| Project/Area Number |
16560461
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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 | Nagoya Institute of Technology |
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Principal Investigator |
FUJITA Motohiro Nagoya Institute of Tech., Associate Professor, 工学研究科, 助教授 (90229013)
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| Co-Investigator(Kenkyū-buntansha) |
SUZUKI Koji Nagoya Institute of Tech., Research Associate, 工学研究科, 助手 (30362320)
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| Project Period (FY) |
2004 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥2,900,000 (Direct Cost: ¥2,900,000)
Fiscal Year 2005: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2004: ¥2,000,000 (Direct Cost: ¥2,000,000)
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| Keywords | downpour disaster / road traffic / animated analysis / GIS / heavy congestion / travel behavior / 徒歩交通 / 公共交通 / 交通対策 |
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| Research Abstract |
In this study, we aim to analyze road traffic situation for drivers and travelers in public transport between origin and destination under the downpour disaster occurred in the time period for citizens going home in Nagoya city area, September 2000, by using survey data including the their routes, travel times and a huge congestion and flooding road sections under the disaster. As a result of analysis, we were able to make obvious that the downpour had great influence on transportation networks in the city.
We proposed the models of developing the road condition analysis, elevation analysis, animated traffic simulations of GIS and applied to the road traffic situation under Tokai downpour by using travel survey and tachometer survey of the drivers who had driven under the downpour. As a result, it was revealed that the characteristic of flood situation by downpour is depended on the landscape character around the area, and chronic traffic jams had continued until midnight at the areas which were affected by the downpour.
We also analyzed driver's consciousness and activity by using their experience data under downpour, and developed departure behavioral models of drivers under a downpour, and applied the model to the sensibility analysis of road network situation for considering impact of traffic measures changing departure behavior by using GIS.
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