• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.4
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• pp.68-79
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• 2010

Weather like rain, strong wind or snowfall may make the road condition deteriorated and sometimes induce traffic accidents, which lead to severe traffic congestion, thereby travelers may change their destinations elsewhere. Although origin-destination trip information is required to analyze transportation planning in urban area, there are little researches on the relationship between weather condition and travel patterns. This paper investigates the characteristics of travel patterns on expressway in snowing days of 1998-2008. We compare the normal travel patterns with those of snowing days by the travel distance for each vehicle type. Results show that traffic volume and travel distance have been reduced in snowing days as we expect, and also show different travel patterns for weekday and weekend.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.243-245
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• 2015

항만간의 물동량 확보 경쟁은 국외 항만간 뿐만 아니라 국내 항만간에도 치열하게 이루어지고 있다. 이와 같은 상황에서 항만 물동량 확보를 위한 경쟁력 강화의 방안 중 하나로 O-D 분석(Origin-Destination, 기종점분석)을 통한 교역구조와 교역품목 분석을 고려 할 수 있다. 본 연구는 최근 10년간 국내 주요 4대 항만에 대한 전체 국내외 교역구조와 지역과 항만별 교역품목 분석하여 항만 경쟁력 강화를 위한 방안을 제시하고자 하였다. 연구의 결과는 국내 주요 항만은 국내 지역과 국외 지역, 항만별 특색을 가진 교역 구조를 나타냈으며, 교역품목에서도 지역별, 항만별 특색을 보이는 것으로 분석되었다. 본 연구의 결과는 항만 물동량 확보를 위한 마케팅 대상 지역과 품목에 대해 활용이 가능할 것이다.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.185-194
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• 2008

When forecasting demand for a new road, a select link analysis is usually used to understand the OD pairs that send trips along paths that use the selected link (i.e., the new road). These OD pairs and their associated volumes are listed in a select link analysis. However, there is no research about other methods to obtain these results, so experts are almost always dependent on select link analysis results to obtain these results. The purpose of this study is to propose a model with a different approach from select link analysis to obtain the previously mentioned results. Time and spatial characteristics of networks are used in this new approach. Select link analysis results are used as a comparison index for the results by the proposed model. Also, two case studies (interzonal trips and intracity trips) are performed to validate the significance of the model. Consequently, a correlation coefficient between the results by the proposed model and the comparison index shows high significance: 0.82.

• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.93-112
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• 2018

The purpose of this study is to analyze the flow of e-commerce freight transported by maritime transportation for China and to identify the characteristics of cargo by region/item for finding the ways to promote e-commerce export to China. Thus, this study analyzed the e-commerce export and import data on cargo moved via maritime transportation between Korea and China from 2015 to 1Q18, using Origin-Destination(OD) analysis and visualization techniques. The results indicated that the largest number of Chinese e-commerce cargoes were imported at Incheon Port, which has a clearance facility for e-commerce cargo. In the case of Pyeongtaek Port, e-commerce cargo imported from China has transported to Incheon Customs again, causing the inefficiency through the customs clearance process. Unlike the case of e-commerce imports where the final destination is distributed nationwide, e-commerce products exported to China through maritime transportation were found to be mainly confined to Seoul and Gyeonggi provinces, where freight forwarding companies and forwarders are concentrated. In addition, unlike e-commerce import cargoes, e-commerce items exported through maritime transportation were mainly confined to clothing and cosmetics, and export volume was also less than imports. This study provides some possible strategies to increase the volume of freight and to attract export products as follows: i) to diversify products exported to China through e-commerce transshipment, ii) to diversify export items by building the cold chain in e-commerce transport with China.

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.219-228
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• 2007

기업의 물류활동은 화물의 기종점 정보와 더불어 출발지와 도착지간 수배송특성, 업종간 거래 관계, 가격흐름, 경로 등 다양한 공급사슬관점에서 설명되어야 한다. 본 연구는 화물의 흐름을 물적인 흐름의 공급사슬망인 유통경로 관점에서 실증분석을 목적으로 한다. 그동안 공공부문의 물류관련 연구들은 물류현황조사 자료로부터 지역간 기종점 통행량에 기초하여 물류시설을 포함한 국가의 사회간접자본 투자정책에 주로 활용된 경향이 있었다. 또한, 민간부문의 유통경로 관련 연구는 주로 상적인 유통경로에 한정되어 보다 종합적인 공급사슬관리 측면에서 기업의 물적 유통경로선택에 대한 이해가 부족하였다. 본 연구에서는 2001년 전국물류현황조사중 기업의 물류실태조사에서 수행된 600개의 표본자료에 기초하여 기업들의 유통경로 선택의 특성을 분석하였다. 사용된 자료들의 설문조사방식은 다양한 유통노드들이 제시되고, 기업들이 상위 매출액이 높은 품목들이 다양한 유통경로 상에서 어떻게 노드들을 이용하는지 조사되었고, 이를 공장순회형, 물류센터 중심형, 도매자 중심형, 소비자 중심형 등 4개로 유형화하였다. 본 연구는 이들 4개의 유통경로들의 선택에 미치는 영향을 사업체 현황, 수배송현황, 물류활동평가, 물류시설관리 현황 등의 다양한 특성변수를 고려하여 선택에 미치는 영향을 분석하였다.

• Journal of the Korean Society for Railway
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• v.11 no.4
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• pp.417-423
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• 2008

Transportation planners are increasingly adopting policies aimed at changing travel choices made by general commuter. Theories on the relationship between high-speed technology and transport address changes in travel behavior of regional commuter due to alterations in the Kyung-Bu railroad transportation corridor. The purpose of this paper is to examine the relationships between travel behavior and high-speed technology. The KORAIL data allows us to explore the differences between travel characteristics that are usually hard to discern by guesswork. The effects of travel time were found to be significant in the full decisions that control for commuting KTX. Although many argue that transportation behavior cannot be changed, this paper demonstrates that about 4 years of behavioral data on KTX travel show otherwise. In this paper we explore several possibilities to fill in some of the gaps in our knowledge on the expansion of commuter belt.

• Journal of Korean Society of Transportation
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• v.17 no.5
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• pp.99-110
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• 1999

This study deals with the adaptability questions of O-D table estimation models. Its objectives are two-fold; (1) to estimate the characteristics of various O-D table estimation models(i.e. linear regression models. entropy models and statistic models) and (2) to find the model which estimates the O-D table with the best accuracy under the various data conditions. In Pursuing the above, this study gives the particular attentions to the test of the models, using the Sioux Falls network and equilibrium assignment method of MINUTP. The major findings are the followings. Firstly. it finds that the statistic models have the most goodness of fat among all models, if the required data are all Prepared. But it Presents that statistic models are the most sensitive against the underspecification and inconsistency problems of link data. Secondly, It shows that the linear regression models have the worst goodness of fat among all models. But the linear regression models are the most insensitive to the underspecification and inconsistency problems. Thirdly, THE/1 model of entropy model is sensitive against the underspecification and incon-sistency problems, but THE/2 model is insensitive. Finally, other informations like total volume, zonal Production and attraction volumes in 0-D table, help models to gain the better goodness of fit. Especially, in the statistic models. both the zonal production and attraction volume data are helpful to estimate the link volumes. It can be expected that the results dive some implications not only to the selection of optimal model under the various given data, but also to the development or modification of model.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.12-19
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• 2016

An average of 20 million individual transit unit activities per day on the Seoul-Gyeonggi-Incheon public transportation network are provided as transportation card analysis data by the metropolitan district (99.02% by 2014 standard, Humanlive, 2015.4). The metropolitan transportation card data can be employed in a comprehensive analysis of public transportation users' current transit patterns and by means of this, an effective use plan can be explored. In enhancing the existing information on the bus and rail integrated network of the metropolis with public transportation card data, the constraints in the existing methodology of metropolitan transit analysis, which functions on a zone unit origin and destination basis, can be overcome. Framework for metropolitan public transportation card data based integrated public transportation analysis, which consists of bus and rail integrated transport modes, is constructed, and through this, a single passenger's transit behavior transit volume can be approximated. This research proposes that in the use of metropolitan public transportation card data, integrated public transportation usage, as a part of individual passenger spatial movements, can be analyzed. Furthermore, metropolitan public transportation card usage data can provide insights into understanding not only movements of populations taking on transit activities, but also, characteristics of metropolitan local space.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.91-92
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• 2013

With development of port industry, inland transportation was also the developed. Connecting port with inland becomes more and more important. So studies about cargo flow from ports to regions are actively in progress. But freight statistics from regional to national has a problem that do not comprehend exactly with freight flow. Also these statistics don't reflect characteristics of multimodal transportation system. The objective of this paper is to analyze freight flow of container with the introduction of P/C and rebuilding freight statistics from regional to national scale.

• Journal of Navigation and Port Research
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• v.39 no.1
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• pp.61-67
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• 2015

Inland transport becomes more and more important in connecting ports with inland. Therefore, studying on cargo flow from ports to regions has been active in progress by many researchers. However current statistical data of freight flow from origin locations to destination locations does not reflect the exact characteristics of freight flow. Also, they also do not reflect the characteristics of multimodal transport system in which cargos go through intermediate locations such as logistics center or inland container depot. In growing up the emergent need of rebuilding statistical data for freight flow from origin locations to destination locations, this paper will propose a freight flow model with logistics center and it will be verified by genetic algorithm through the simulation scenarios.