Year: 2021
Type: conference-paper
Abstract: 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.
Source: Computer Science Research Notes
Authors: Alexandra Cortez, Pere-Pau Vázquez
Institution: Universitat Politècnica de Catalunya
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4236462443