BIG BICYCLE DATA PROCESSING: FROM PERSONAL DATA TO URBAN APPLICATIONS

7 citations as recorded by crossref.

1. A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments P. Zare et al. https://doi.org/10.1016/j.compenvurbsys.2023.102059
2. Developing Participatory Analytics Techniques to Inform the Prioritisation of Cycling Infrastructure O. Lock & C. Pettit https://doi.org/10.3390/ijgi11020078
3. Digital Bicycling Planning: A Systematic Literature Review of Data-Driven Approaches P. Zare et al. https://doi.org/10.3390/su142316319
4. Collecting population-representative bike-riding GPS data to understand bike-riding activity and patterns using smartphones and Bluetooth beacons D. Bhowmick et al. https://doi.org/10.1016/j.tbs.2024.100919
5. Gender differences in bicycle infrastructure use and preferences: A disconnect between ideals and reality L. Pearson et al. https://doi.org/10.1080/15568318.2025.2608985
6. Building a National-Longitudinal Geospatial Bicycling Data Collection from Crowdsourcing S. Leao et al. https://doi.org/10.3390/urbansci1030023
7. Assessing geographical representativeness of crowdsourced urban mobility data: An empirical investigation of Australian bicycling S. Lieske et al. https://doi.org/10.1177/2399808319894334