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Filling Gaps in the U.S. Commodity Flow Picture Using the CFS with Other Data Sources

机译:使用其他数据源的CFS填充美国商品流程图片中的差距

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The U.S. Commodity Flow Surveys (CFS) provide a wealth of data on the movement of freight within the country, by mode of transportation, dollar value, annual tonnage, door-to-door shipment distance, and shipment size. Yet gaps in CFS coverage and a lack of spatial and commodity detail limit the value of mis data for planning and policy supporting studies. This paper identifies these gaps and considers how supplementary data sources combined with statistical modeling techniques can be used to create a more complete picture of national and regional commodity flows. The first half of the paper describes current data gaps and available data resources. The second half of the paper discusses possible gap-filling solutions. Solutions fall into two categories: data synthesis using current data sources, and improved and expanded data collection methods.
机译:美国商品流动调查(CFS)通过运输方式,美元价值,年度吨位,门到门装运距离和装运大小提供了大量关于国内运费的流动数据。然而,CFS覆盖范围的差距和缺乏空间和商品细节限制了MIS数据的规划和政策支持研究的价值。本文识别出这些差距,并考虑了补充数据源如何与统计建模技术相结合,可用于创建国家和区域商品流程的更完整的画面。本文的前半部分介绍了当前数据间隙和可用数据资源。本文的下半部分讨论了可能的间隙填充解决方案。解决方案分为两类:使用当前数据源的数据综合,并改进和扩展的数据收集方法。

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