United States Department of Transportation
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Privacy Risk Evaluation of Human Mobility Data for Urban Transportation Planning [Supporting Dataset]
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2022-11-30
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Alternative Title:Puget Sound Regional Household Travel Survey - Trips
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Edition:Final Report 2019 - 2021
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Abstract:This project examined the variations in re-identification risks of mobility trace data in different urban areas, characterized by residential population density, percentage of residential land use, and per capita income, and in different population segments, characterized by race, gender, and household income. The project used the 2017 Puget Sound Regional Travel Survey and estimated the uniqueness of the trip origins and destinations by using the method of k-anonymity. This project found that 42 percent of travelers could be re-identified by one trip origin or destination point aggregated at the census block group level and the one-hour time interval. This confirmed previous findings that mobility traces are highly unique. This project further estimated the associations between the built environment and sociodemographic variables and the k-values that measure the uniqueness of mobility traces in a data set. The results showed that trips to or from census block groups with a lower per capita income, higher residential population density, or higher percentage of residential land use were more likely to have a higher level of re-identifiability. Similarly, travelers whose mobility traces were more unique than others tended to have higher percentages of male, non-white, and lower income populations. The findings help to optimize the algorithmic solution to minimize the privacy risks and detect and mitigate algorithmic biases in current data practices.
The total size of the described file is 118.3 MB. 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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