This list of datasets and resources can help teams understand what data is already available and where there are gaps, as well as what resources can help them to learn more about complete streets and related concepts in planning and design.
Data
The datasets listed here are all publicly available datasets from federal agencies, with national coverage. They are a recommended starting place for offerers to consider as they build out their data plans. We encourage teams to focus on generating or enhancing data in areas where no dataset currently exists, or where existing data is known to have gaps or shortcomings.
This data will need to be generated or enhanced. The following datasets identify the locations of roads and related infrastructure that can be useful in building data layers, but they do not contain details such as lane markings, shoulder width or intersection formats.
This data will need to be generated. The datasets listed under Roadway features can be useful in using computer vision or other techniques to generate this data.
This data will need to be generated. The datasets listed under Roadway features can be useful in generating this data. In addition, the Bureau of Transportation Statistics is facilitating a working group on Geospatial Bike, Pedestrian and Accessibility Infrastructure Data, focused largely on standards development and data sharing, that can be followed on Github.
This data will need to be generated or enhanced. GTFS Static data provided through the National Transit Map contains a field to identify whether wheelchair boarding is possible at stops and stations, and whether transit vehicles that are typically used for a trip are able to accommodate riders in wheelchairs. However, local transit agencies don’t always populate these fields, so the data can be inconsistent. The datasets listed under Transit stops and routes, including the National Transit Map, can be useful in generating this data. In addition, the Bureau of Transportation Statistics’ working group on Geospatial Bike, Pedestrian and Accessibility Infrastructure Data, linked under Sidewalks, crosswalks, driveways, curb ramps, medians, refuges, curb extensions and Bicycle facilities and facility type, can be followed on Github.
This data will need to be generated or enhanced. The datasets listed under Roadway features can be useful in generating this data. In addition, the Bureau of Transportation Statistics is facilitating a working group on Geospatial Bike, Pedestrian and Accessibility Infrastructure Data, focused largely on standards development and data sharing, that can be followed on Github.
This data will need to be generated. The datasets listed under Roadway features can be useful in using computer vision or other techniques to generate this data.
This data will need to be generated. The datasets listed under Roadway features can be useful in generating this data. In addition, the Bureau of Transportation Statistics’ working group on Geospatial Bike, Pedestrian and Accessibility Infrastructure Data, linked under Sidewalks, crosswalks, driveways, curb ramps, medians, refuges, curb extensions and Bicycle facilities and facility type, can be followed on Github.
This data will need to be generated. The datasets listed under Roadway features can be useful in generating this data. In addition, the Bureau of Transportation Statistics’ working group on Geospatial Bike, Pedestrian and Accessibility Infrastructure Data, linked under Sidewalks, crosswalks, driveways, curb ramps, medians, refuges, curb extensions and Bicycle facilities and facility type, can be followed on Github.
This data will need to be generated. The datasets listed under Roadway features can be useful in using computer vision or other techniques to generate this data.
This data will need to be generated or enhanced. The Environmental Protection Agency’s EnviroAtlas can help with identifying parks and some other types of open spaces.
This data is sufficiently complete and ready to use as is. All transit agencies within the United States are required to provide GTFS Static feeds to the National Transit Map by fall of 2024, and the majority were already reporting by January of 2024. Some transit agencies have other GTFS feed types available (Realtime, Flex), but this data is not available in a national dataset.
This data is sufficiently complete and ready to use as is.
This data will need to be enhanced. The datasets listed here typically cover highways and larger roads, but their coverage of local roads is limited or lacking.
This data will need to be generated. The data listed here may be useful in generating data.
This data will need to be generated or enhanced. FARS provides data on fatal injuries from crashes. Some states report non-fatal injuries from crashes, but at this time there is no national dataset. Injury severity may be possible to construct from medical and / or emergency response data.
This data will need to be generated. The data listed here provide a level of insights into bicycle and pedestrian travel trends, but none of these datasets provide local-level trip counts.
This data will need to be generated. The data listed here may be useful for understanding larger trends but isn’t fully complete or sufficiently granular on its own.
This data is sufficiently complete and ready to use as is.
National Highway Traffic Safety Administration, Fatality Analysis Reporting System (FARS)This data will need to be generated or enhanced. The datasets listed here may be helpful in generating data, but their granularity does not go down to the street level.
This data will need to be generated. The datasets in the sections on Land use (residential, commercial, mixed-use) and Key destinations (healthcare, academic, civic, employment, retail-commercial, recreation) may have some utility.
This data will need to be generated. The datasets listed here may help to build out some parts of a land use definition.
This data is sufficiently complete and ready to use as is.
This data is sufficiently complete and ready to use as is.
This data is sufficiently complete and ready to use as is.
This data is sufficiently complete and ready to use as is.
This data is sufficiently complete and ready to use as is.
This data is sufficiently complete and ready to use as is.
This data is sufficiently complete and ready to use as is.
This data is sufficiently complete and ready to use as is.
This data is sufficiently complete and ready to use as is.
Resources
All questions on the pre-solicitation and solicitation should be directed to the DOT SBIR Program at dotsbir@dot.gov.
For other questions, you can reach the CSAI team at csai@dot.gov.
