Bridges across borders: A clustering approach to support EU regional policy
A data-driven decision support system for service completion prediction in last mile logistics
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Exploring the non-linear associations between spatial attributes and walking distance to transit
Predicting passenger satisfaction in public transportation using machine learning models
Ineffective built environment interventions: How to reduce driving in American suburbs?
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Forecasting road traffic conditions using a context-based random forest algorithm
Predicting weather-induced delays of high-speed rail and aviation in China
Traffic volume prediction on low-volume roadways: a Cubist approach
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning