---
title: "GTFS transit feeds: research papers using this data"
description: "From Nov 2023 to Oct 2026, 71 archived papers mentioned GTFS transit feeds in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2026 (5)."
url: https://scholar4ai.com/datasets/gtfs-transit-feeds
markdown_url: https://scholar4ai.com/datasets/gtfs-transit-feeds.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 71 archived papers mentioned GTFS transit feeds in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2026 (5). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# GTFS transit feeds

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/3.md)

Phone-based foot traffic and movement data, public transit feeds and trip records of shared mobility.

- data category: Mobility and location data
- 0 papers in the last 7 days
- Names searched for: General Transit Feed Specification, GTFS

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Mobility and location data datasets: https://scholar4ai.com/datasets/mobility-and-location-data.md



## Key findings

- From Nov 2023 to Oct 2026, 71 archived papers mentioned GTFS transit feeds in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2026 (5).
- GTFS transit feeds was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
- By journal category: Operations Research (1).
- Most of them appeared in Public Transport (1).
- From 2017 to 2026 (so far), GTFS transit feeds was mentioned in 89 papers in the tracked journals, most of them in operations research (63), AI (14) and economics (11).
- 19 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Technical University of Munich (5), McGill University (4) and University of Leeds (4).
- The journals publishing most of them were Transportation (14), Transportation Research Part A Policy and Practice (13) and Transport Policy (8).
- The most-cited of them is “Public transport trip purpose inference using smart card fare data” (Transportation Research Part C Emerging Technologies, 2018), with 160 citations.
- Papers use GTFS transit feeds most often with OpenStreetMap (21), ImageNet (5) and American Community Survey (4); it has 7 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 23 | 24 | 24 | 71 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 3 | 2 | 3 | 1 | 3 | 5 | 15 | 15 | 16 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 4 | 3 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 0 | 5 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| All categories | 0 | 3 | 2 | 3 | 2 | 5 | 9 | 22 | 19 | 24 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Transportation](https://scholar4ai.com/journals/transportation.md) | 14 |
| 2 | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 13 |
| 3 | [Transport Policy](https://scholar4ai.com/journals/transport-policy.md) | 8 |
| 4 | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 7 |
| 5 | [Public Transport](https://scholar4ai.com/journals/public-transport.md) | 7 |
| 6 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2 |
| 7 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| 8 | [Transportation Research Part E Logistics and Transportation Review](https://scholar4ai.com/journals/transportation-research-part-e-logistics-and-transportation-review.md) | 2 |
| 9 | [Networks and Spatial Economics](https://scholar4ai.com/journals/networks-and-spatial-economics.md) | 2 |
| 10 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Technical University of Munich](https://scholar4ai.com/institutions/technical-university-of-munich.md) | 5 |
| 2 | [McGill University](https://scholar4ai.com/institutions/mcgill-university.md) | 4 |
| 3 | [University of Leeds](https://scholar4ai.com/institutions/university-of-leeds.md) | 4 |
| 4 | Chalmers University of Technology | 3 |
| 5 | Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) | 3 |
| 6 | KTH Royal Institute of Technology | 3 |
| 7 | [The University of Tokyo](https://scholar4ai.com/institutions/the-university-of-tokyo.md) | 3 |
| 8 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 2 |
| 9 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 2 |
| 10 | Commonwealth Scientific and Industrial Research Organisation | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | Germany | 13 |
| 2 | China | 12 |
| 3 | United States | 12 |
| 4 | United Kingdom | 9 |
| 5 | Australia | 8 |
| 6 | Canada | 8 |
| 7 | France | 7 |
| 8 | Italy | 5 |
| 9 | Sweden | 5 |
| 10 | Japan | 4 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | agent-based modeling | 7 |
| 2 | active travel | 6 |
| 3 | modal shift | 6 |
| 4 | mode choice | 6 |
| 5 | General Transit Feed Specification | 5 |
| 6 | Montreal | 4 |
| 7 | demand-responsive transport | 4 |
| 8 | transit ridership | 4 |
| 9 | 15-minute city | 3 |
| 10 | GTFS | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 160 | 1.5 | [Public transport trip purpose inference using smart card fare data](https://doi.org/10.1016/j.trc.2017.12.016) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 2018-01-09 | Azalden Alsger, Ahmad Tavassoli, Mahmoud Mesbah et al. |
| 2 | 102 | 1.5 | [Exploring the relationship between bike-sharing and public transport in Poznań, Poland](https://doi.org/10.1016/j.tra.2021.01.003) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 2021-02-03 | Adam Radzimski, Michał Dzięcielski |
| 3 | 79 | 3.0 | [GTC: GNN-Transformer co-contrastive learning for self-supervised heterogeneous graph representation](https://doi.org/10.1016/j.neunet.2024.106645) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2024-08-16 | Yundong Sun, Dongjie Zhu, Yansong Wang et al. |
| 4 | 67 | 2.7 | [Can ChatGPT be an author? Generative AI creative writing assistance and perceptions of authorship, creatorship, responsibility, and disclosure](https://doi.org/10.1007/s00146-024-02081-0) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 2024-09-27 | Paul Formosa, Sarah Bankins, Rita Matulionytė et al. |
| 5 | 64 | 0.7 | [A robust method for estimating transit passenger trajectories using automated data](https://doi.org/10.1016/j.trc.2018.08.006) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 2018-09-04 | Pramesh Kumar, Alireza Khani, Qing He |

## Used together with

Papers use GTFS transit feeds most often with OpenStreetMap (21), ImageNet (5) and American Community Survey (4); it has 7 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

*What papers use GTFS transit feeds together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [OpenStreetMap](https://scholar4ai.com/datasets/openstreetmap.md) | Dataset | 21 | 39.9 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 5 | 1.1 |
| [American Community Survey](https://scholar4ai.com/datasets/american-community-survey.md) | Dataset | 4 | 7.2 |
| [International Energy Agency (IEA)](https://scholar4ai.com/datasets/international-energy-agency-iea.md) | Dataset | 3 | 1.7 |
| [MS COCO](https://scholar4ai.com/datasets/ms-coco.md) | Dataset | 3 | 1.7 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 3 | 0.4 |
| [WITS / TRAINS tariff data](https://scholar4ai.com/datasets/wits-trains-tariff-data.md) | Dataset | 3 | 2.3 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning GTFS transit feeds in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-22 | [Evaluating transit accessibility to education and the effects of operational delays in Japanese regional cities: a case study of Matsumoto City](https://doi.org/10.1007/s12469-026-00431-3) | [Public Transport](https://scholar4ai.com/journals/public-transport.md) | Itsuki Sato, Kiyoshi Takami, Giancarlos Parady | The University of Tokyo |

## Cite this page

Scholar4AI. (2026). GTFS transit feeds. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/gtfs-transit-feeds

```bibtex
@misc{scholar4ai-datasets-gtfs-transit-feeds,
  author = {{Scholar4AI}},
  title = {GTFS transit feeds},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/gtfs-transit-feeds}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).