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Estimating an origin-destination table for US exports of waterborne containerised freight

机译：估计美国水性集装箱货物出口的原产地表

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US containerised freight traffic through US seaports is growing rapidly. Given this growth rate, it is important to have an accurate understanding of the flow of these goods both within the United States and to and from foreign countries, so that investments in infrastructure can be made consistent with the needs generated by this traffic. This paper develops an optimisation model to estimate an origin-destination table for the number of containers shipped from aggregations of Bureau of Economic Analysis economic areas in the United States to foreign countries. To do this, we synthesise data from various sources with a gravity model for the demand of container traffic. A sensitivity analysis on the estimated origin-destination table shows it is robust to changes in the gravity model parameter. The model also pays explicit attention to empty containers resulting from the significant US trade imbalance, and therefore estimates flows for both full and empty containers.
机译：美国通过美国海港的集装箱货运量增长迅速。在这种增长速度下，重要的是要准确了解这些商品在美国国内以及与国外之间的流动，以便可以根据这种交通产生的需求进行基础设施投资。本文开发了一种优化模型，以估算从美国经济分析局经济区域汇总至国外的集装箱运输目的地数量表。为此，我们使用重力模型综合了来自各种来源的数据，以满足集装箱运输的需求。对估计的原点-目的地表的敏感性分析表明，它对重力模型参数的更改具有鲁棒性。该模型还特别关注了因美国贸易严重失衡而导致的空集装箱，因此估算了满集装箱和空集装箱的流量。

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