Data-Fusion Approach for Estimating Inter-Regional Passenger Flow for Multiple Days across Different Trip Purposes
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- SUZUKI Arata
- 東京工業大学環境・社会理工学院修士課程
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- YAMAGUCHI Hiromichi
- 金沢大学理工研究域
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- FUKUDA Daisuke
- 東京工業大学環境・社会理工学院
Bibliographic Information
- Other Title
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- データ融合による日別・旅行目的別都市間旅客流動量推計
- データ ユウゴウ ニ ヨル ヒ ベツ ・ リョコウ モクテキ ベツ トシ カン リョカク リュウドウリョウ スイケイ
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Abstract
<p>In recent years, aggregate mobile phone data such as Mobile Spatial Statistics (MSS) has been increasingly applied for transport data collections. Though MSS enables to obtain the data of various days and seasons easily, it does not contain passengers ‘qualitative information’ such as trip-purposes. Thus we propose a novel data-fusion methodology of Inter-Regional Travel Survey (IRTS) and MSS to estimate inter-regional passenger flow by different trip purposes for multiple days and seasons. We found that: (1) the predicted annual passenger demand by each trip purpose is similar with the predicted one from another statistics; (2) the predicted daily passenger demand is reasonable for some origin prefectures with large cities; but, (3) the predicted daily passenger demand seems to be unreasonable for some origin prefectures in rural areas.</p>
Journal
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- Transport Policy Studies' Review
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Transport Policy Studies' Review 21 (0), 048-059, 2019-02-28
Japan Transport and Tourism Research Institute
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Keywords
Details 詳細情報について
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- CRID
- 1390282763108907392
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- NII Article ID
- 130007635792
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- NII Book ID
- AA11287548
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- ISSN
- 24337366
- 13443348
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- NDL BIB ID
- 029600469
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed