Advanced Visual Interaction with Public Bicycle Sharing Systems

Nowadays, public bicycle sharing systems have become popular and widespread across the world. Their usefulness largely depends on their ability to synchronize with citizens’ usage patterns optimize re-balancing operations that must be carried out reduce outages. Two crucial factors tackle this problem are stations’ characteristics (geography, location, etc) availability of bikes drop-off slots. Based requirements input from regular users experts in policy-making, system operation, urban planning, we created a web-based visualization facilitates analysis docking behavior. This provides first group prediction both bike free slots stations assist planning. Besides, helps second understand get deeper insights (e.g. need for resizing or complementary transportation systems) facilitate decision-making better fulfill needs. In finalevaluation, groups found it highly useful, effective, suited than other existent applications.