Advanced Visual Interaction with Public Bicycle Sharing Systems

Abstract

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

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