United States Department of Transportation
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Enabling a New Data Science for Urban Accessibility for All [Supporting Dataset]
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2023-02-01
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Alternative Title:Project Sidewalk Crowdsourced Sidewalk Assessments in 12 Cities Across Four Countries
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Edition:Final Report
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Abstract:We are developing new data collection approaches that use a combination of remote crowdsourcing, machine learning, and online map imagery. Our newest effort, called Project Sidewalk, enables online crowdworkers to remotely label pedestrian-related accessibility problems by virtually walking through city streets in Google Street View. Aided, in part, by PacTrans funding, we have now deployed Project Sidewalk into ten cities across the world. Overall, 11,000 users have contributed over 720,000 labels and 400,000 validations. To our knowledge, this is the largest, most granular open dataset on sidewalk accessibility in existence. This unprecedented dataset enables new types of urban accessibility analyses not previously possible, which is the focus of our work and our report. Specifically, we report on the (1) expansion of Project Sidewalk into three additional cities, including La Piedad, Mexico, Oradell, New Jersey, and Amsterdam, The Netherlands; (2) an initial correlative analysis of how sidewalk accessibility/condition corresponds to socioeconomic factors; and (3) tool development and an initial study of combining Crowd+AI techniques to study how sidewalk accessibility is changing over time in cities.
The total size of the described file is 116 MB. JSON files are files used to store and share data objects and can be opened using any text reader software such as Notepad. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs.
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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 2023-07-27. 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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