Clustering daily patterns of human activities in the city
Data mining and statistical learning techniques are powerful analysis tools yet to be incorporated in the domain of urban studies and transportation research. In this work, we analyze an activity-based travel survey conducted in the Chicago metropolitan area over a demographic representative sample...
| 主要な著者: | , , |
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| その他の著者: | |
| フォーマット: | 論文 |
| 言語: | en_US |
| 出版事項: |
Springer-Verlag
2014
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| オンライン･アクセス: | http://hdl.handle.net/1721.1/88202 https://orcid.org/0000-0002-8482-0318 https://orcid.org/0000-0003-0600-3803 https://orcid.org/0000-0002-3483-5132 |