Automated open-source data collection and processing: an example of OpenStreetMap and bike-sharing

摘要

We implemented this method by automatically assigning indicators to the built environment features included in the OSM database to correlate them with the ridership data of station-based bike-sharing systems (SBBS) in multiple cities. Furthermore, we built linear and non-linear models to identify the most influencing factors of the built environment affecting the ridership of SBBS.