Dataset Information

useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input-Output Models.

ABSTRACT: useeior is an open-source R package that builds USEEIO models, a family of environmentally-extended input-output models of US goods and services used for life cycle assessment, environmental footprint estimation, and related applications. USEEIO models have gained a wide user base since their initial release in 2017, but users were often challenged to prepare required input data and undergo a complicated model building approach. To address these challenges, useeior was created. In useeior, economic and environmental data are conveniently retrievable for immediate use. Users can build models simply from given or user-specified model configuration and optional hybridization specifications. The assembly of economic and environmental data and matrix calculations are automatically performed. Users can export model results to desired formats. useeior is a core component of the USEEIO modeling framework. It improves transparency, efficiency, and flexibility in building USEEIO models, and was used to deliver the recent USEEIO model.

SUBMITTER: Li M

PROVIDER: S-EPMC9175389 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input-Output Models.

Li Mo M Ingwersen Wesley W WW Young Ben B Vendries Jorge J Birney Catherine C

Applied sciences (Basel, Switzerland) 20220401 9

useeior is an open-source R package that builds USEEIO models, a family of environmentally-extended input-output models of US goods and services used for life cycle assessment, environmental footprint estimation, and related applications. USEEIO models have gained a wide user base since their initial release in 2017, but users were often challenged to prepare required input data and undergo a complicated model building approach. To address these challenges, useeior was created. In ...[more]

PMID: 35685831

Similar Datasets

Project description:The environmental impacts generated by household consumption are generally calculated through footprints, allocating the supply-chain impacts to the final consumers. This study compares the result of the Consumer Footprint indicator, aimed at assessing the impacts of household consumption in Europe, calculated with the two standard approaches usually implemented for footprint calculations: (i) a bottom-up approach, based on process-Life cycle assessment of a set of products and services representing household consumption, and (ii) a top-down approach, based on environmentally extended input-output tables (EXIOBASE 3). Environmental impacts are calculated considering 14 environmental impact categories out of the 16 included in the EF2017 impact assessment method. Both footprints show similar total values regarding climate change, freshwater eutrophication and fossil resource use, but in the meantime very large differences (more than a factor 2) regarding particulate matter, photochemical ozone formation, land use and mineral resource use. The exclusion of services in the bottom-up approach can explain only to some extent these differences. However, the two approaches converge in identifying food as the main driver of impact in most of the impact categories considered (with a generally lower contribution in top-down compared to bottom-up). Housing and mobility are relevant as well for some impact categories (e.g. particulate matter and fossil resource depletion). Some substances are identified as hotspot by both approaches, e.g. the emission of NH3 to air (for acidification and terrestrial eutrophication), of NOx to air (for acidification, marine and terrestrial eutrophication, and, to some extent, photochemical ozone formation), of P to water and to soil (for freshwater eutrophication) and of fossil CO2 to air (for climate change). Significant differences at the inventory side are key drivers for the differences in total impacts. These include: (i) differences in the intensity of emissions, (ii) differences in the coverage of elementary flows, (iii) differences in the level of detail relative to elementary flows. Overall, the key converging results from both approaches (in particular regarding most contributing areas of consumption and substances) can be considered as a robust basis to support the definition of policies aimed at reducing the environmental footprint of household consumption in Europe.

Dataset Information

useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input-Output Models.

Publications

<i>useeior</i>: An Open-Source R Package for Building and Using US Environmentally-Extended Input-Output Models.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input-Output Models.

Publications

&lt;i&gt;useeior&lt;/i&gt;: An Open-Source R Package for Building and Using US Environmentally-Extended Input-Output Models.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

<i>useeior</i>: An Open-Source R Package for Building and Using US Environmentally-Extended Input-Output Models.