| Project/Area Number |
17560470
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
交通工学・国土計画
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| Research Institution | Nagaoka University of Technology |
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Principal Investigator |
SANO Kazushi Nagaoka University of Technology, Civil Engineering, Associate Professor, 工学部, 助教授 (00215881)
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| Co-Investigator(Kenkyū-buntansha) |
MATSUMOTO Shoji Nagaoka University of Technology, Civil Engineering, Professor, 工学部, 教授 (80115120)
YOSHII Toshio Kyoto University, Civil Engineering, Associate Professor, 大学院工学系研究科, 助教授 (90262120)
KATO Hironori University of Tokyo, Civil Engineering, Associate Professor, 大学院工学系研究科, 助教授 (70272359)
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| Project Period (FY) |
2005 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2006: ¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2005: ¥2,000,000 (Direct Cost: ¥2,000,000)
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| Keywords | Transportation Planning / Travel Demand Management / Simulation Enginnering / Environmental Policy / Logistics |
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| Research Abstract |
The objective of this study is therefore to develop a model that focuses on the behavioral level of freight transportation. The proposed model considers the individual behavior of freight agents and their interactions in supply chain resulting in the model's capability to reflect the real mechanism of freight movement. The proposed model is a modification of the traditional four-step approach in that it considers the behavior of each freight agent individually. The study utilizes micro-simulation as an approach to the modeling, considering the behavior of each firm individually. The model structure consists of four stages : commodity production and consumption, commodity distribution, conversion of commodity flows to truck flows, and traffic assignment.
Since the model considers the individual behavior of freight agent, the model can be applied to both static and dynamic of freight transportation system. Static model results the average number of truck trips of each origin and destination; on the other hand, dynamic model concerned the dynamic process of freight movement that varies according to trend in consumption. In addition, several phenomena in economic (such as bull-whip effect) and seasonal variation in freight traffic demand can be captured by the dynamic multi-agent freight model. The proposed model has been applied to analyze the urban freight transportation in the Tokyo Metropolitan Area. This study discusses the issues involved in model development and validation including conceptual framework, mathematical formulations, estimated results, and validation results. In addition, the model was also tested for its capability by applying to evaluate two proposed scenarios. The results show that the model is applicable to capture the responsive behaviors of freight agents that accompany the travel pattern changes.
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