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

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).

• Record URL:
  • https://doi.org/10.1007/s12469-024-00362-x
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1866749X
• Supplemental Notes:
  • © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
• Authors:
  • Para, Sirapop
  • Wirotsasithon, Thanachok
  • Jundee, Thanisorn
  • Demissie, Merkebe Getachew
  • Sekimoto, Yoshihide
  • Biljecki, Filip
  • Phithakkitnukoon, Santi
  • 0000-0002-5716-9363
• Publication Date: 2024-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 893-928
• Serial:
  • Public Transport
  • Volume: 16
  • Issue Number: 3
  • Publisher: Springer Publishing
  • ISSN: 1866-749X
  • EISSN: 1613-7159
  • Serial URL: http://link.springer.com/journal/12469

Subject/Index Terms

• TRT Terms: Data analysis; Decision making; Transportation planning; Visualization
• Identifier Terms: General Transit Feed Specification (GTFS)
• Subject Areas: Administration and Management; Data and Information Technology; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01942099
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 13 2025 9:14AM