Food flows between counties in the United States
Food flows between counties in the United States
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DOI：
10.1088/1748-9326/ab29ae
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发表时间：
2019-08-01
影响因子：
6.7
通讯作者：
Konar, Megan
中科院分区：
文献类型：
--
作者：
Lin, Xiaowen;Ruess, Paul J.;Konar, Megan
食物的消费和生产在空间上是分开的，因为食物沿着复杂的供应链流动。这些食品供应链对我们的粮食安全至关重要，因此对它们进行评估非常重要。然而，关于各国内部粮食流动的详细空间信息很少。本文的目标是估计美国所有县对之间的粮食流动。为了做到这一点，我们开发了食物流动模型，这是一种数据驱动的方法来估计空间上明确的食物流动。食物流模型集成了机器学习、网络特性、生产和消费统计、质量平衡约束和线性规划。具体而言，我们将132个货运分析框架地点（17 292个潜在链接）之间的粮食流动的经验信息缩小到美国的3142个县和县当量（9869 022个潜在链接）。次国家粮食流量估算可用于未来的工作，以提高我们对国家粮食供应链脆弱性的理解，确定关键基础设施，并实现空间上详细的足迹评估。
Food consumption and production are separated in space through flows of food along complex supply chains. These food supply chains are critical to our food security, making it important to evaluate them. However, detailed spatial information on food flows within countries is rare. The goal of this paper is to estimate food flows between all county pairs within the United States. To do this, we develop the Food Flow Model, a data-driven methodology to estimate spatially explicit food flows. The Food Flow Model integrates machine learning, network properties, production and consumption statistics, mass balance constraints, and linear programming. Specifically, we downscale empirical information on food flows between 132 Freight Analysis Framework locations (17 292 potential links) to the 3142 counties and county-equivalents of the United States (9869 022 potential links). Subnational food flow estimates can be used in future work to improve our understanding of vulnerabilities within a national food supply chain, determine critical infrastructures, and enable spatially detailed footprint assessments.