United States Department of Transportation
i
Travel Impacts of a Complete Street Project in a Mixed Urban Corridor [Supporting Dataset]
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2020-12-01
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Alternative Title:Allegheny County Crash Data
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Abstract:Complete streets facilitate multi-modal travel through human-centric infrastructure design with goals of improving safety and accessibility for all potential travelers. Examples include designing corridors with wide sidewalks, lighting, street furniture, adding bike lanes, improving transit shelters and turnouts, among others. This study evaluates the travel impacts resulting from a complete street redesign project through an urban corridor in Pittsburgh, Pennsylvania. The retrofit project involved reducing vehicle lanes from four (two lanes in each direction) to three (one lane in each direction with a center turn lane) and adding dedicated bike lanes in each direction. The project also included new traffic signals, one new pedestrian crossing, reconfiguration and relocation of several intersections, improved bus turnouts, new pavement, and new street furniture. Before-and-after travel impacts (traffic counts and speeds, transit ridership, bicycle counts, air quality, and crash counts) were evaluated to quantify total benefits resulting from the retrofit project. The total size of the described csv file is 4.30 MB. The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. Any text editor or spreadsheet program will open .csv files.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT's Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2022-11-11. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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