Predictors of Early Adoption of the General Transit Feed Specification
The use of the general transit feed specification (GTFS) data standard has spread rapidly since its introduction in 2007, although it is still not universal in the United States. To explain which transit agencies are likely to have been early adopters of GTFS, we estimate a logistic regression model...
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| Format: | Article |
| Language: | English |
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Findings Press
2023-01-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.57722 |
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| _version_ | 1850219683565797376 |
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| author | Carole Turley Voulgaris Charuvi Begwani |
| author_facet | Carole Turley Voulgaris Charuvi Begwani |
| author_sort | Carole Turley Voulgaris |
| collection | DOAJ |
| description | The use of the general transit feed specification (GTFS) data standard has spread rapidly since its introduction in 2007, although it is still not universal in the United States. To explain which transit agencies are likely to have been early adopters of GTFS, we estimate a logistic regression model predicting GTFS adoption based on service area and agency characteristics. We find that agencies with higher ridership and those providing lower shares of a region's total vehicle revenue kilometers have tended to adopt GTFS earlier. |
| format | Article |
| id | doaj-art-079e26c780ec4cfeaf6f034bc160faec |
| institution | OA Journals |
| issn | 2652-8800 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Findings Press |
| record_format | Article |
| series | Findings |
| spelling | doaj-art-079e26c780ec4cfeaf6f034bc160faec2025-08-20T02:07:19ZengFindings PressFindings2652-88002023-01-0110.32866/001c.57722Predictors of Early Adoption of the General Transit Feed SpecificationCarole Turley VoulgarisCharuvi BegwaniThe use of the general transit feed specification (GTFS) data standard has spread rapidly since its introduction in 2007, although it is still not universal in the United States. To explain which transit agencies are likely to have been early adopters of GTFS, we estimate a logistic regression model predicting GTFS adoption based on service area and agency characteristics. We find that agencies with higher ridership and those providing lower shares of a region's total vehicle revenue kilometers have tended to adopt GTFS earlier.https://doi.org/10.32866/001c.57722 |
| spellingShingle | Carole Turley Voulgaris Charuvi Begwani Predictors of Early Adoption of the General Transit Feed Specification Findings |
| title | Predictors of Early Adoption of the General Transit Feed Specification |
| title_full | Predictors of Early Adoption of the General Transit Feed Specification |
| title_fullStr | Predictors of Early Adoption of the General Transit Feed Specification |
| title_full_unstemmed | Predictors of Early Adoption of the General Transit Feed Specification |
| title_short | Predictors of Early Adoption of the General Transit Feed Specification |
| title_sort | predictors of early adoption of the general transit feed specification |
| url | https://doi.org/10.32866/001c.57722 |
| work_keys_str_mv | AT caroleturleyvoulgaris predictorsofearlyadoptionofthegeneraltransitfeedspecification AT charuvibegwani predictorsofearlyadoptionofthegeneraltransitfeedspecification |