United States Department of Transportation
i
BTS Daily Travel Metrics, Trips By Distance: Methodology and Validation
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2022-01-30
[PDF-2.26 MB]
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Abstract:This report assesses the quality of the University of Maryland daily mobility data submitted to the Bureau of Transportation Statistics (BTS). The team first assesses the penetration rate across the nation and different socio-demographic groups. Twenty-four specific data quality metrics are developed to comprehensively summarize the quality of the data. Then, methods used for producing the daily mobility data are documented in detail. For the key parameters employed in identifying trips, sensitivity analyses have been conducted to assess the ranges of estimated number of trips as well as its long-distance portion. The results are found most sensitive to the time threshold for defining trip ends/stops. In addition, the sensitivity analyses are extended from unweighted to weighted results and have found that long-distance trip ratio decreases after the weighting procedure. Finally, the suitability of using the data for absolute estimates and for estimates of change over time is evaluated via comparisons with three external datasets. Based on these results, the team recommends making improvements on 1) device-level weights based on imputed socio-demographic groups; 2) trip-level adjustment factors based on imputed travel modes, time-of-day information and/or purposes. Based on this additional information, detailed data cross-tabulation and calibration/validation can be performed to ensure and enhance data quality.
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