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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 data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
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
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Analyzing changes in travel patterns due to Covid-19 using Twitter data in India
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
Using explainable machine learning to understand how urban form shapes sustainable mobility
Applications of machine learning methods in port operations – A systematic literature review
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Gender differences in active travel among older adults: Non-linear built environment insights
Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting
Artificial intelligence and machine learning
Exploring the nonlinear effects of built environment characteristics on customized bus service
Exploring nonlinear built environment effects on driving with a mixed-methods approach
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
Revealing influences on carsharing users’ trip distance in small urban areas
Environmental screening model of driving behavior for an electric bus entering and leaving stops
Transit electrification state of the art: A machine-learning based text mining approach
A comprehensive review of trip generation models based on land use characteristics
A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations
Systematizing the lexicon of platforms in information systems: a data-driven study
Designing a feature selection method based on explainable artificial intelligence