United States Department of Transportation
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Corporate Contributors:National Research Council (U.S.). Transportation Research Board ; United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Federal Motor Carrier Safety Administration ; National Research Council (U.S.). Transportation Research Board. National Cooperative Freight Research Program
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Abstract:Public sector freight planners depend on freight data to help identify freight transportation planning needs. Traditionally, their efforts relied on limited data sources such as vehicle counts, in/out gate information from ports, and weigh-in-motion data. The 21st Century brought a significant increase in the amount of freight data produced through the introduction of new logistics technologies and sensors and from the increased integration of supply chains. This robust data would significantly improve freight transportation planning efforts, but because of private sector proprietary concerns, much of this detailed freight data has not been made available to the public sector. This research, led by Cambridge Systematics under NCFRP Project 31, began with a review of past and current practice relative to data sharing, including a detailed examination of selected data sharing efforts both inside and outside the United States. The research process also included a workshop that brought together private industry, the public sector, and academic researchers to review and confirm barriers and motivators and identify best practices to overcome these barriers. Based upon this research, the team developed the guidebook. The guidebook is organized into four chapters, with the first chapter providing an introduction and overview. Chapter 2 describes the legal, resource, competition, institutional, and coordination barriers that discourage data sharing and presents motivators for overcoming these barriers. Chapter 3 provides guidelines for sharing freight data and addresses nonrestricted data, privacy concerns, data scrubbing, restricting access, facilitating stakeholder engagement, communicating the benefits of data sharing, and funding data sharing. Chapter 4 provides two case study examples where the guidelines were successfully applied. The guidebook also features helpful appendices that include sample nondisclosure agreements.
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