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Maschinelles Lernen
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Revisiting residential self-selection and travel behavior connection using a double machine learning
Fake it till you make it: Synthetic data for emerging carsharing programs
Individual and synergistic associations among transit allowance, land use, and transit commuting
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Exploring user satisfaction and improvement priorities in electric vehicle segments
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Analysis and estimation of energy consumption of electric buses using real-world data
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis