Capital Bikeshare Locations

Safe, secure, and abundant bicycle parking is necessary to support the District’s growing number of people using bikes for transportation, commuting, and recreation. Providing sufficient bicycle parking is part of DDOT's strategy to promote bicycling in the District of Columbia and reduces the number of bikes locked to trees, benches, and railings.

This dataset includes all block faces with parking in Washington, DC according to their digital curb identification number. Attributes include block address with side of street, resident permit parking zone, payment zones, rush hour restrictions, some revenue and generalized curbside policy.

The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.

Parking zones created from collected sign data throughout Washington DC. Parking Zones are created between two parking restriction signs of the same type that point at each other, or between a sign and an intersection.

The dataset contains locations and attributes of above ground permits applied for and approved by the District Department of Transportation. They are newly occupied constructions and events. Examples include: moving truck, roll off debris container, moving storage container, construction staging area, mobile crane work zone, other reserved parking. The public space permit process is described on the DDOT website https://ddot.dc.gov. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC. Use the MAR Geocoderto help complete this.

This data set contains data related to the following information of a business entity: business name, model type, locale, initial file number, status, name, and address. More information can be found at https://dlcp.dc.gov/page/corporations.