Methods of utilizing multiple tourism transportation data for policy evaluation
| Project/Area Number |
15H03146
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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 |
Tourism Studies
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| Research Institution | University of Tsukuba |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
日比野 直彦 政策研究大学院大学, 政策研究科, 准教授 (10318206)
清水 哲夫 首都大学東京, 都市環境科学研究科, 教授 (40272679)
古屋 秀樹 東洋大学, 国際観光学部, 教授 (80252013)
栗原 剛 東海大学, 観光学部, 講師 (80610344)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥15,730,000 (Direct Cost: ¥12,100,000、Indirect Cost: ¥3,630,000)
Fiscal Year 2017: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2016: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2015: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000)
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| Keywords | 観光交通 / 周遊行動 / 目的地選択 / ビッグデータ / インバウンド / 目的地洗濯 / 交通関連ビッグデータ / 観光交通データ |
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| Outline of Final Research Achievements |
The objective of this research is to create a model that can evaluate tourism policy and to confirm the method to utilize newly emerging data such as big data etc. which are becoming popular in recent years in model creation . As an analysis using tourism transportation relationship Bigdata, 1) tourist resort characteristics analysis and 2) touringt pattern analysis were carried out to confirm whether it is data that can withstand the analysis. In the research, we analyzed existing data on tourism-related data and big data, and organized the method of utilizing tourist traffic data for tourism policy evaluation as the result of this research.
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Report
(4 results)
Research Products
(14 results)
