References

• 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
• 2014Urban activity pattern classification using topic models from online geo-location data289 cited
• 2019Active travel for active ageing in China: The role of built environment248 cited
• 2018To be or not to be dockless: Empirical analysis of dockless bikeshare development in China234 cited
• 2018Understanding bike sharing travel patterns: An analysis of trip data from eight cities120 cited
• 2018Identifying tourists and analyzing spatial patterns of their destinations from location-based social media data108 cited
• 2014Inferring Urban Land Use Using Large-Scale Social Media Check-in Data102 cited
• 2017Tweeting Transit: An examination of social media strategies for transport information management during a large event91 cited
• 2017Spatial variations in active mode trip volume at intersections: a local analysis utilizing geographically weighted regression81 cited
• 2014Origin-Destination Estimation for Non-Commuting Trips Using Location-Based Social Networking Data62 cited
• 2018Understanding bike share reach, use, access and function: An exploratory study61 cited
• 2019Do new bike share stations increase member use: A quasi-experimental study58 cited
• 2018Usage Patterns and Impact Factors of Public Bicycle Systems: Comparison between City Center and Suburban District in Shenzhen