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Warning systems triggered by trains increase flight-initiation times of wildlife
Using open data and deep learning to explore walkability in Shenzhen, China
Using explainable machine learning to understand how urban form shapes sustainable mobility
Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Trans-Pacific HDR Satellite Communications Experiment Phase-2: Project Plan and Experimental Network
Transit electrification state of the art: A machine-learning based text mining approach
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
Strategieplanungen für das hybride Recycling in der Automobilindustrie
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Spanish - Basic Course, Units 31-45 (Audiocassettes)
Short-term electric vehicle battery swapping demand prediction: Deep learning methods
Sharing behavior in ride-hailing trips: A machine learning inference approach
Revisiting residential self-selection and travel behavior connection using a double machine learning
Revealing influences on carsharing users’ trip distance in small urban areas