原文传递 Integrating Public and Private Data Sources for Freight Transportation Planning
题名: Integrating Public and Private Data Sources for Freight Transportation Planning
作者: Seedah, D.; Cruz-Ross, A.; Sankaran, B.; La Fountain, P.; Agarwal, P.; Kim, H.; Cebelak, M.; Overmyer, S.; Prozzi, J.; O'Brien, W. J.; Walton, C. M.
关键词: Freight transportation##Travel patterns##Route preferences##Logistics##Modeling##Urban transportation##Transportation planning##Routes##Information systems##Multimodal freight##Transportation networks##Methodology##Travel behavior##Freight data##Data integration##Private sector data##
摘要: The Moving Ahead for Progress in the 21st Century Act (MAP-21) stipulates that state transportation agencies expand their interest in freight initiatives and modeling to support planning efforts, particularly the evaluation of current and future freight transportation capacity necessary to ensure freight mobility. However, the understanding of freight demand and the evaluation of current and future freight transportation capacity are not only determined by robust models, but are critically contingent on the availability of accurate data. Effective partnerships are clearly needed between the public and private sectors to ensure adequate freight planning and funding of transportation infrastructure at the state and local levels. However, establishing partnerships with firms who are both busy and suspicious of data-sharing, remains a challenge. This study was commissioned by the Texas Department of Transportation (TxDOT) to explore the feasibility of TxDOT entering into a datasharing partnership with representatives of the private sector to obtain sample data for use in formulating a strategy for integrating public and private sector data sources. This report summarizes the findings, lessons learned, and recommendations formed from the outreach effort, and provides a prototype freight data architecture that will facilitate the storage, exchange, and integration of freight data through a data-sharing partnerships.
总页数: 160
报告类型: 科技报告
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