Intermodal Freight Facilities Air-to-Truck

The Intermodal Freight Facilities Air-to-Truck dataset was compiled on January 15, 2019 and was updated on February 24, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is one of several layers in the BTS Intermodal Freight Facility Database. This layer includes air cargo facilities at the top 60 U.S. airports by tonnage in 2017, derived from BTS-aggregated airline traffic data by origin and destination data. To balance data utility, the methodology established a threshold capturing 92.3% of all domestic air freight while excluding lower-volume facilities. This geospatial layer only represents air-to-truck intermodal facilities that are permanent, physical structures where air cargo does not change form and is transloaded from an airplane to a truck and vice-a-versa on airport property only. It does not account for open-air tarmac, ramp, or apron areas utilized for staging, loading, or transferring freight, nor does it represent truck-to-truck warehouses off airport property. This layer is represented as a point layer, with facility locations being manually located in the center of a structure’s footprint. Users should be aware of additional decisions and assumptions made during the data collection process that impact the scope, quality, and completeness of the facilities ultimately included in the dataset. For instance, the methodology excluded United States Postal Service (USPS) mail facilities and included building square footage estimates that were based on manually-drawn polygons using Geographic Information System (GIS) software that estimated facility footprints. Attribute details such as primary facility operators were compiled using the best public information available at the time, in this instance sourced from Google Maps and Google Street View. Because air cargo environments evolve rapidly, users should be aware of the inherent complexities and dynamic nature of airport ground operations. Facilities may change primary operators, expand footprints, or shift operational leases, creating a fluid environment that makes attribute tracking challenging. This geospatial layer offers a representative inventory of intermodal facilities rather than a high-precision spatial survey. Per BTS guidance, center-point coordinates and estimated square footage serve as general spatial indicators and should not be relied upon to determine the exact boundaries or physical dimensions of individual cargo structures. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529031

Data and Resources

Field Value
dcat_issued 2024-07-10T03:04:28.000Z
dcat_modified 2026-09-18T22:07:41.373Z
dcat_publisher_name Bureau of Transportation Statistics (BTS)
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metadata_created 2026-09-22T19:36:28.594551
metadata_modified 2026-09-22T19:36:28.594557
notes The Intermodal Freight Facilities Air-to-Truck dataset was compiled on January 15, 2019 and was updated on February 24, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is one of several layers in the BTS Intermodal Freight Facility Database. This layer includes air cargo facilities at the top 60 U.S. airports by tonnage in 2017, derived from BTS-aggregated airline traffic data by origin and destination data. To balance data utility, the methodology established a threshold capturing 92.3% of all domestic air freight while excluding lower-volume facilities. This geospatial layer only represents air-to-truck intermodal facilities that are permanent, physical structures where air cargo does not change form and is transloaded from an airplane to a truck and vice-a-versa on airport property only. It does not account for open-air tarmac, ramp, or apron areas utilized for staging, loading, or transferring freight, nor does it represent truck-to-truck warehouses off airport property. This layer is represented as a point layer, with facility locations being manually located in the center of a structure’s footprint. Users should be aware of additional decisions and assumptions made during the data collection process that impact the scope, quality, and completeness of the facilities ultimately included in the dataset. For instance, the methodology excluded United States Postal Service (USPS) mail facilities and included building square footage estimates that were based on manually-drawn polygons using Geographic Information System (GIS) software that estimated facility footprints. Attribute details such as primary facility operators were compiled using the best public information available at the time, in this instance sourced from Google Maps and Google Street View. Because air cargo environments evolve rapidly, users should be aware of the inherent complexities and dynamic nature of airport ground operations. Facilities may change primary operators, expand footprints, or shift operational leases, creating a fluid environment that makes attribute tracking challenging. This geospatial layer offers a representative inventory of intermodal facilities rather than a high-precision spatial survey. Per BTS guidance, center-point coordinates and estimated square footage serve as general spatial indicators and should not be relied upon to determine the exact boundaries or physical dimensions of individual cargo structures. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529031
num_resources 28
num_tags 3
title Intermodal Freight Facilities Air-to-Truck
url https://ngda-portfolio-community-geoplatform.hub.arcgis.com/datasets/usdot::intermodal-freight-facilities-air-to-truck