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Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region
Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use of interactive, spatial-explicit social–ecological systems modeling. This paper develops a com...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190688/ https://www.ncbi.nlm.nih.gov/pubmed/31749102 http://dx.doi.org/10.1007/s13280-019-01290-y |
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author | Pan, Haozhi Page, Jessica Zhang, Le Cong, Cong Ferreira, Carla Jonsson, Elisie Näsström, Helena Destouni, Georgia Deal, Brian Kalantari, Zahra |
author_facet | Pan, Haozhi Page, Jessica Zhang, Le Cong, Cong Ferreira, Carla Jonsson, Elisie Näsström, Helena Destouni, Georgia Deal, Brian Kalantari, Zahra |
author_sort | Pan, Haozhi |
collection | PubMed |
description | Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use of interactive, spatial-explicit social–ecological systems modeling. This paper develops a comprehensive approach to modeling GHG emissions from urban developments, considering Stockholm County, Sweden as a case study. GHG projections to 2040 with a social–ecological system model yield overall greater emissions than simple extrapolations in official climate action planning. The most pronounced difference in emissions (39% higher) from energy use single-residence buildings resulting from urban sprawl. And this difference is not accounted for in the simple extrapolations. Scenario results indicate that a zoning policy, restricting urban development in certain areas, can mitigate 72% of the total emission effects of the model-projected urban sprawl. The study outcomes include a decision support interface for communicating results and policy implications with policymakers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13280-019-01290-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7190688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-71906882020-05-04 Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region Pan, Haozhi Page, Jessica Zhang, Le Cong, Cong Ferreira, Carla Jonsson, Elisie Näsström, Helena Destouni, Georgia Deal, Brian Kalantari, Zahra Ambio Research Article Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use of interactive, spatial-explicit social–ecological systems modeling. This paper develops a comprehensive approach to modeling GHG emissions from urban developments, considering Stockholm County, Sweden as a case study. GHG projections to 2040 with a social–ecological system model yield overall greater emissions than simple extrapolations in official climate action planning. The most pronounced difference in emissions (39% higher) from energy use single-residence buildings resulting from urban sprawl. And this difference is not accounted for in the simple extrapolations. Scenario results indicate that a zoning policy, restricting urban development in certain areas, can mitigate 72% of the total emission effects of the model-projected urban sprawl. The study outcomes include a decision support interface for communicating results and policy implications with policymakers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13280-019-01290-y) contains supplementary material, which is available to authorized users. Springer Netherlands 2019-11-20 2020-07 /pmc/articles/PMC7190688/ /pubmed/31749102 http://dx.doi.org/10.1007/s13280-019-01290-y Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Article Pan, Haozhi Page, Jessica Zhang, Le Cong, Cong Ferreira, Carla Jonsson, Elisie Näsström, Helena Destouni, Georgia Deal, Brian Kalantari, Zahra Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region |
title | Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region |
title_full | Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region |
title_fullStr | Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region |
title_full_unstemmed | Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region |
title_short | Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region |
title_sort | understanding interactions between urban development policies and ghg emissions: a case study in stockholm region |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190688/ https://www.ncbi.nlm.nih.gov/pubmed/31749102 http://dx.doi.org/10.1007/s13280-019-01290-y |
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