Exploring spatial association between residential and commercial urban spaces: A machine learning approach using taxi trajectory data
Human mobility datasets, such as traffic flow data, reveal the connections between urban spaces. A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A social network analysis and a community detec...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Minnesota Libraries Publishing
2024-02-01
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| Series: | Journal of Transport and Land Use |
| Subjects: | |
| Online Access: | http://jtlu.org/index.php/jtlu/article/view/1800 |
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