The GTFS data folder contains the static General Transit Feed Specification (GTFS) datasets collected from the OpenMobilityData website (https://transitfeeds.com) and OpenStreetMap layouts collected from BBBike extract (https://extract.bbbike.org) for 22 cities. The OpenStreetMap layouts are in .pbf format. Each subfolder with the specified city name includes three GTFS datasets in .zip format for the pre-lockdown, lockdown and post-lockdown phase of the respective study area. These zipped GTFS folders contain separate .txt files on the transit agency names, routes, stops and station locations, daily operation and trips schedules, transfers and fare. The Study areas folder contains an ArcGIS shapefile in .shp format that outlines the geographic layout of each city used in this study. The shapefile also includes information on socio-economic and built environment attributes for the block groups located within each study area. These datasets were collected from American Community Survey (ACS) 5-year estimates (2014-2018) and the Environmental Protection Agency (EPA) Smart Location Database. The data folder includes a .csv file on urban sprawl data. The dataset contains county-level composite compactness indices collected from the National Cancer Institute (NCI). Finally, the data folder contains 12 .csv files on our processed datasets used for the multilevel binary logit models. The files are named and categorized by destination type, travel time threshold used in isochrones measures and transit operation time. Each row in these datasets represents a blockgroup within our study areas that either had access or lost access in the lockdown and post-lockdown phase, compared to the pre-lockdown phase. These files also contain socio-economic and built environment information for these block groups.