Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Mobility and location data

0 papers in the last 7 days · 2 of its 6 datasets mentioned

All dataset categories · Recent mention rankings

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

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Key findings#

  • Datasets in the category “Mobility and location data” were mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05). Rank: #47 of 59 data categories mentioned.
  • The most-mentioned were Google COVID-19 Community Mobility Reports (1) and GTFS transit feeds (1).
  • By journal category: Operations Research (2).
  • Most of them appeared in Public Transport (1) and Transportation Research Part C Emerging Technologies (1).

Dataset mention counts#

Datasets in this category · 2026-10-07 – 2026-11-05 (30 days)
DatasetPapersLast 7 daysNames searched for
Google COVID-19 Community Mobility Reports10Community Mobility Reports, Community Mobility Report, Google mobility data, Google Mobility Reports
GTFS transit feeds10General Transit Feed Specification, GTFS
Bike-sharing trip data00Citi Bike, bike-sharing data, bike sharing data, Divvy bike
Placer.ai and Advan foot traffic00Placer.ai, Advan Research, Advan foot traffic
SafeGraph00SafeGraph
Uber Movement00Uber Movement

Mentions over 36 months#

Papers mentioning each dataset by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
DatasetTrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
GTFS transit feeds23242471
Bike-sharing trip data1181332
Google COVID-19 Community Mobility Reports1310528
SafeGraph64414
Uber Movement3003
Placer.ai and Advan foot traffic1102
Papers mentioning these datasets, newest first.
DateTitleJournalAuthorsAffiliationsDatasets mentioned
2026-10-22Evaluating transit accessibility to education and the effects of operational delays in Japanese regional cities: a case study of Matsumoto CityPublic TransportItsuki Sato, Kiyoshi Takami, Giancarlos ParadyThe University of TokyoGTFS transit feeds
2026-10-12From traffic-flow capacity to recovery capacity: An episode-based framework for multi-sector urban resilienceTransportation Research Part C Emerging TechnologiesF. C. Tang, Xuesong Simon Zhou, Edward Zhu et al.Arizona State University; Johns Hopkins University; Institute of Industrial Science, The University of Tokyo; …Google COVID-19 Community Mobility Reports
Cite this page

Scholar4AI. (2026). Mobility and location data. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/mobility-and-location-data

@misc{scholar4ai-datasets-mobility-and-location-data,
  author = {{Scholar4AI}},
  title = {Mobility and location data},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/mobility-and-location-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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