United States Department of Transportation
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Street Noise Relationship to Bicycling Road User Safety [supporting dataset]
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2018-12-05
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Abstract:This dataset includes noise level readings in dB(A) and associated global positioning and time data in JSON (JavaScript Object Notation) format, which is an open standard for human-readable text. The dataset was gathered in Spring, 2018 in two regions: Austin (TX), and the Washington (DC) Capital Area, for a research project called “Street Noise Relationship to Vulnerable Road User Safety”. Researchers collected the noise data via the Noisetube app on Samsung Galaxy S5 smartphones, mounted on bicycle handlebars, along prescribed routes in each region. The study addressed two research questions: (1) What is the relationship between street-level noise and crash rates for bicyclists? (2) What street and land use variables are associated with high and low street-level noise rates?
Data Scope: The zipped archive contains two zipped JSON files, including a total of 113254 noise measurements in dB(A).
Data Specification:
dataset_lat – latitude represented in decimal degrees, using the World Geodetic System 1984 (WGS84) datum.
dataset_lng - longitude represented in decimal degrees, using the World Geodetic System 1984 (WGS84) datum.
dataset_date – date and time of observation in the format of YYYY-MM-DD HH:MM:SS
dataset_id – unique integer for each observation
The total size of the described zip file is 1.82MB. The ZIP file for this dataset contains files with the following files extensions: The JSON and text files can be viewed using any text viewing software, such as notepad.
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Content Notes: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 https://dataverse.vtti.vt.edu/dataset.xhtml?persistentId=doi:10.15787/VTT1/5LWJTV on 2022-09-29. 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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