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Revisiting residential self-selection and travel behavior connection using a double machine learning
Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
This is what’s in store for you: How online social learning affects product positioning
Exploring nonlinear built environment effects on driving with a mixed-methods approach
Feature subset selection for predicting the success of crowdfunding project campaigns
A time series clustering based approach for construction of real-world drive cycles
Prediction of vehicle reliability performance using artificial neural networks
Minimizing the total completion time of an urban delivery problem with uncertain assembly time
Estimating urban freight flow using limited data: The case of Delhi, India
Fake it till you make it: Synthetic data for emerging carsharing programs