Open AccessAdvanced Visual Interaction with Public Bicycle Sharing Systems
Author(s) -
Alexandra Cortez,
PerePau Vázquez
Publication year - 2021
Publication title -
computer science research notes
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.11
H-Index - 4
eISSN - 2464-4625
pISSN - 2464-4617
DOI - 10.24132/csrn.2021.3101.23
Subject(s) - computer science , visualization , bike sharing , public transport , transport engineering , human–computer interaction , engineering , artificial intelligence
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 and optimize re-balancing operations that 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 from regular users and experts in policy-making, system operation, and urban planning, we have created a web-based visualization system that facilitates the analysis of docking stations’ behavior. This system provides the first group with 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 or complementary 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.