GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916615558266880 |
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| author | Liu, Diyi Guo, Jing Gu, Yangsong King, Meredith Han, Lee D. Brakewood, Candace |
| author_facet | Liu, Diyi Guo, Jing Gu, Yangsong King, Meredith Han, Lee D. Brakewood, Candace |
| contents | The General Transit Feed Specification (GTFS) is an open standard format for recording transit information, utilized by thousands of transit agencies worldwide. This study introduces GTFS2STN, a novel tool that converts static GTFS transit networks into spatiotemporal networks, connecting bus stops across space and time. This transformation enables comprehensive analysis of transit system accessibility. Additionally, we present a web-based application version of the GTFS2STN tool that allows users to generate spatiotemporal networks online and perform basic analyses, including the creation of isochrone maps from a given origin and the calculation of travel time variability between origin-destination pairs over time. Comparative analysis demonstrates that GTFS2STN produces results similar to those of Mapnificent, an existing open-source tool for generating isochrone maps from GTFS inputs. Compared with Mapnificent, GTFS2STN offers enhanced flexibility for researchers and planners to evaluate transit plans, as it allows users to upload and analyze historical or suggested GTFS feeds from any transit agency. This feature facilitates the assessment of accessibility and travel time variability in transit networks over extended periods, making GTFS2STN a valuable tool for the planning and research for the transit systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_02760 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network Liu, Diyi Guo, Jing Gu, Yangsong King, Meredith Han, Lee D. Brakewood, Candace Computational Engineering, Finance, and Science Social and Information Networks The General Transit Feed Specification (GTFS) is an open standard format for recording transit information, utilized by thousands of transit agencies worldwide. This study introduces GTFS2STN, a novel tool that converts static GTFS transit networks into spatiotemporal networks, connecting bus stops across space and time. This transformation enables comprehensive analysis of transit system accessibility. Additionally, we present a web-based application version of the GTFS2STN tool that allows users to generate spatiotemporal networks online and perform basic analyses, including the creation of isochrone maps from a given origin and the calculation of travel time variability between origin-destination pairs over time. Comparative analysis demonstrates that GTFS2STN produces results similar to those of Mapnificent, an existing open-source tool for generating isochrone maps from GTFS inputs. Compared with Mapnificent, GTFS2STN offers enhanced flexibility for researchers and planners to evaluate transit plans, as it allows users to upload and analyze historical or suggested GTFS feeds from any transit agency. This feature facilitates the assessment of accessibility and travel time variability in transit networks over extended periods, making GTFS2STN a valuable tool for the planning and research for the transit systems. |
| title | GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network |
| topic | Computational Engineering, Finance, and Science Social and Information Networks |
| url | https://arxiv.org/abs/2405.02760 |