| Project/Area Number |
07455205
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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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 | KYOTO UNIVERSITY |
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Principal Investigator |
KITAMURA Ryuichi Kyoto University, Department of civil engineering systems, Professor, 工学研究科, 教授 (60252467)
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| Co-Investigator(Kenkyū-buntansha) |
YAMAMOTO Toshiyuki Kyoto University, Department of civil engineering systems, research associate, 工学研究科, 助手 (80273465)
FUJII Satoshi Kyoto University, Department of civil engineering systems, research associate, 工学研究科, 助手 (80252469)
IIDA Katsuhiro Osaka University, Department of civil engineering, research associate, 工学部, 助手 (70222809)
UCHIDA Takashi Tohoku University, Department of civil engineering, Associate Professor, 工学研究科, 助教授 (60203535)
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| Project Period (FY) |
1995 – 1996
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| Project Status |
Completed (Fiscal Year 1996)
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| Budget Amount *help |
¥4,100,000 (Direct Cost: ¥4,100,000)
Fiscal Year 1996: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 1995: ¥2,400,000 (Direct Cost: ¥2,400,000)
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| Keywords | activity analysis / quality of life / timeuse / activity pattern choice / induced trips / accessibility index / 時間利用データ / パネル分析 / アクティビイティ分析 / アクティビィティ分析 / 阪神淡路大震災 |
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| Research Abstract |
In this study, we collected individuals'time use data through household survey in Osaka-Kobe metropolitan area. Using the data sets we collected and the other individuals'time use data sets, we developed activity models and applied it to the evaluation of transportation improvement policies.
We developed a time allocation model to two types of discretionary activities based on the concept of random utility maximization. Discretionary activities are engaged in in-home and out-of-home. The latter causes the trip to the place the activity is engaged. The analysis can be adopted to forecast trip generations.
A structural equations model system of commuters'time use and travel after work was developed to evaluate induced trips. The resulting model system was applied to evaluate some alternative improvement strategies. A model system was developed for quantifying the utility associated with individuals'daily activity-travel patterns. Assuming that individuals allocate time to each activity whi
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le maximizing the total utility, the duration of each activity is determined and choice probabilities associated with alternative daily patterns are evaluated. This methodological framework was applied to the evaluation of alternative transportation improvement policies.
An accessibility index based on activity pattern choice model was developed in order to evaluate transportation measures that contribute to individuals'quality of life. This accessibility index was formulated as the expected maximum utility. The calculation of the accessibility index indicated that accessibility is affected by residential location, work location, and commuting time.
A micro-simulation model system of individuals'daily activity behavior was presented. This simulation model incorporates spatial, temporal and coupling constraints that restrict individuals'daily activity behavior. The model system is composed of an activity choice model, a mode and destination choice model and activity duration models. The model system was applied to estimate the effect of hypothetical transportation policies on an imaginary individual. Less
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