Owen, AndrewMurphy, Brendan2021-01-292021-01-292021-01-29https://hdl.handle.net/11299/218194Downloads are available for individual metropolitan regions, as well as states, in open-source Geopackage format. Each ZIP file for a region or area contains four individual Geopackage files -- one for each of the four Level of Traffic Stress (LTS) categories used in the study (1, 2, 3, 4). LTS 1 represents streets and fully protected bikeways that present the least stress to bike on; LTS 2 represents on-street facilities and biking in slow, minimal mixed traffic conditions; LTS 3 represents unprotected on-street bike lanes and more moderate mixed traffic conditions; and LTS 4 represents the most stressful streets to bike on, with no facilities and high traffic levels. More details and information are available in the journal article published here: https://journals.sagepub.com/doi/abs/10.1177/0361198119837179These data were created as part of a study that examined the accessibility to jobs by bicycling in the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by biking, and incorporates a Level of Traffic Stress analysis to allow calculation of access to jobs on bike networks of different traffic stress tolerances. This dataset allows for a direct comparison of the biking accessibility performance of America's largest metropolitan areas. These data are part of a longitudinal study. Access Across America: Bike 2017 data are available at https://conservancy.umn.edu/handle/11299/211418, however the 2017 version of this dataset was produced without implementation of Level of Traffic Stress analysis, and the methodologies differ substantially.Attribution 3.0 United StatesAccessibilityAccessibility ObservatorySpatial DataHeat MapNetworksConnectivityTransportationBicycleBikingLevel of Traffic StressDatasethttps://doi.org/10.13020/mdpv-ec74