Profile Picture Mindy Liu

created May 19 2020

updated Aug 2 2021

Description

How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our new mobility statistics.
The Trips by Distance data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day.
Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air.
The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed.
These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.

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Category
Research and Statistics
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Public
Tags
trip, trips, travel, mobility, distance, covid-19, county, counties, state, states
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SODA2 Only
Yes
Licensing and Attribution
Data Provided By
Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland
Source Link
https://mti.umd.edu/
License
Public Domain U.S. Government
Permanent Links
Resource Name
(none)
Row Identifier
Row ID
Common Core
Publisher
Bureau of Transportation Statistics
Contact Name
Mindy Liu
Contact Email
mindy.liu@dot.gov
Bureau Code
021:00
Program Code
021:052
Public Access Level
public
Geographic Coverage
U.S. counties
Temporal Applicability
2019/2020
Update Frequency
R/P1W
Language
en-US
License
http://www.usa.gov/publicdomain/label/1.0/
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