This dataset shows the bridges owned by Allegheny County. Department: Public Works

The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny...

Authoritative dataset of the beltway system in Allegheny County. The system was developed to help motorists navigate through Allegheny County on low-traffic roads. The belts are arranged in concentric circles and color-coded red, orange, yellow, green, blue, and purple. If viewing this description on the Western...

This dataset shows the roads owned by Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full...

This parking-meters dataset used to mirror the dataset located at https://pghgishub-pittsburghpa.opendata.arcgis.com/datasets/e9f766897c9148a4951696f27f13820a_0/explore but has been updated to mirror a more current dataset located at https://pghgishub-...

PPA Meter Areas

PGH Residential Permit Parking Program

Pittsburgh Department of Public Works Adminstrative Divisions

All transit stops within the Pittsburgh Regional Transit's service area for the current schedule period. The data files in this dataset are pulled from the current stops dataset on the PRT's data portal on a weekly basis. Note: historical stops from February 2023/present are available at: https://open-data-pgh-...

Shapefiles of Pittsburgh Regional Transit routes. Routes change over time. The 4-digit code corresponds to the "pick" or schedule period of that route; for example, the schedule period beginning in September 2019 is known as the 1909 pick. The data files in this dataset are pulled from the current routes dataset on...

Speed humps installed by the City of Pittsburgh to slow down traffic NOTE: The data in this dataset has not updated since 2021 because of a broken data feed. We're working to fix it.

This traffic-count data is provided by the City of Pittsburgh's Department of Mobility & Infrastructure (DOMI). Counters were deployed as part of traffic studies, including intersection studies, and studies covering where or whether to install speed humps. In some cases, data may have been collected by the...

This dataset contains street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road, Secondary Road, Unpaved Road, Limited Access Road, Connecting Road, Jeep Trail, Walkway, Stairway, Alleyway and Unknown. A Primary Road is a street paved with either...

Files include data for bike lanes, protected bike lanes, trails, bike routes, shared lane markings, cautionary bike routes, and bridge data from the BikePGH Pittsburgh Bike Map. BikePGH developed this map in 2007 and has been publishing it both on paper and online ever since. See: http://bikepgh.org/maps for more info.

This dataset was previously obtained and regularly updated from this URL on Allegheny County's GIS server. It is no longer a listed dataset, so we have stopped updating it. This dataset shows the location of bridges owned by Allegheny County as centroids.

Pittsburgh Parking Reduction Zoning Overlay

A mile by mile breakdown of the on-street bicycle pavement markings installed within the City of Pittsburgh. These include bike lanes, shared lane markings (sharrows), and protected bike lanes.

Pittsburgh Neighborhoods

Snow Plow GPS readings during declared City of Pittsburgh Snow Events. Includes readings on plow (up or down) and salt spreader speed. Please note: The system tracking snow plows was not fully deployed for the 2018-2019 or 2019-2020 seasons. Therefore readings from these events may not include all the vehicles or...

Snow Plow data from the the City of Pittsburgh's Snow Plow Tracker. These data are collected from the Snow Plow Tracker's Fusion Table and converted to geoJSON. Each file is named using the timestamp representation of the date and time the corresponding 'Snow Event' started.