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Using machine learning for direct demand modeling of ridesourcing services in Chicago
Nonlinear and threshold effects of the built environment on e-scooter sharing ridership
Machine learning approach for spatial modeling of ridesourcing demand
How the built environment affects E-scooter sharing link flows: A machine learning approach
Exploring the non-linear associations between spatial attributes and walking distance to transit
Exploring built environment correlates of walking for different purposes: Evidence for substitution