Applying machine learning to decode built environment thresholds for public and active transport distances in the global south
Urban mobility in rapidly growing megacities, particularly in the Global South, presents unique challenges due to population densities, fragmented transit networks, and informal urban growth. While extensive research has examined how the built environment (BE) influences transport mode choice, the i...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Journal of Urban Mobility |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667091725000457 |
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