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Maschinelles Lernen
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Modeling time-of-day car use behavior: A Bayesian network approach
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Machine learning approach to ship fuel consumption: A case of container vessel
Potential of machine learning for prediction of traffic related air pollution
Greenhouse gas emission prediction on road network using deep sequence learning
Estimating wildlife strike costs at US airports: A machine learning approach
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Non-linear associations between the built environment and the physical activity of children
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Sharing behavior in ride-hailing trips: A machine learning inference approach
A time series clustering based approach for construction of real-world drive cycles
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