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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
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Exploring user satisfaction and improvement priorities in electric vehicle segments
Analysis and estimation of energy consumption of electric buses using real-world data
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting
Using explainable machine learning to understand how urban form shapes sustainable mobility
Gender differences in active travel among older adults: Non-linear built environment insights