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).

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.

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).

Roads and Highways manages intersections, however they are not singular points; RH creates a series of points - one for each intersecting road at that intersection. For DDOT, it is more useful to have a single intersection point representing the intersection. Through a custom DDOT script,the series of intersection points is reduced into a single representative point.For more information please visit DDOT's wiki page

Intersection Approach Segments are short segments of the route that approach an intersection, in other words, a short section of the road leading up to an intersection.Roads and Highways manages intersections, however they are not singular points; RH creates a series of points - one for each intersecting road at that intersection. For DDOT, it is more useful to have a single intersection point representing the intersection. Through a custom DDOT script,the series of intersection points is reduced into a single representative point.For more information please visit DDOT's wiki page.

Signalized Intersections

DDOT is committed to making District streets safer for all roadway users while providing multimodal mobility and access for residents, visitors, and commercial users. A combination of traffic control devices and traffic calming measures can help meet both goals. DDOT has a full portfolio of proactive, data-based safety efforts, which can be reviewed at https://visionzero.dc.gov/pages/engineering. In addition, our Traffic Safety Input (TSI) program provides a mechanism for DDOT to hear from residents on roadway segments and intersections where users have safety concerns.

The District of Columbia government uses the Master Address Repository (MAR) to implement intelligent search functionality for finding and verifying addresses, place names, blocks and intersections.

Crosswalks Intersection

The Automated Safety Cameras (ASC) is a division of the District Department of Transportation (DDOT) that uses photo enforcement cameras as a traffic calming measure to enforce traffic laws, and to reduce violations on DC’s streets and most intersections. ATE is currently enforcing Posted Speed Limit (Speed), Stop Sign (Failure to come to a complete STOP), Red-Light (Running Red-Light), Bus Lane, Bus Zone, School Bus Stop-Arm, and Truck Restriction routes.This version of ASC data includes devices with no coordinates and because of that, the data is in table format. Data can be mapped using Lat/Lon or X/Y MD State Plane (Meters) but there will be records with null coordinate values.

Roadway SubBlocks - Right of Way Information. A single line, segmented at all intersections (alley and others), representing each street in the District. They follow the general trend of the street and do not deviate due to parking lanes, turning lanes, etc. and contain address ranges for geocoding. The street GIS database includes five different street road types: street centerline, alley, drive, ramp and service road. All DC GIS data is stored and exported in Maryland State Plane coordinates NAD 83 meters. This layer contains complete theoretical address ranges.

DC Atlas Pro is a mapping tool that contains hundreds of different data layers, organized by category. DC Atlas Pro is the updated version of DC Atlas Plus, both of which were created by OCTO GIS, as an easy way to view geographic information about the District of Columbia. This new and improved version of DC Atlas allows you to search for addresses, intersections, or place names; analyze and identify data; and create maps that you can share. For detailed instructions on how to use DC Atlas Pro, please visit the Get Help / How to Use This Map section of the application.

Create your own initiative by combining existing applications with a custom site. Use this initiative to form teams around a problem and invite your community to participate.

Unmarked Crosswalks Intersection

The Vision Zero data contained in this layer pertain to moving violations issued by the District of Columbia's Metropolitan Police Department (MPD) and partner agencies with the authority to do so. For example, the District Department of Transportation's (DDOT) traffic control officers who prevent congestion through enforcement and control at intersections throughout the District. Locations of moving violations are identified from a database provided by the District Department of Motor Vehicles (DMV).The data is summarized by ticket counts based on time of day, week of year, year, and category of violation. The summary form was created as a series of aggregated street segment data, in order to view spatial patterns on a weekly basis. This is a temporal crosstab of violation types (defined below) by week and time of day (ranges defined below).Users are able to query by week to get a DC-wide yearly and weekly perspective on over 40 different combinations of violations. Create interesting street segment heat maps which can get quite specific to identify patterns and answer questions. For example, where are the majority of Unsafe Operator moving violations in the AM Rush of 2014? These data will give up to 52 distinct street segments of information – one for each week of the year.Field Definitions:Identification Weeknumber – Week of Year, based on a Sunday start of the week StreetSeg – Street Segment ID, corresponds to the DDOT street centerline ‘StreetSegID’ field Registered Name – Street nameStreetType – Type of Street (Road, Ave, etc)Quad – DC Quadrant FromAddLeft – Unit number start (for approximating this segment’s block) ToAddLeft – Unit number end (for approximating this segment’s blockMovingLow Speeding (Under 20mph) - speed violations under 20mphHigh Speeding (above 20mph) - speed violations over 20 mph including reckless drivingUnsafe Driving -violations for driving maneuvers unsafe to traffic Unsafe Vehicle - violations for vehicle characteristics unsafe to traffic Unsafe Operator- violations for operator (driver) characteristics unsafe to trafficOther- miscellaneous violationsImportant Notes: Records which could not be associated to a street centerline segment (StreetSeg) were excluded from these summariesRecords which do not have a time of day associated with the violation were excluded from these summaries.

DC Atlas Plus is a mapping tool that contains hundreds of different data layers, organized by category. DC Atlas Plus is the updated version of DC Atlas, which was created by OCTO GIS, as an easy way to view geographic information about the District of Columbia. This new and improved version of DC Atlas allows you to search for addresses, intersections, or place names; analyze and identify data; and create maps that you can share. For detailed instructions on how to use DC Atlas Plus, please use the Guide, located on the Help menu.

Street Centerlines 2013. A single line, segmented at all intersections (alley and others), representing each street in the District. They follow the general trend of the street and do not deviate due to parking lanes, turning lanes, etc. and contain address ranges for geocoding. The street GIS database includes five different street road types: street centerline, alley, drive, ramp and service road. This layer contains complete theoretical address ranges.

Parking citation locations in the District of Columbia. The Vision Zero data contained in this layer pertain to parking violations issued by the District of Columbia's Metropolitan Police Department (MPD) and partner agencies with the authority. For example, the District Department of Transportation's (DDOT) traffic control officers write parking violations to prevent congestion through enforcement and control at intersections. Parking violation locations are summarized ticket counts based on time of day, week of year, year, and category of violation. Data was originally downloaded from the District Department of Motor Vehicle's eTIMS meter work order management system. Data was exported into DDOT’s SQL server, where the Office of the Chief Technology Officer (OCTO) geocoded citation data to the street segment level. Data was then visualized using the street segment centroid coordinates.

The dataset contains location and attributes of traffic controls located at each intersection in the District of Columbia. All traffic poles, pavement markings, traffic cabinets and cameras located within 10 meters of curb face intersections are collected. Poles must support traffic control devices in order to be collected. This includes traffic control signs, traffic signals, traffic arms and cameras. The data set does not include poles supporting only name plate signs and parking enforcement signs.

The dataset contains location and attributes of traffic controls located at each intersection in the District of Columbia. All traffic poles, pavement markings, traffic cabinets and cameras located within 10 meters of curb face intersections are collected. Poles must support traffic control devices in order to be collected. This includes traffic control signs, traffic signals, traffic arms and cameras. The data set does not include poles supporting only name plate signs and parking enforcement signs.