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アイテム
The Application of ETC2.0 Probe Data and Network Clustering in Investigating Urban Mobility Patterns During an Extreme Snow Event
http://hdl.handle.net/10258/0002000348
http://hdl.handle.net/10258/0002000348681c06be-e96a-49cb-b295-9f03230806c9
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
j.jmmm.2025.172918.pdf (6.6 MB)
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| アイテムタイプ | 学術雑誌論文 / Journal Article.(1) | |||||||||||||||||
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| 公開日 | 2025-06-13 | |||||||||||||||||
| 書誌情報 |
en : International Journal of Intelligent Transportation Systems Research 巻 23, 号 1, p. 534-543, ページ数 10, 発行日 2025-02-22 |
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| エンバーゴ | ||||||||||||||||||
| 日付 | 2026-02-22 | |||||||||||||||||
| 日付タイプ | Available | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | The Application of ETC2.0 Probe Data and Network Clustering in Investigating Urban Mobility Patterns During an Extreme Snow Event | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 言語 | ||||||||||||||||||
| 言語 | eng | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | ETC2.0 | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Network clustering | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Urban mobility | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Heavy snow | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Sapporo | |||||||||||||||||
| 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 | |||||||||||||||||
| アクセス権 | ||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||||||||
| 著者 |
Ha, Tran Vinh
× Ha, Tran Vinh
× 有村, 幹治
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| 抄録 | ||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||
| 内容記述 | Implementing the Vehicle-to-Infrastructure with the upgraded electronic toll collection systems (ETC2.0) has transformed Japan's transportation infrastructure by elevating it into one of the foremost Intelligent Transport Systems. Despite the wealth of data provided by ETC2.0, its application in studying urban mobility patterns under extreme weather conditions remains limited. This study examines the impact of heavy snowfall on the mobility network in Sapporo, Japan, using ETC2.0 probe data. By comparing mobility patterns on selected heavy snow and normal days in February 2022, the study identifies significant changes in network structure and community distribution. Findings reveal that heavy snowfall causes fragmentation of mobility networks, with notable shifts in community locations and node centrality. The study underscores the importance of maintaining connectivity to industrial and commercial areas during extreme weather events and highlights the need for further research into the relationship between community structures and travel behavior. | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 出版者 | ||||||||||||||||||
| 出版者 | Springer Nature | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| DOI | ||||||||||||||||||
| 関連タイプ | isVersionOf | |||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||
| 関連識別子 | 10.1007/s13177-025-00467-y | |||||||||||||||||
| ISSN | ||||||||||||||||||
| 収録物識別子タイプ | PISSN | |||||||||||||||||
| 収録物識別子 | 1348-8503 | |||||||||||||||||
| 権利 | ||||||||||||||||||
| 権利情報 | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s13177-025-00467-y | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 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 | |||||||||||||||||
