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G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data

Author

Listed:
  • Sirapop Para

    (Chiang Mai University)

  • Thanachok Wirotsasithon

    (Chiang Mai University)

  • Thanisorn Jundee

    (Chiang Mai University
    Chiang Mai University)

  • Merkebe Getachew Demissie

    (University of Calgary)

  • Yoshihide Sekimoto

    (The University of Tokyo)

  • Filip Biljecki

    (National University of Singapore
    National University of Singapore)

  • Santi Phithakkitnukoon

    (Chiang Mai University
    Chiang Mai University)

Abstract

Public transit agencies have amassed substantial data through on-board and off-board sensors over the years. While data collection was the primary focus, there is now a shift towards deriving actionable insights from this wealth of information. As data-driven decision making becomes increasingly vital, there is a growing need for effective ways to visualize and convey complex insights to decision makers. This study addresses this need by introducing G2Viz, a visualizer for public transit operations. The development process of G2Viz spans requirement gathering, planning, and design, encompassing software architecture, data models, user interfaces, and system components. Rigorous implementation and testing ensure the tool’s functionality and effectiveness. G2Viz, designed to dynamically visualize public transit operations using General Transit Feed Specification (GTFS) data, is a web application accessible globally via any web browser. Its open-source nature, robustness, and versatility facilitate communication among transit agencies, users, researchers, and city authorities. G2Viz empowers transit planners to make well-informed decisions about public transportation. (Access G2Viz at https://g2viz.citycontext.info ).

Suggested Citation

  • Sirapop Para & Thanachok Wirotsasithon & Thanisorn Jundee & Merkebe Getachew Demissie & Yoshihide Sekimoto & Filip Biljecki & Santi Phithakkitnukoon, 2024. "G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data," Public Transport, Springer, vol. 16(3), pages 893-928, October.
    • Handle: RePEc:spr:pubtra:v:16:y:2024:i:3:d:10.1007_s12469-024-00362-x
    DOI: 10.1007/s12469-024-00362-x
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