United States Department of Transportation
i
Guidance for Developing a Freight Transportation Data Architecture
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2011-01-01
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[PDF-4.20 MB]
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Corporate Contributors:National Research Council (U.S.). Transportation Research Board ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Motor Carrier Safety Administration ; National Research Council (U.S.). Transportation Research Board. National Cooperative Freight Research Program
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Abstract:Public and private decisionmakers must understand the freight transportation system, its
use, its role in economic development, its environmental impact, as well as other consequences in order to respond effectively to growing logistical requirements for businesses and households. This understanding draws on many disparate data sources covering commodity movements, relationships among sectors of the economy, international trade, freight traffic, supply chains, and transportation services and infrastructure. These data sources are difficult to link into useful information because they are collected under various definitions and time scales, geographic levels, and aspects of transportation. Efforts to bridge these differences with analytical techniques or new data collections tend to be ad hoc or cover only part of the freight transportation universe. Several studies and conferences by TRB have called for a national freight data architecture to link existing data sets and guide new data collections. However, none of these calls defined what is meant by data architecture or how it would be designed and implemented.
Under NCFRP Project 12, the Texas Transportation Institute was asked to (1) review systems, databases, and architectures that might be used as a potential reference for the development of a national freight data architecture; (2) develop a formal definition for a national freight data architecture; (3) identify high-level categories of data architecture components; (4) identify potential implementation approaches; (5) develop a list of specifications for the freight data architecture; and (6) identify challenges and strategies related to the implementation of a national freight data architecture.
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