| Item type |
SIG Technical Reports(1) |
| 公開日 |
2023-02-21 |
| タイトル |
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|
タイトル |
Generic Trip Purpose Inference Modelling on Trip Chain |
| タイトル |
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言語 |
en |
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タイトル |
Generic Trip Purpose Inference Modelling on Trip Chain |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
|
主題 |
博士論文 |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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The University of Tokyo |
| 著者所属 |
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The University of Tokyo |
| 著者所属 |
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The University of Tokyo |
| 著者所属 |
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The University of Tokyo |
| 著者所属(英) |
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en |
|
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The University of Tokyo |
| 著者所属(英) |
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en |
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The University of Tokyo |
| 著者所属(英) |
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en |
|
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The University of Tokyo |
| 著者所属(英) |
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en |
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The University of Tokyo |
| 著者名 |
Suxing, Lyu
Yuuki, Nishiyama
Kaoru, Sezaki
Takahiko, Kusakabe
|
| 著者名(英) |
Suxing, Lyu
Yuuki, Nishiyama
Kaoru, Sezaki
Takahiko, Kusakabe
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
Urban transportation systems are under increasing pressure from rapid population growth. At the same time, urban functions are becoming complex and diversified. In this context, the rapid transformation of cities has long promoted the demand for human mobility (travel behavior) analysis. Trip purpose, one of the behavioral factors, is crucial to understanding human mobility generation. But keeping track of trip purpose is not easy. Nowadays, there is a huge volume of human mobility data passively collected by mobile devices. Trip purpose is right the missing item form the data. The more reliable we are in the inference of the missing items, the more beneficial we can get from the data. A generic trip purpose inference can bring semantic information to human mobility. Consequently, the decision of urban transportation and urban infrastructure development will be improved and supported based on the understanding of human mobility generation. The doctoral study reports the findings on developing the generic privacy-insensitive trip purpose inference for one-day travel (trip chain). |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Urban transportation systems are under increasing pressure from rapid population growth. At the same time, urban functions are becoming complex and diversified. In this context, the rapid transformation of cities has long promoted the demand for human mobility (travel behavior) analysis. Trip purpose, one of the behavioral factors, is crucial to understanding human mobility generation. But keeping track of trip purpose is not easy. Nowadays, there is a huge volume of human mobility data passively collected by mobile devices. Trip purpose is right the missing item form the data. The more reliable we are in the inference of the missing items, the more beneficial we can get from the data. A generic trip purpose inference can bring semantic information to human mobility. Consequently, the decision of urban transportation and urban infrastructure development will be improved and supported based on the understanding of human mobility generation. The doctoral study reports the findings on developing the generic privacy-insensitive trip purpose inference for one-day travel (trip chain). |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA11851388 |
| 書誌情報 |
研究報告モバイルコンピューティングと新社会システム（MBL）
巻 2023-MBL-106,
号 24,
p. 1-2,
発行日 2023-02-21
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8817 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-MBL23106024.pdf (268.6 kB)
