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Detection of base travel groups with different sensitivities to new high-speed rail services: Non-negative tensor decomposition approach
https://doi.org/10.24517/00058916
https://doi.org/10.24517/000589162d061e57-84a8-40e2-9b90-53ca44802f2f
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-YAMAGUCHI-H-37.pdf (2.3 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||
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| 公開日 | 2020-07-31 | |||||||||
| タイトル | ||||||||||
| タイトル | Detection of base travel groups with different sensitivities to new high-speed rail services: Non-negative tensor decomposition approach | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| ID登録 | ||||||||||
| ID登録 | 10.24517/00058916 | |||||||||
| ID登録タイプ | JaLC | |||||||||
| 著者 |
Yamaguchi, Hiromichi
× Yamaguchi, Hiromichi× Nakayama, Shoichiro |
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| 著者別表示 |
山口, 裕通
× 山口, 裕通
× 中山, 晶一朗
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| 提供者所属 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | 金沢大学理工研究域地球社会基盤学系 | |||||||||
| 書誌情報 |
Transport Policy 巻 97, p. 37-46, 発行日 2020-10-01 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 0967-070X | |||||||||
| NCID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AA1100916X | |||||||||
| DOI | ||||||||||
| 関連タイプ | isVersionOf | |||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | 10.1016/j.tranpol.2020.07.012 | |||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | How many base travel groups (models) are necessary for clarifying the long-term day-to-day dynamics of intercity travel? In the past, several travel purposes (e.g., sightseeing, business, etc.) have been assumed. However, mobile-phone location data enables us to answer the above question because of their detailed time-series information. In this study, we propose a method for deriving the basic travel groups necessary for clarifying the time-series changes by applying nonnegative tensor factorization (NTF). This method is applied to the time-series data of several long-distance travelers to the Ishikawa prefecture, to where the Hokuriku High-speed rail (HSR) has been newly extended. Based on this, the number of base travel groups necessary for predicting the effect of the new HSR is estimated as twelve, which is greater than the number used in the previous demand forecasting models. The estimated groups include components that appear to correspond to different travel purposes (e.g., sightseeing, business, and homecoming), as in previous surveys. These results confirm that the methodology proposed in this study can clearly extract groups with different elasticities, due to the traffic service. The HSR effect can be clarified by dividing it into several characteristics and detailed components. In addition, if multiple HSR effects are analyzed, a more accurate demand-forecasting model for the new HSR service can be proposed. | |||||||||
| 内容記述 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Embargo Period 12 months | |||||||||
| 権利 | ||||||||||
| 権利情報 | Copyright © Elsevier (CC-BY NC ND) | |||||||||
| 著者版フラグ | ||||||||||
| 出版タイプ | AM | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||
| 関連URI | ||||||||||
| 識別子タイプ | URI | |||||||||
| 関連識別子 | https://www.sciencedirect.com/science/article/pii/S0967070X20304108?via%3Dihub | |||||||||
| 関連名称 | https://www.sciencedirect.com/science/article/pii/S0967070X20304108?via%3Dihub | |||||||||
| 関連URI | ||||||||||
| 識別子タイプ | URI | |||||||||
| 関連識別子 | http://www.elsevier.com/locate/issn/0967070X | |||||||||
| 関連名称 | http://www.elsevier.com/locate/issn/0967070X | |||||||||
