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Exploring the non-linear associations between spatial attributes and walking distance to transit
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Ineffective built environment interventions: How to reduce driving in American suburbs?
Forecasting road traffic conditions using a context-based random forest algorithm
Predicting passenger satisfaction in public transportation using machine learning models
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Predicting weather-induced delays of high-speed rail and aviation in China
Traffic volume prediction on low-volume roadways: a Cubist approach
Modeling time-of-day car use behavior: A Bayesian network approach
Domino effect in marine accidents: Evidence from temporal association rules
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Using explainable machine learning to understand how urban form shapes sustainable mobility
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm