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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
Exploring the non-linear associations between spatial attributes and walking distance to transit
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Bridges across borders: A clustering approach to support EU regional policy
Using machine learning for direct demand modeling of ridesourcing services in Chicago
A methodology to develop a geospatial transportation typology
A kilometer or a mile? Does buffer size matter when it comes to car ownership?
Machine learning approach for spatial modeling of ridesourcing demand
Exploring built environment correlates of walking for different purposes: Evidence for substitution
Nonlinear and threshold effects of the built environment on e-scooter sharing ridership