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A data-driven travel mode share estimation framework based on mobile device location data
A time-use activity-pattern recognition model for activity-based travel demand modeling
Comparing cities’ cycling patterns using online shared bicycle maps
Estimation of daily bicycle traffic using machine and deep learning techniques
Feature subset selection for predicting the success of crowdfunding project campaigns
Imputing trip purposes for long-distance travel