Abstracting mobility flows from bike-sharing systems.

Fabio Kon1,2, Éderson Cássio Ferreira1, Higor Amario de Souza1

  • 1Department of Computer Science, University of São Paulo, São Paulo, Brazil.

Public Transport (Heidelberg, Germany)
|April 16, 2024
PubMed
Summary

This study introduces a new method to analyze bike-sharing data, supporting urban planners in making data-driven decisions for better city mobility and sustainability. The tool visualizes mobility flows, aiding policy-making.

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