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Transportation Services Index and Seasonally-Adjusted Transportation Data
data.bts.gov | Last Updated 2024-09-12T15:00:24.000ZAbout Transportation Services Index The Transportation Services Index (TSI), created by the U.S. Department of Transportation (DOT), Bureau of Transportation Statistics (BTS), measures the movement of freight and passengers. The index, which is seasonally adjusted, combines available data on freight traffic, as well as passenger travel, that have been weighted to yield a monthly measure of transportation services output. For charts and discussion on the relationship of the TSI to the economy, see our Transportation as an Economic Indicator: Transportation Services Index page (https://data.bts.gov/stories/s/TET-indicator-1/9czv-tjte) For release schedule see: https://www.bts.gov/newsroom/transportation-services-index-release-schedule About seasonally-adjusted data Statisticians use the process of seasonal-adjustment to uncover trends in data. Monthly data, for instance, are influenced by the number of days and the number of weekends in a month as well as by the timing of holidays and seasonal activity. These influences make it difficult to see underlying changes in the data. Statisticians use seasonal adjustment to control for these influences. Controlling of seasonal influences allows measurement of real monthly changes; short and long term patterns of growth or decline; and turning points. Data for one month can be compared to data for any other month in the series and the data series can be ranked to find high and low points. Any observed differences are “real” differences; that is, they are differences brought about by changes in the data and not brought about by a change in the number of days or weekends in the month, the occurrence or non-occurrence of a holiday, or seasonal activity.
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Bikeshare (Docked and Dockless) and E-scooter Systems 2020 by Month and System Status
data.bts.gov | Last Updated 2024-08-21T20:00:49.000ZList of cities served by a bikeshare (docked or dockless) and/or e-scooter system by month in 2020. Some systems serve more than one city. The layer lists just the primary city served. Bikeshare includes systems that are open to the general public, IT-automated, and station based (contain hubs to which users can grab and return a bike) as well as dockless systems. The layer includes a count of the number of docking stations, the number of dockless bikeshare systems, and the number of e-scooter systems serving a city (if applicable) in each month and the status of the system - whether temporarily suspended or closed. Many systems temporarily suspended operations and/or closed permanently in response to COVID-19.
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Airports
data.bts.gov | Last Updated 2022-11-15T17:41:26.000ZThe Airports dataset includes all official and operational aerodromes as of July 16, 2020 and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of official operational aerodromes in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the aerodrome, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.
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Citizen Connect - County data (live)
data.bts.gov | Last Updated 2023-10-17T18:40:24.000ZThese are the county-centric transportation statistics currently contained in the dashboard visible at bts.gov/ctp. Data are available for all attributes for each year, 2015 to 2019. Data will soon be added for 2020 and 2021.
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General Aviation Fatalities
data.bts.gov | Last Updated 2023-01-20T17:57:04.000ZGeneral aviation fatalities include private aviation operations and excludes Federal Aviation Regulation (FAR) Part 121 (Air Carriers), 129 (Foreign), 135 (On-Demand), and Non-U.S./Commercial operations. The National Transportation Safety Board releases aviation fatality data in the Aviation Accident Database.
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Effects of COVID-19 on Bikeshare (Docked and Dockless) and E-scooter Operations
data.bts.gov | Last Updated 2024-09-30T15:56:10.047ZThe Bureau of Transportation Statistics' (BTS) interactive bikeshare and e-scooter map shows the effects of COVID-19 on bikeshare (docked and dockless) and e-scooter systems in from January to August 2020. Many systems temporarily suspended operations or delayed seasonal opening. Several systems closed due to budgetary issues and no longer serve the area.
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Docked Bikeshare Trips: Largest 6 Systems
data.bts.gov | Last Updated 2024-09-09T18:32:14.000ZThe Bureau of Transportation Statistics calculates this value using system data provided by CitiBike NY/JC (New York, NY and Jersey City, NJ), Capital Bikeshare (Washington, DC area), Divvy (Chicago, IL), Bay Wheels (San Francisco, CA), and Blue Bikes (Boston, MA area).
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Analytical Procedures for Determining the Impacts of Reliability Mitigation Strategies [supporting datasets]
data.bts.gov | Last Updated 2019-05-24T12:42:20.000ZThe objective of this project was to develop technical relationships between reliability improvement strategies and reliability performance metrics. This project defined reliability, explained the importance of travel time distributions for measuring reliability, and recommended specific reliability performance measures. The research reexamined the contribution of the various causes of nonrecurring congestion on urban freeway sections, however, some attention was also given to rural highways and urban arterials). Numerous actions that can potentially reduce nonrecurring congestion were identified with an indication of their relative importance. Models for predicting nonrecurring congestion were developed using three methods, all based on empirical procedures: The first involved before and after studies; the second was termed a 'data poor' approach and resulted in a parsimonious and easy-to-apply set of models; the third was entitled a 'data rich model' and used cross-section inputs including data on selected factors known to directly affect nonrecurring congestion. An important conclusion of the study is that actions to improve operations, reduce demand, and increase capacity all can improve travel time reliability. The 3 attached zip files contains comma separated value (.csv) files of data to support SHRP 2 report S2-L03-RR-1, Analytical procedures for determining the impacts of reliability mitigation strategies.Zip size is 1.83 MB. Files were accessed in Microsoft Excel 2016. Data will be preserved as is. To view publication see: https://rosap.ntl.bts.gov/view/dot/3605
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Citizen Connect - Congressional District data (live)
data.bts.gov | Last Updated 2023-10-17T18:59:18.000ZThese are the congressional district-specific transportation statistics currently contained in the dashboard visible at https://www.bts.dot.gov/congressionaldistricts. Data are available for all attributes for the 118th Congress (2023-2024).