• Journal of Korean Society of Transportation
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• v.30 no.1
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• pp.45-58
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• 2012

The traditional four-step demand model has limits in that it cannot reasonably reflect the logistic characteristics of freight transportation system. This is likely to cause problems when estimating the effects of logistics facilities. In order to enhance the reliability and availability of the freight demand estimation procedure it is needed to develop freight demand model which takes into account the logistic characteristics of firms. In the late 1990s, a number of researches on freight demand model considering logistics behaviors began in Europe while a few studies in the area have been conducted recently in Korea. This paper reviews recent advances of the freight model developments in the context of logistic behavior consideration. The main topics include 1) commodity classification, 2) P/C(Production- Consumption) estimation, 3) logistics network representation, 4) logistics chain model, and 5) commodity flow survey. In addition, this paper proposes future direction of the freight demand models with respect to the consideration of logistics characteristics.

• Journal of Korea Port Economic Association
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• v.26 no.3
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• pp.130-142
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• 2010

The purpose of this paper is to propose applying agent-based model(ABM) for analyzing logistics system. Logistics problems become more complex and multi-faceted. As a result, the behavior of the system becomes more and more difficult to predict, we see the limitations of the traditional top-down approach in handling complexity. The ABM, that is the bottom-up approach, provides new modeling framework in system modeling. The ABM focuses on the interactions of subsystem or agents in whole system. Then the macroscopic picture of the whole system behavior is emerged as the microscopic interactions of agents are aggregated. The ABM assumes that each agent acts based on simple rules learned from dynamic interactions among other agents or its surrounding environment. The ABM has a great advantage in understanding emergent phenomenon that cannot be explained only through considering individual attributes. The ABM is an extremely useful method to analyze complex system such as logistics system. Therefore, the great research efforts and applications on the ABM to logistics system are encouraged in future.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.496-505
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• 1998

물류활동에서 운송부분이 차지하는 중요성은 기업의 경영자층에게 더욱 중요하게 인식되고 있는데, 이는 경쟁 환경 때문이다. 경쟁환경에서는 'Output Logistic' 즉, 운송활동의 수행정도에 따라 물류활동의 성패가 결정된다. 따라서 기업물류활동의 근간인 운송활동의 주요 결정요인과 선택형태를 알아보고, 이들이 실제로 기업의 물류활동에 어느 정도 영향을 미치는지를 심층적으로 분석해보는 것도 매우 의미 있는 일이라 하겠다. 더구나 우리 나라의 현재의 경제여건에서는 물류비에 대한 효율화 작업이 필요한데 반해 그 동안의 연구들을 살펴보면 SP 자료를 이용한 가상적 상황하에서의 화주의 선택행태를 분석하였으므로 실제 선택한 수단간의 gap을 극복할 수 없었다. 기업은 운송수단의 선택시 복잡한 결정과정을 갖는다. 이는 운송부문이 총물류비용에서 차지하는 중요도 때문이다. 기업의 운송관리자는 화물을 출하할 때마다 선택의 기로에 서게 된다. 즉, 일부는 조직 체계나 다른 계약 여건에 따라 이전과 동일한 수단을 선택하는 경우도 있지만, 많은 경우에는 매번 출하시 마다 최적의 운송수단을 선택하기 위한 새로운 결정을 하게 된다. 본 연구는 이러한 화주의 수단선택행태를 실제 RP 자료를 이용하여 분석하였다. 수단선택모형의 적용 및 분서결과를 살펴보면 상당히 attractive한 결과를 발견할 수 있는데 각 품목별 추정 값이 운송거리에 대해서는 음으로 운송비용에 대해서는 양으로 나타나고 있다. 다시 말하면 운송거리가 길수록 효용은 감소하고 운송비용이 커질수록 효용은 증가한다는 것을 의미하므로 그 분석결과가 올바른 결과를 도출하고 있지는 않다. 그러나 여기서 알수 있는 것은 운송거리와 운송비용이 각각 주요한 변수라는 것이다. 모형의 타당성을 검증하기 위해서는 logilikelihood 값을 구하여 $\rho$^2분석을 시행하였다. 여기서는 각 품목별로 $\rho$^2값이 약 0.15~0.3의 비교적 높은 수치를 보여주고 있으므로 모형의 설명력이 어느 정도 있다는 것이 아울러 증명이 되었다. 상관관계에 대한 분석에서는 영업용 차량간의 상관관계가 높게 나타났으며, 이는 곧 영업용 화물차량을 적재중량별로 구분하는 것이 별 의미가 없음을 의미한다. 다시 말하면 자가용 차량을 보유하고 있지 않은 회사는 다른 운송전문업체에 화물운송을 의뢰하게 되므로 출하중량에 따라 화물차량을 구분하는 것에 대해서 그다지 큰 고려를 하지 않는 것으로 해석할 수가 있다.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.7-15
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• 2011

Emerged in early 1990s, so called 'Quick service' industry that provides faster delivery of small parcels than regular mail service accelerated use of motorcycles. As the economic grows, use of large bicycles (more than 250CC displacement) for leisure purpose has also rapidly increased. Traffic crash data clearly shows the increasing trend in motorcycle crashes. The ratio of motorcycle involved crashes out of total has increased from 5.7% in 2005 to 8.3% in 2008, and similar trend can be found in fatalities ratio as well. In this study, we assess the level of risk when motorcycles operate on motorways by analyzing traffic rule violation ratio, lane change behaviour, driving speed behaviors of motorcycles in Uninterrupted Traffic Flow Facilities and using PC-CRASH simulation we also calculate car shock impulses occurred when an accident happens. Analysis result shows that the motorcycle is different from the car in terms of lane change timing and average speed, and also shows motorcycle drivers tends to conduct more improper driving behavior particularly when traffic is congested. The results from this study could be usefully applied when the law enforcement agent decides whether bicycles shall be allowed to use motorways. The result could be also utilized as fundamental information for further study of bicycles' driving behavior.

• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.13-35
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• 2011

The advancement of the information technology provides a wide range of corporate to cope with new business environments that are different in size, life and operation conditions. The Research methodology used in this study is Technology Acceptance Model. The Study Method are mainly survey and questionnaire. The major result of article can be summarized. Its are as the follows: This paper ware investigated the determinants of 'port service quality', 'perceived usefulness', 'perceived ease of use', 'utilization intention', 'practice use'. There are 400 sended samples and 150 returns, 173 of them are analyzed on a port utilization using TAM model. 1. The Port service quality are found to have a positive effect to 'perceived usefulness', 'perceived ease of use', 'utilization intention' 2. The perceived ease of use are found to have a positive effect to 'perceived usefulness', 'utilization intention' 3. The perceived usefulness is found to be positively related to 'utilization intention' 4. The utilization intention is found to have a positive effect to ''practice use' we hove to provide useful contribution to increase the Korea ports' competitiveness in introduction of port information system. In addition, in order to port development offer some insight in further research.

• 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.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.132-145
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• 2022

This study was based on the black box images of traffic accidents on highways, cluster analysis and prediction model comparisons were carried out. As analysis data, vehicle driving behavior and road surface conditions that can grasp road and traffic conditions just before the accident were used as explanatory variables. Considering that traffic accident data is affected by many factors, cluster analysis reflecting data heterogeneity is used. Each cluster classified by cluster analysis was divided based on the ratio of the severity level of the accident, and then an accident prediction evaluation was performed. As a result of applying the Logit model, the accident prediction model showed excellent predictive ability when classifying groups by cluster analysis and predicting them rather than analyzing the entire data. It is judged that it is more effective to predict accidents by reflecting the characteristics of accidents by group and the severity of accidents. In addition, it was found that a collision accident during stopping such as a secondary accident and a side collision accident during lane change act as important driving behavior variables.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.7-16
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• 2008

There are unique aspects of truck vehicle movements compared with the personal travel in trip chaining. This paper reports an analysis on the truck vehicle trip chaining which intercity/metropolitan/intraregional trips are classified. Data collected from the travel dairy survey is used the truck trip-chaining analysis. The pattern of trip chaining classes is classified by the GIS mapping based on orgin-destination trip information. The physical index and efficiency index for each trip diary is used to the truck vehicle activity. Truck trips lengths and time differs from its truck type, service type and travel patterns. It is shown that the efficiency of the truck trip chaining depends on vehicle types and its delivery patterns. There are many other topics for research on trip chaining modeling such as the classification of trip chain, time use and mode choice by trip chaining.

• International Commerce and Information Review
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• v.16 no.1
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• pp.145-161
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• 2014

The study has try to find out the relationship between airfreight service quality and satisfaction in international forwarding practice which has focused to figure out the mediating role of performance that measured as subjective evaluation on profit. For the purpose of this paper, questionnaire survey has been performed on the relationship among the procedure of the air freight service quality was found to have not only direct influence but also indirect impact through performance on satisfaction. This research made some contribution both academicals and logistic practices. Academically, it is the first research to address the relationship between air freight service quality and profit performance in Korean academic field. Practically, this study provides justification for the investment to improve forwarding service quality. The results of this study bear some implications on international shipping and practice. The quality of the air cargo transportation management system for customer satisfaction and its impact on business performance in the process to make an empirical identifies. The role and influence of the working-level analysis to derive the performance as transportation management, as well as the effectiveness of customer satisfaction for quality and promote a point. Arrange this point take advantage of air cargo companies are composed of service quality management system for the dimension of course aims to foster a competitive advantage in terms of performance. This paper suggest that real-time movement of the consignment route provides information such as verification and business cooperation for the purpose of proper features a reflecting on the stability of cargo air freight management system, that improve the quality of services on this performance to increase the customer satisfaction strategy in connected getting and so on, is in the process of the formation of customer satisfaction.

• Journal of Korean Society of Transportation
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• v.20 no.3
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• pp.83-92
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• 2002

Freight mode choice models are essential to the analysis of many areas of transport research. However, observations of actual market choices have only been made in a limited number of situations. Therefore, stated preference(SP) techniques have emerged as an alternative source of actual market choices to be used for estimating freight mode choice models. Considerable confidence exists about SP data, but little consideration has been given to the potential for estimation bias. This paper has been motivated by the theoretical side of estimating SP discrete choice models, focusing on a case study of freight mode choice. Recently developed simulation methods are used to construct inherent random heterogeneity legit models, which consider individual heterogeneity, its inheritance to the next choices and overcome the independence from irrelevant alternatives (IIA) property. This Paper contributes to the development of models dealing with heterogeneity and its inheritance, and sheds light on the heterogeneity of freight transport.