| Project/Area Number |
13650586
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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 | Hiroshima University |
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Principal Investigator |
SUGIE Yoriyasu Hiroshima Univ., Graduate School of Engineering, Professor, 大学院・工学研究科, 教授 (70034410)
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| Co-Investigator(Kenkyū-buntansha) |
OKAMURA Toshiyuki Hiroshima Univ., Graduate Sch. for International Develop. & Coop., Research Associate, 大学院・国際協力研究科, 助手 (90314781)
ZHANG Junyi Hiroshima Univ., Graduate Sch. for International Develop. & Coop., Associate Professor, 大学院・国際協力研究科, 助教授 (20284169)
FUJIWARA Akimawa Hiroshima Univ., Graduate Sch. for International Develop. & Coop., Professor, 大学院・国際協力研究科, 教授 (50181409)
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| Project Period (FY) |
2001 – 2003
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| Project Status |
Completed (Fiscal Year 2003)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2003: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2002: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2001: ¥2,000,000 (Direct Cost: ¥2,000,000)
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| Keywords | Intelligent Transportation System / Improvement effects / Evaluation system / Travel behavior model / Simulation / Multi-modal / シュミレーション / 高度交通情報システム |
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| Research Abstract |
This research is aimed at put an evaluation system to practical use, which can measure the effect of Intelligent Transportation System (ITS) as a proper travel demand inductive policy in local towns by applying our recent theoretical studies to practical road networks. For that purpose, the following studies have been done ; 1)to develop travel behavior models which can rationally consider the effects of ITS service use, 2)to develop micro-simulation methods, 3)to evaluate advanced transportation information system and 4)to develop the evaluation system.
In the concrete, SP surveys were carried out concerning offering of various ITS user service and information. Based on the collected data, mode choice models were developed considering information acquisition behavior (i.e. information instrument choice and information acquisitive intention models). These models were derived from r-NL model which is a discrete choice model based on relative utility maximization theory. They have advantages which can estimate the effect of multi-modal information offer. That is, these models can estimate information acquisition behavior by different information offered, utility effects on mode choice and influence on mode choice by obtained information. Using these models, the effects of different offered service on mode choice was examined by simulation analysis. As a result, it was confirmed that incremental effects by recognized information is different over obtained information types and that shares of public transport increase by obtaining multi-modal information.
Accordingly, it is concluded that this system can estimate individual travel behavior after offering information and the evaluation for advanced information system as a TDM policy can be properly measured.
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