PURPOSES : The aim of this study was to compare the performance of the QUEENSOD method and the gravity model in estimating Origin-Destination (O/D) tables for a large-sized microscopic traffic simulation network. METHODS : In this study, an expressway network was simulated using the microscopic traffic simulation model, VISSIM. The gravity model and QUEENSOD method were used to estimate the O/D pairs between internal and between external zones. RESULTS: After obtaining estimations of the O/D table by using both the gravity model and the QUEENSOD method, the value of the root mean square error (RMSE) for O/D pairs between internal zones were compared. For the gravity model and the QUEENSOD method, the RMSE obtained were 386.0 and 241.2, respectively. The O/D tables estimated using both methods were then entered into the VISSIM networks and calibrated with measured travel time. The resulting estimated travel times were then compared. For the gravity model and the QUEENSOD method, the estimated travel times showed 1.16% and 0.45% deviation from the surveyed travel time, respectively. CONCLUSIONS : In building a large-sized microscopic traffic simulation network, an O/D matrix is essential in order to produce reliable analysis results. When link counts from diverse ITS facilities are available, the QUEENSOD method outperforms the gravity model.

Interest about Modal Shift is not being decreased, and it is drawing limelight as green logistics which meets low carbon green growth of National development vision. As an effect of Modal Shift, not only reduction in CO2 emission but also reduction in social cost, logistics cost etc. are being discussed. However, until now research about its practical transformation effect has been scanty. In this study, the actual expenses via CO2 emission, social cost, and logistics cost etc. by road transportation and rail transportation of container cargo with Origin/Destination between Busan-Kyeonggi Area were calculated and we propose beneficial effects when transportation mode is transformed from road to rail with Scenario Planning.

본 연구는 2004년 관세청의 수출입 데이터를 활용하여 컨테이너 물동량의 기종점 분석을 통해 향후 인천항이 유치할 수 있는 컨테이너 물동량의 정도와 특성을 파악하고 이를 유치하기 위한 전략을 제시하는 것을 목적으로 하였다. 기종점 분석은 최적권역의 설정을 통해 수행되어졌다. 최적권역이란 특정 항만이 가장 저렴한 운송비와 항만하역비로 수출입 서비스를 제공할 수 있는 시군구로 정의하였는데 인천항은 서울, 인천을 포함하여 경기도와 강원도의 35개 시군구가 최적권역이었으며, 발생하는 수출입 물동량 약 202만TEU/년 중 약 25.25%가 인천항을 통해 수출입 되고 있는 것으로 나타났다. 인천항 최적권역 물동량의 처리비율은 인천항 최적권역 물동량의 처리비중이 높은 항만인 부산항(64.89%), 광양항(4.46%), 평택항(3.35%)으로 나타났다. 이들 항만들과 인천항을 비교할 때 인천항은 선사 및 화물 유치를 위한 차별화된 비용전략과 인센티브 제도의 도입, 항만하역 관련 생산성의 향상, 피더네트워크의 강화, 수도권 화주에 대한 인천항 이용시 물류비 절감 효과의 홍보 등의 노력이 필요한 것으로 나타났으며 이를 화물유치를 위한 전략으로 제시하였다.