Discovering urban spatial-temporal structure from human activity patterns
Urban geographers, planners, and economists have long been studying urban spatial structure to understand the development of cities. Statistical and data mining techniques, as proposed in this paper, go a long way in improving our knowledge about human activities extracted from travel surveys. As of...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2013
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| Online Access: | http://hdl.handle.net/1721.1/77151 https://orcid.org/0000-0002-8482-0318 https://orcid.org/0000-0003-0600-3803 https://orcid.org/0000-0002-3483-5132 |