"Shifting Streets" COVID-19 Mobility Dataset


The Shifting Streets Dataset tracks immediate responses to changing demands on public space during the COVID-19 pandemic. It is intended as a reference for researchers, practitioners, and others interested in how cities have worked to address changes in travel demand and the need for social distancing.

Please visit the submission form to share information about COVID-19 mobility responses. Data entered via the submission form will be visible on the sheet below within one week and will be available for public use. If you would like to comment on any of the actions described here, or would like to assist in verification of the data, please email shiftingstreets@unc.edu.

If you have photographs you are willing to share that show these efforts in action, please consider submitting them to the Pedestrian and Bicycle Image Library.

The dataset is available for non-commercial use under a Creative Commons Attribution-ShareAlike 4.0 International License. Please see below for full credits and documentation and a link to the dataset in Google Sheets.

Please use proper attribution when using or linking to data contained within this dataset.
Suggested citation: Combs, T., Pardo, C.F., Streetplans, Epiandes, MobilityWorks, & Datasketch (2020). The "Shifting Streets" Covid-19 mobility dataset. Available from http://pedbikeinfo.org/resources/resources_details.cfm?id=5235.

Visit the Shifting Streets Google Sheet to download data.

These data come from Tabitha Combs' & PBIC's Walk/Bike/Social Distancing dataset, Streetplans' COVID19 Livable Streets Response Strategies, and COVID Mobility Works.

To view these data via Datasketch’s visualization platform, please visit https://datasketch.github.io/mobility-actions/.

In a new, open access journal paper, researchers Tab Combs and Carlos Pardo share preliminary observations of actions documented in the Shifting Streets Dataset, such as reallocation of traffic lanes, partial street closures, automation of walk signals, and other measures to accommodate walking and biking. The paper serves as a roadmap for others to use and build from the data. The paper also includes insights for transportation planning and policy, and for establishing an agenda for future research.
See: Combs, T. S., & Pardo, C. F. (2021). Shifting Streets COVID-19 Mobility Data: Findings from a global dataset and a research agenda for transport planning and policy. Transportation Research Interdisciplinary Perspectives, 9, 100322.

The majority of the actions recorded in the Shifting Streets database were drawn from the "Local actions to support walking and cycling during social distancing" dataset, created by Tabitha Combs and hosted by the University of North Carolina’s Pedestrian and Bicycle Information Center. These data were complemented by the "COVID-19 Livable Streets Response Strategies" dataset, created by Mike Lydon of Streetplans, and the COVID Mobility Works dataset. The data in the Shifting Streets database were merged, harmonized, and cleaned with the help of Henry Velandia, Diana Giraldo, Miguel Cuellar, Sebastián Vega, Carolina Fernandez, and Luke Morin and led by Carlos F Pardo and Tabitha Combs. Additional information was provided by EpiAndes, the Epidemiology group at Universidad de Los Andes, under the guidance of Olga Lucía Sarmiento Dueñas with support from Karen Lorena Fajardo Ardila, and Paola Andrea Martínez Bravo. The Shifting Streets database was built during July and August, 2020.

Creative Commons License
Creative Commons Attribution-ShareAlike 4.0 International License.

To learn about other efforts tracking community responses to COVID-19 and resource hubs for more information, see PBIC's list of COVID-19 Resources.

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