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The learning process of accessibility instrument developers: Testing the tools in planning practice
Machine learning for multi-jurisdictional optimal traffic corridor control
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
Dynamic modelling of travellers’ social interactions and social learning
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
Ineffective built environment interventions: How to reduce driving in American suburbs?
Predicting passenger satisfaction in public transportation using machine learning models
The impacts of visual street environments on obesity: The mediating role of walking behaviors
Assessing the role of geographic context in transportation mode detection from GPS data
Predicting weather-induced delays of high-speed rail and aviation in China
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
A methodology to develop a geospatial transportation typology
Reshaping China's urban networks and their determinants: High-speed rail vs. air networks
Taxi driver’s learning curves: An empirical analysis
Medium-term public transit route ridership forecasting: What, how and why? A case study in Lyon
Container terminal daily gate in and gate out forecasting using machine learning methods
Statistical and machine learning approach for planning dial-a-ride systems
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis
Analysis of links between dockless bikeshare and metro trips in Beijing
Forecasting container freight rates using the Prophet forecasting method