logit models were applied to estimate the value of travel-time savings in transit from a Seoul metropolitan commodity flow survey data in 1998. Data sets were segmented by commodity classification code and nineteen binominal legit models were estimated according to segmented groups. The results of this study showed that the value of freight travel-time savings varied wide ranges from 16,441 won to 66,769 won per hour a vehicle along with commodity classification code.

• Journal of the Korean Society for Railway
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• v.13 no.3
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• pp.327-332
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• 2010

In this paper we presents an approach to assessing the efficiency of freight railroad stations reflecting freight item importance weights with multiple performance indicators and multiple operational condition indicators. We evaluate 187 freight railroad stations using data envelopment analysis with assurance region. Each freight item's loading/unloading volume is used as a performance indicator. Freight labor and yard capacity are used as operational condition indicators. Freight item importance weights are reflected to the data envelopment analysis as assurance region. The evaluation results facilitates the organization's decision making by providing valuable information.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.2343-2358
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• 2008

The modal spilt for road has been increased, but, for railroad it has been decreased from 17.2%(1990) to 6.3%(2006). It is important to study on improving competition for railroad transportation so that freight transport industry for railroad which is getting to decrease in Korea will be increased. The objective of this study is to analyze the competitiveness of railroad transport compared with road by providing a high-speed railway. The indicators representing the competitiveness of railroad transport are determined. The main influenced factors for mode choice include transport cost, transport time, level of service. Precisely, three commodities type, container, cement, steel, are analyzed.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.163-168
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• 2009

Travel time reduction is a benefit in economic analysis. Freight transportation time reduction benefits influence the logistics industry. The objectives of this paper are to estimate the Value of Time (VOT) for transportation time reduction with logit methodology. The data of Gyeonggi-do's domestic road freight transport in 2007 are used. VOT was estimated for five commodities. An average VOT of 19,946 won/vehicle-hr was calculated; transport of electronic parts had the highest VOT. This study will help provide direction for improving Korea's road infrastructure for freight.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.4
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• pp.1559-1569
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• 2013

this study is to deduct the difference between regional and urban commercial trips by analyzing the characteristics of the regional and urban truck movements. To achieve this, we investigated the relation between the number of truck trips and various truck generation attributes such as truck attributes, origin and destination attributes, and commodity type using ordered logit models, which are separately estimated for regional and urban truck movements using truck diary data of Korea Transport Database (KTDB). According to the estimation results, regional and urban truck movements have different characteristics in truck attributes, origin and destination attributes and commodity type. Especially, the number of regional trucks trips increased as origin and destination are manufactural area and as the total value of products of industrial area in origin and destination increase.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.1-11
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• 2021

Port hinterland has been experiencing difficulty in generating new cargo volume and high value-added activity. It will be able to contribute to create new cargo volume and high added-value if transshipment cargo can be switched to trusted processing and then attract to port hinterland. This paper estimates items and volume size that can be the appropriate to attract in port hinterland and also be able to switch to trusted processing based on the trade data and manifest of transshipment container. The 50 items were classified from the result of trusted processing trade and the 33 items of them were suggested as the appropriate to attract in the port hinterland. The result shows that the 3.2 times transshipment cargo volume which is large than the total volume of trusted processing trade in Korea is transshipped at Busan port. This study is the first research to compare trade data and manifest of transshipment container, and thus it contributes to attracting firms in the port hinterland for the port authorities and the government.

• Journal of the Korean Geographical Society
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• v.37 no.1
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• pp.15-40
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• 2002

This study is an attempt to grasp the spatial patterns and characteristics in the freight flows based on freight quantity data in 1997. The spatial background for the study is the Capital Region, which plays an important role in regional economics and industrial development. The methodology in the research used factor analysis to produce a functional region. The study selected three categories of freight that account for more than 60 percent of freight flows, chemical industrial goods, light industrial goods, and metal machinery industrial goods. The target analysis unit is divided into 36 zones. The common characteristic of the three categories is that they are concentrated at one specific region than are dispersed regionally. And in particular, the remarkable feature is that the central region of the study is Seoul. Usually the eminent regions of nows were made where environment of distribution facilities is good but these were made in a less than good environment. I think a reason is that facilities were uneven distribution.

• Journal of the Korean Society for Railway
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• v.12 no.3
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• pp.348-356
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• 2009

The objective of this paper is to estimate the DMT utility function for the transportation mode choice using SP survey. With the freight OD data the estimated utility function can be used as a basic data for forecasting DMT market. 3 alternatives of transportation mode are considered in SP survey; railway, road and DMT. The utility functions are developed according to the freight items, which are container, steel and chemical product. In this study the attribute variable are chosen as time, cost and reliability. The number of level for attribute variables are 3. The high valve is determined as +10% above the standard and the low value -20% below the standard.

• Proceedings of the Safety Management and Science Conference
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• 2000.11a
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• pp.91-94
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• 2000

본 연구에서는 차량용량이 같지 않은 복수의 다른 종류의 차량을 고려하여, 차량이 이동하면서 배달과 수거를 동시에 수행하고 수거지점으로부터 화물을 수거하여 차고지로 운송하는 귀로 화물(Backhauls)을 갖는 PDP(Pickup and Delivery Problem)문제를 그 연구 대상으로 한다. 동시에 차량을 통해 이동되는 품목이 단일 품목이 아니고, 배달 및 수거시간제약조건을 갖는 다품목 시간제약 수송차량 배차문제를 Time-space network를 이용하여 정수선형계획문제로 정식화한다. 이를 최적화 S/W LINGO를 이용하여 위의 모든 제약조건을 만족하면서 운용되는 차량수와 차량의 이동경로를 최소화하는 해를 구하고, 분석한 내용을 보여주고자 한다. 덧붙여 위 문제의 입·출력자료를 데이터베이스화하여 지리정보시스템(Geographic Information System : GIS)과 통합한 차량운행경로결정 지원시스템을 구축하기 위한 방법을 제시하고자 한다.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.31-41
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• 2010

The objective of this paper is to evaluate production efficiency of the commercial road freight transportation industry using quarterly actual data by individual truck drivers from January 2005 to September 2009. In addition, this study analyzes various impact factors that influence production efficiency, including regulatory factors (e.g., entrust management system and multi-level transactions). For this purpose, this study uses data envelopment analysis and a truncated Tobit model. As a result, production efficiency of the general freight sector is higher than those of the other two sectors. Also, production efficiency in the steel goods sector ranks the highest; meanwhile, production efficiency in the oil goods sector ranks the lowest. In particular, production efficiency indicators of the commercial road freight transportation industry fluctuate with time by a small margin, and have an upward tendency on the whole. Finally, some policy implications are given to promote production efficiency of the commercial road freight transportation industry.