Anonymized and aggregated mobility data based on smartphone movements provided by PlaceIQ. Available from 2020-present, updated weekly. The data provides a variety of exposure measures across and within states, counties, and CBSA’s.
Data provided by Victor Couture, Jonathan I. Dingel, Allison Green, Jessie Handbury and Kevin R. Williams.
As used in: Couture, Victor, Jonathan I. Dingel, Allison Green, Jessie Handbury, and Kevin R. Williams. “Measuring movement and social contact with smartphone data: a real-time application to COVID-19.” Journal of Urban Economics, 2021.
Mobility indices tracking movement patterns for a myriad of countries, and regions within countries. For example, in the United States, mobility is broken down by country, state and county. The indices make distinctions between trips for retail and recreation, grocery and pharmacy, parks, transit stations, workplaces and residences. Available from February, 2020 – present.
Weekly data on cell phone trips between December 31st, 2018 – present, tracking the number of visitors to a point of interest (POI) in a given week. Each POI observation also includes information on visitors’ home census blockgroup.
As used in: Glaeser, Edward L., Caitlin S. Gorback and Stephen J. Redding. “JUE Insight: How much does COVID-19 increase with mobility? Evidence from New York and four other U.S. cities.” Journal of Urban Economics, 2020.
4. Speed and Congestion in U.S. Cities
Data provided by Prottoy A. Akbar, Victor Couture, Gilles Duranton and Adam Storeygard
As used in: Prottoy A. Akbar, Victor Couture, Gilles Duranton and Adam Storeygard (2023) “Mobility and Congestion in Urban India,” American Economic Review, 113(4): 1083-1111.
Supported by
the US Department of Transportation through an interagency agreement with the National Science Foundation grants #1559013 and #2315269