The DC Main Streets commercial corridors were created for Department of Small and Local Business Development. The GIS layer represents the locations of neighborhood commercial districts comprised of specific streets designated by DSLBD as "Main Streets." DC Main Streets is a program through which the District government works with neighborhood organizations to revitalize the District's neighborhood business districts through a comprehensive and systemic strategy for business retention and attraction, commercial property improvements, and provision of coordinated corridor-wide services.

Along with traditional bicycle racks, DDOT is installing on-street parking corrals across all eight wards of the District to accommodate the parking need for shared bikes and scooters. These areas are primarily on-street and provide a designated area where both shared dockless scooters and bikes and private scooter and bikes can be stored safely.

District of Columbia quadrants. The dataset contains locations and attributes of the District of Columbia quadrants, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies.The DCQuadPly was updated in January 2022 in the three following areas: 1) South Capitol Street has had major changes in its _location due to the Frederick Douglass Bridge Project. These changes include the actual South Capitol Street Bridge and the adjacent new ovals to the north and south. The new quadrant boundary generally runs along the median of South Capitol Street. There is a small triangular area that is south of the north oval and also west of the South Capitol Street bridge which is in fact part of the Southeast quadrant. 2) boundary was redrawn around 1 HAWAII AVENUE NE so that the address is located in the NE quadrant. 3) Small adjustment of the boundary by Kansas Avenue NW.

Roads captured in 1999. Contract NCPC 93-02. This document describes the planimetric map production for the 350 tiles located in Washington DC and the surrounding states of MD and VA.

The dataset contains locations and attributes of Street Vendor Zones where street vendor permits can be issued.

DDOT's Urban Forestry Division (UFD) manages ~180,000 public trees and this data set shows annual changes in species composition and tree health from 2014 to present. Visit trees.dc.gov for more information.

Street right of way polygons are public spaces along the DC managed street segments. A database provided by DDOT identified ROW locations from authoritative source documentation including DDOT surface maps, ROW distribution cards, Subdivision Books in the DC Surveyor's Office, Survey Books, King Plats, Record Books, Street Extension Maps, County Maps, AT Map Books, Wall Books and Wall Reports.

DC Main Streets is a program through which the District government works with neighborhood organizations to revitalize the District's neighborhood business districts through a comprehensive and systemic strategy for business retention and attraction, commercial property improvements, and provision of coordinated corridor-wide services.Each year Main Street programs have at least $30,000 of funds to provide sub-grants and technical assistance to businesses in their corridor. These funds can be used for a variety of activities including direct cash assistance, signage and storefront improvements, interior renovations, social media marketing, accounting support, lease negotiations, etc.

This dataset contains lines representing locations of Snow Emergency Roads for the DC Region.

Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).

The fall leaf collection program runs from the first week of November through the second week of January. This data highlights road ways where the Department of Public Works (DPW) will collect leaves at least twice by “vacuuming” loose leaves residents rake into their treebox(es). Loose leaves will be sent for composting. In neighborhoods with alley trash/recycling collections, bagged leaves may be placed where trash and recycling are collected.

DDOT and agency partners shares responsibility for the safe, efficient, and effective management of vending in public space throughout the District. DDOT coordinates and maintains vending regulations to ensure that they are responsive to the goals of creating lively and animated neighborhood streets, but also adequately protect public safety and movement.

Service road centerlines captured in 1999. Contract NCPC 93-02. This document describes the planimetric map production for the 350 tiles located in Washington DC and the surrounding states of MD and VA.

The dataset contains locations and attributes of intersections created as part of the Master Address Repository (MAR) for the Office of the Chief Technology Officer (OCTO) and participating DC government agencies. The intersection points - MAR is primarily derived from DC Department of Transportation's (DDOT) intersection table in their Street Spatial Database (SSD). Regular at-grade intersections (TYPE = 'REGULAR') as well as overpasses (TYPE = 'OVERPASS'), underpasses (TYPE = 'UNDERPASS') and ramps (TYPE = 'RAMP') are included. The overpasses, underpasses, and ramps are based on street centerlines from DDOT. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc. The data dictionary is available: https://opendata.dc.gov/documents/2a4b3d59aade43188b6d18e3811f4fd3/explore. In the MAR 2, the IntersectionPt is called INTERSECTIONS_PT and is primarily based off of street data from DC Department of Transportation's Roads & Highways database. It also features additional useful information such as created date, last edited date, begin date, and more.

The Residential Permit Parking (RPP) Blocks data support the RPP program which limits residential parking to residents living on designated blocks. This dataset is derived from the District Department of Transportation (DDOT) roadway block (centerline) dataset. Residents can learn more about the RPP program at https://www.parkdc.com, including guidelines for eligibility to receive a permit and instructions on how to petition for an RPP block.This map displays blocks that are part of the RPP program. This map does not necessarily display areas with available RPP parking.RPP Permits and Visitor Parking Permits (VPPs) allow parking at green and red RPP zone signs. Please review and follow on-street signage and parking regulations to avoid receiving a citation.

This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

L'Enfant Plan of Washington. The dataset contains polygons representing the L'Enfant Plan historic district, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. This district was identified from public records, including published maps and the National Register nomination form. It was created by buffering along the planimetric street centerline at specified distances, as referenced in the 1803 King Plats, ranging from 70 to 160 feet.

This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a _location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a _location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).