An efficient General Transit Feed Specification (GTFS) enabled algorithm for dynamic transit accessibility analysis Article Swipe
S. Kiavash Fayyaz S.
,
Xiaoyue Cathy Liu
,
Guohui Zhang
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0185333
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0185333
The social functions of urbanized areas are highly dependent on and supported by the convenient access to public transportation systems, particularly for the less privileged populations who have restrained auto ownership. To accurately evaluate the public transit accessibility, it is critical to capture the spatiotemporal variation of transit services. This can be achieved by measuring the shortest paths or minimum travel time between origin-destination (OD) pairs at each time-of-day (e.g. every minute). In recent years, General Transit Feed Specification (GTFS) data has been gaining popularity for between-station travel time estimation due to its interoperability in spatiotemporal analytics. Many software packages, such as ArcGIS, have developed toolbox to enable the travel time estimation with GTFS. They perform reasonably well in calculating travel time between OD pairs for a specific time-of-day (e.g. 8:00 AM), yet can become computational inefficient and unpractical with the increase of data dimensions (e.g. all times-of-day and large network). In this paper, we introduce a new algorithm that is computationally elegant and mathematically efficient to address this issue. An open-source toolbox written in C++ is developed to implement the algorithm. We implemented the algorithm on City of St. George's transit network to showcase the accessibility analysis enabled by the toolbox. The experimental evidence shows significant reduction on computational time. The proposed algorithm and toolbox presented is easily transferable to other transit networks to allow transit agencies and researchers perform high resolution transit performance analysis.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0185333
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0185333&type=printable
- OA Status
- gold
- Cited By
- 46
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2762214439
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2762214439Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0185333Digital Object Identifier
- Title
-
An efficient General Transit Feed Specification (GTFS) enabled algorithm for dynamic transit accessibility analysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2017Year of publication
- Publication date
-
2017-10-05Full publication date if available
- Authors
-
S. Kiavash Fayyaz S., Xiaoyue Cathy Liu, Guohui ZhangList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0185333Publisher landing page
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0185333&type=printableDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0185333&type=printableDirect OA link when available
- Concepts
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Transit (satellite), Computer science, Algorithm, Transit time, Transport engineering, Public transport, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
46Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 1, 2023: 8, 2022: 6, 2021: 10Per-year citation counts (last 5 years)
- References (count)
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68Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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