---
title: "Bike-sharing trip data: research papers using this data"
description: "From Nov 2023 to Oct 2026, 32 archived papers mentioned Bike-sharing trip data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2026 (4)."
url: https://scholar4ai.com/datasets/bike-sharing-trip-data
markdown_url: https://scholar4ai.com/datasets/bike-sharing-trip-data.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 32 archived papers mentioned Bike-sharing trip data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2026 (4). (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)
---

# Bike-sharing trip data

[Browse dataset profiles](https://scholar4ai.com/datasets/directory.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: Citi Bike, bike-sharing data, bike sharing data, Divvy bike

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, 32 archived papers mentioned Bike-sharing trip data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2026 (4).
- No paper of the tracked journals mentioned Bike-sharing trip data in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), Bike-sharing trip data was mentioned in 41 papers in the tracked journals, most of them in operations research (28), statistics (5) and economics (4).
- 11 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were New York University (2), The Hong Kong University of Science and Technology (Guangzhou) (2) and University College Dublin (2).
- The journals publishing most of them were Transportation (7), Transportation Research Part A Policy and Practice (5) and Transportation Research Part C Emerging Technologies (3).
- The most-cited of them is “A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 572 citations.

## 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 |
|---|---:|---:|---:|---:|
|  | 11 | 8 | 13 | 32 |

## 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 | 1 | 1 | 0 | 1 | 3 | 5 | 7 | 7 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 0 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 3 | 1 | 1 | 2 | 1 | 3 | 10 | 11 | 9 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Transportation](https://scholar4ai.com/journals/transportation.md) | 7 |
| 2 | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 5 |
| 3 | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 3 |
| 4 | [Transportation Research Part E Logistics and Transportation Review](https://scholar4ai.com/journals/transportation-research-part-e-logistics-and-transportation-review.md) | 3 |
| 5 | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2 |
| 6 | [Omega](https://scholar4ai.com/journals/omega.md) | 2 |
| 7 | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 2 |
| 8 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 1 |
| 9 | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | 1 |
| 10 | [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [New York University](https://scholar4ai.com/institutions/new-york-university.md) | 2 |
| 2 | The Hong Kong University of Science and Technology (Guangzhou) | 2 |
| 3 | [University College Dublin](https://scholar4ai.com/institutions/university-college-dublin.md) | 2 |
| 4 | [University of Cambridge](https://scholar4ai.com/institutions/university-of-cambridge.md) | 2 |
| 5 | [University of Hong Kong](https://scholar4ai.com/institutions/university-of-hong-kong.md) | 2 |
| 6 | [University of Liverpool](https://scholar4ai.com/institutions/university-of-liverpool.md) | 2 |
| 7 | Argonne National Laboratory | 1 |
| 8 | Bryant University | 1 |
| 9 | Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport | 1 |
| 10 | Changzhou University | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 10 |
| 2 | United Kingdom | 9 |
| 3 | United States | 7 |
| 4 | Germany | 5 |
| 5 | Hong Kong | 4 |
| 6 | Australia | 2 |
| 7 | Switzerland | 2 |
| 8 | Ireland | 2 |
| 9 | Italy | 2 |
| 10 | Japan | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | bike sharing | 11 |
| 2 | Citi Bike | 8 |
| 3 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 3 |
| 4 | New York City | 3 |
| 5 | count data | 3 |
| 6 | sustainable transport | 3 |
| 7 | Boston | 2 |
| 8 | bicycle sharing systems | 2 |
| 9 | cycling infrastructure | 2 |
| 10 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 572 | 21.4 | [A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection](https://doi.org/10.1109/tpami.2024.3443141) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-14 | Ming Jin, Huan Yee Koh, Qingsong Wen et al. |
| 2 | 436 | 4.5 | [Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach](https://doi.org/10.1016/j.trc.2018.10.011) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 2018-11-05 | Lei Lin, Zhengbing He, Srinivas Peeta |
| 3 | 185 | 1.8 | [Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share](https://doi.org/10.1016/j.tra.2018.06.001) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 2018-06-14 | Kailai Wang, Gulsah Akar, Yu-Jen Chen |
| 4 | 171 | 2.6 | [Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City](https://doi.org/10.1016/j.tranpol.2021.04.004) | [Transport Policy](https://scholar4ai.com/journals/transport-policy.md) | 2021-04-15 | Haoyun Wang, Robert B. Noland |
| 5 | 58 | 1.3 | [Multi-task supply-demand prediction and reliability analysis for docked bike-sharing systems via transformer-encoder-based neural processes](https://doi.org/10.1016/j.trc.2023.104015) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 2023-01-13 | Meng Xu, Yining Di, Hai Yang et al. |

## Cite this page

Scholar4AI. (2026). Bike-sharing trip data. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/bike-sharing-trip-data

```bibtex
@misc{scholar4ai-datasets-bike-sharing-trip-data,
  author = {{Scholar4AI}},
  title = {Bike-sharing trip data},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/bike-sharing-trip-data}},
  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/).