Using Data on Bike-Sharing System User Stopovers in Smart Tourism: A Case Study

Bike-sharing systems are an important element in development of the smart cities and datasets from these one ways to obtain large amount information on bicycle traffic. These usually contain data origin destination each trip, as well its time duration. Alongside basic data, some operators also provide exact route picked by user. This allows researchers study stopovers, which may serve a source interesting human behaviour public spaces and, consequence, help improve analysis design. However, using raw lead errors because most stops occur vicinity bike stations or related traffic problems, evidenced case Cracow. The filtering method proposed below opens up possibility for such further research user spaces.