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