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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Springer-Verlag
2014
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| Online Access: | 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 |