Time Series Analysis of Domestic Tourists' Behavior Based on Individual Data of Tourism Statistics and Inter-City Transportation Data
| Project/Area Number |
23760477
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Civil engineering project/Traffic engineering
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| Research Institution | National Graduate Institute for Policy Studies |
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Principal Investigator |
HIBINO Naohiko 政策研究大学院大学, 政策研究科, 准教授 (10318206)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2011: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 土木計画 / 観光 / 統計調査 / 観光統計 / 交通計画 / 観光政策 / 統計 |
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| Research Abstract |
The objective of the study is to analyze time series changes in tourists' behavior using individual data of several tourism statistics. This study shows that for the same question, differences are observed among the statistics. Therefore, it is necessary to improve the way of sample extraction, and at the same time combining those statistics enables an extensive analysis with broad items.
The study also finds that hot spring used to be the most popular activities, but the favor had been decreasing. The results of cohort analysis, which discomposes influence of a phenomenon into period, age and cohort, support the decrease in favor of hot spring. The study also discusses the data fusion between domestic tourists' behavior data and inter-city transportation data.
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Report
(4 results)
Research Products
(10 results)
