With the rapid development of mobile Internet and IoT, shared-bike use has surged, especially since 2020 when COVID-19 caused public transport suspension in many cities. Shared bikes have become a greener and healthier travel option. However, there are big differences in the bike - riding friendliness of existing urban roads, which requires fine-graine urban management. Therefore, it’s crucial to build an evaluation index system for “shared-bike riding friendliness” to help operators and urban authorities make decisions. This paper uses various data sources, such as shared-bike trajectory, street view, digital elevation models, mobile phone signaling, POI, meteorological reanalysis, and air quality monitoring data, to analyze the spatio-temporal distribution of shared - bike riding friendliness. The results show that it’s significantly affected by residents’ slow-travel behavior, the urban natural environment, and the urban built environment.