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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...

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Autores principales: Pan, Haozhi, Page, Jessica, Zhang, Le, Cong, Cong, Ferreira, Carla, Jonsson, Elisie, Näsström, Helena, Destouni, Georgia, Deal, Brian, Kalantari, Zahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2019
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.
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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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