Exploring Walking Behavior in the Streets of New York City Using Hourly Pedestrian Count Data
This paper explores hourly automated pedestrian count data of seven locations in New York City to understand pedestrian walking patterns in cities. Due to practical limitations, such patterns have been studied conceptually; few researchers have explored walking as a continuous, long-term activity. A...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sustainability |
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| Online Access: | https://www.mdpi.com/2071-1050/12/19/7863 |