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What Are the Different Measures of Mobility Telling Us About Surface Transportation CO(2) Emissions During the COVID‐19 Pandemic?
The COVID‐19 pandemic led to widespread reductions in mobility and induced observable changes in atmospheric emissions. Recent work has employed novel mobility data sets as a proxy for trace gas emissions from traffic by scaling CO(2) emissions linearly with those near‐real‐time mobility data. Yet,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206752/ https://www.ncbi.nlm.nih.gov/pubmed/34150431 http://dx.doi.org/10.1029/2021JD034664 |
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author | Gensheimer, Johannes Turner, Alexander J. Shekhar, Ankit Wenzel, Adrian Keutsch, Frank N. Chen, Jia |
author_facet | Gensheimer, Johannes Turner, Alexander J. Shekhar, Ankit Wenzel, Adrian Keutsch, Frank N. Chen, Jia |
author_sort | Gensheimer, Johannes |
collection | PubMed |
description | The COVID‐19 pandemic led to widespread reductions in mobility and induced observable changes in atmospheric emissions. Recent work has employed novel mobility data sets as a proxy for trace gas emissions from traffic by scaling CO(2) emissions linearly with those near‐real‐time mobility data. Yet, there has been little work evaluating these emission numbers. Here, we systematically compare these mobility data sets to traffic data from local governments in seven diverse urban and national/state regions to characterize the magnitude of errors that result from using the mobility data. We observe differences in excess of 60% between these mobility data sets and local traffic data. We could not find a general functional relationship between the mobility data and traffic flow over all the regions and observe higher deviations from using such general relationships than the original data. Finally, we give an overview of the potential errors that come from estimating CO(2) emissions using (mobility or traffic) activity data. Future work should be cautious while using these mobility metrics for emission estimates. |
format | Online Article Text |
id | pubmed-8206752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82067522021-06-16 What Are the Different Measures of Mobility Telling Us About Surface Transportation CO(2) Emissions During the COVID‐19 Pandemic? Gensheimer, Johannes Turner, Alexander J. Shekhar, Ankit Wenzel, Adrian Keutsch, Frank N. Chen, Jia J Geophys Res Atmos Research Article The COVID‐19 pandemic led to widespread reductions in mobility and induced observable changes in atmospheric emissions. Recent work has employed novel mobility data sets as a proxy for trace gas emissions from traffic by scaling CO(2) emissions linearly with those near‐real‐time mobility data. Yet, there has been little work evaluating these emission numbers. Here, we systematically compare these mobility data sets to traffic data from local governments in seven diverse urban and national/state regions to characterize the magnitude of errors that result from using the mobility data. We observe differences in excess of 60% between these mobility data sets and local traffic data. We could not find a general functional relationship between the mobility data and traffic flow over all the regions and observe higher deviations from using such general relationships than the original data. Finally, we give an overview of the potential errors that come from estimating CO(2) emissions using (mobility or traffic) activity data. Future work should be cautious while using these mobility metrics for emission estimates. John Wiley and Sons Inc. 2021-06-01 2021-06-16 /pmc/articles/PMC8206752/ /pubmed/34150431 http://dx.doi.org/10.1029/2021JD034664 Text en © 2021. The Authors. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Article Gensheimer, Johannes Turner, Alexander J. Shekhar, Ankit Wenzel, Adrian Keutsch, Frank N. Chen, Jia What Are the Different Measures of Mobility Telling Us About Surface Transportation CO(2) Emissions During the COVID‐19 Pandemic? |
title | What Are the Different Measures of Mobility Telling Us About Surface Transportation CO(2) Emissions During the COVID‐19 Pandemic? |
title_full | What Are the Different Measures of Mobility Telling Us About Surface Transportation CO(2) Emissions During the COVID‐19 Pandemic? |
title_fullStr | What Are the Different Measures of Mobility Telling Us About Surface Transportation CO(2) Emissions During the COVID‐19 Pandemic? |
title_full_unstemmed | What Are the Different Measures of Mobility Telling Us About Surface Transportation CO(2) Emissions During the COVID‐19 Pandemic? |
title_short | What Are the Different Measures of Mobility Telling Us About Surface Transportation CO(2) Emissions During the COVID‐19 Pandemic? |
title_sort | what are the different measures of mobility telling us about surface transportation co(2) emissions during the covid‐19 pandemic? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206752/ https://www.ncbi.nlm.nih.gov/pubmed/34150431 http://dx.doi.org/10.1029/2021JD034664 |
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