2022
DOI: 10.1088/2634-4505/ac676d
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The carbon footprint of cold chain food flows in the United States

Abstract: The food system is an important contributor to carbon dioxide emissions. The refrigerated food supply chain is an energy-intensive, nutritious, and high-value part of the food system, making it particularly important to consider. In this study, we develop a novel model of cold chain food flows between counties in the United States. Specifically, we estimate the truck transport via roadways of `meat' and `prepared foodstuffs' for the year 2017. We use the roadway travel distance in our model framework rather th… Show more

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Cited by 5 publications
(7 citation statements)
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“…The network is also based on great-circle distances rather than actual road distances. Recent work by Wang et al 61 addressed this limitation through the use of roadway miles between counties when modeling cold-chain flows, which can be used in future studies. Our model still aids in the understanding of the role of sourcing and spatial irrigation patterns on the relative consumption-based water footprints.…”
Section: ■ Discussion and Outlookmentioning
confidence: 99%
See 1 more Smart Citation
“…The network is also based on great-circle distances rather than actual road distances. Recent work by Wang et al 61 addressed this limitation through the use of roadway miles between counties when modeling cold-chain flows, which can be used in future studies. Our model still aids in the understanding of the role of sourcing and spatial irrigation patterns on the relative consumption-based water footprints.…”
Section: ■ Discussion and Outlookmentioning
confidence: 99%
“…The network is also based on great-circle distances rather than actual road distances. Recent work by Wang et al . addressed this limitation through the use of roadway miles between counties when modeling cold-chain flows, which can be used in future studies.…”
Section: Discussion and Outlookmentioning
confidence: 99%
“…Different models have different applications, with many models supporting benchmarking and simulation of possible future scenarios. Various data gathering, handling (e.g., dimensionality reduction), and modeling approaches are represented in this focus issue, including regression [3] and other machine learning methods for classification [10,11], principal component analysis [12,13], participatory action research [8], differential equations representing underlying physical science [14], and other building-scale models [14][15][16]. Research models and analyses, combined with multi-scale digital applications [7], can translate impacts from large-scale infrastructure operations (e.g., CO 2 emissions from electricity generation) to the end-use scale [6,16], though there are often overlapping spatial scales for resources and governance.…”
Section: Synthesis Of the Issuementioning
confidence: 99%
“…water, carbon, etc) in future work. However, it is important to note that our flow database would help to resolve transport footprints, which are considerably smaller than production footprints [27], but could still be large and comparable to the emissions of some nations [55]. Another important avenue of future research is to determine any vulnerabilities that may exist in this bilateral agri-food trade network.…”
Section: Future Researchmentioning
confidence: 99%
“…Climate change will alter domestic agricultural supply chains in both countries [23,24], making it essential to understand current infrastructure investment requirements. There is a rich literature on the environmental footprints of trade within and between the US and China [25][26][27], which could be refined in future work with spatially resolved trade information between the two countries.…”
Section: Introductionmentioning
confidence: 99%