Deep Learning-Based Systems for Evaluating and Enhancing Child-Friendliness of Urban Streets—A Case of Shanghai Urban Street
In the context of rapid urbanization, urban streets have become critical spatial environments for children’s daily activities, directly influencing their mobility safety, behavioral development, and the spatial equity of cities. However, conventional assessment methods largely rely on subjective sur...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/15/13/2291 |
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