Bike-sharing trip data

data category: Mobility and location data · 0 papers in the last 7 days

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

Names searched for: Citi Bike, bike-sharing data, bike sharing data, Divvy bike

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#

20172026 (so far)

Papers per publication year and category
Category	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
Operations Research	3	1	1	0	1	3	5	7	7
Statistics	0	0	0	0	0	0	0	3	2
Economics	0	0	0	2	0	0	2	0	0
AI	0	0	0	0	0	0	2	1	0
Management	0	0	0	0	0	0	1	0	0
All categories	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	7
2	Transportation Research Part A Policy and Practice	5
3	Transportation Research Part C Emerging Technologies	3
4	Transportation Research Part E Logistics and Transportation Review	3
5	Computational Statistics & Data Analysis	2
6	Omega	2
7	Computational Statistics	2
8	IEEE Transactions on Pattern Analysis and Machine Intelligence	1
9	Journal of Business Ethics	1
10	International Journal of Forecasting	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	New York University	2
2	The Hong Kong University of Science and Technology (Guangzhou)	2
3	University College Dublin	2
4	University of Cambridge	2
5	University of Hong Kong	2
6	University of Liverpool	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	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	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	IEEE Transactions on Pattern Analysis and Machine Intelligence	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	Transportation Research Part C Emerging Technologies	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	Transportation Research Part A Policy and Practice	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	Transport Policy	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	Transportation Research Part C Emerging Technologies	2023-01-13	Meng Xu, Yining Di, Hai Yang et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

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

@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}
}

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