Greenhouse gas emissions accounting of urban residential consumption: a household survey based approach
| dc.contributor.author | Lin, Tao | |
| dc.contributor.author | Yu, Yunjun | |
| dc.contributor.author | Bai, Xuemei | |
| dc.contributor.author | Feng, Ling | |
| dc.contributor.author | Wang, Jin | |
| dc.date.accessioned | 2015-10-23T01:23:16Z | |
| dc.date.available | 2015-10-23T01:23:16Z | |
| dc.date.issued | 2013-02-06 | |
| dc.date.updated | 2015-12-10T09:43:32Z | |
| dc.description.abstract | Devising policies for a low carbon city requires a careful understanding of the characteristics of urban residential lifestyle and consumption. The production-based accounting approach based on top-down statistical data has a limited ability to reflect the total greenhouse gas (GHG) emissions from residential consumption. In this paper, we present a survey-based GHG emissions accounting methodology for urban residential consumption, and apply it in Xiamen City, a rapidly urbanizing coastal city in southeast China. Based on this, the main influencing factors determining residential GHG emissions at the household and community scale are identified, and the typical profiles of low, medium and high GHG emission households and communities are identified. Up to 70% of household GHG emissions are from regional and national activities that support household consumption including the supply of energy and building materials, while 17% are from urban level basic services and supplies such as sewage treatment and solid waste management, and only 13% are direct emissions from household consumption. Housing area and household size are the two main factors determining GHG emissions from residential consumption at the household scale, while average housing area and building height were the main factors at the community scale. Our results show a large disparity in GHG emissions profiles among different households, with high GHG emissions households emitting about five times more than low GHG emissions households. Emissions from high GHG emissions communities are about twice as high as from low GHG emissions communities. Our findings can contribute to better tailored and targeted policies aimed at reducing household GHG emissions, and developing low GHG emissions residential communities in China. | |
| dc.description.sponsorship | Funding was provided by the National Natural Science Foundation of China (41201598), http://www.nsfc.gov.cn; Fujian Provincial department of Science and Technology (2011R0093,2010I0014), http://xmgl.fjkjt.gov.cn/; and China Postdoctoral Science Foundation (20110490614), http://www. chinapostdoctor.org.cn/. | en_AU |
| dc.format | 12 pages | |
| dc.identifier.issn | 1932-6203 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/16051 | |
| dc.publisher | Public Library of Science | |
| dc.rights | © 2013 Lin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
| dc.source | PLoS ONE | |
| dc.subject | adult | |
| dc.subject | air pollution | |
| dc.subject | carbon | |
| dc.subject | china | |
| dc.subject | environmental monitoring | |
| dc.subject | female | |
| dc.subject | humans | |
| dc.subject | male | |
| dc.subject | middle aged | |
| dc.subject | urban renewal | |
| dc.subject | waste management | |
| dc.subject | gases | |
| dc.subject | greenhouse effect | |
| dc.subject | residence characteristics | |
| dc.title | Greenhouse gas emissions accounting of urban residential consumption: a household survey based approach | |
| dc.type | Journal article | |
| dcterms.dateAccepted | 2012-12-28 | |
| local.bibliographicCitation.issue | 2 | en_AU |
| local.bibliographicCitation.startpage | e55642 | en_AU |
| local.contributor.affiliation | Lin, Tao, Chinese Academy of Sciences, China | en_AU |
| local.contributor.affiliation | Yu, Yunjun, Xiamen Key Labortory of Urban Metabolism, China | en_AU |
| local.contributor.affiliation | Bai, Xuemei, College of Medicine, Biology and Environment, CMBE Fenner School of Environment and Society, FSES General, The Australian National University | en_AU |
| local.contributor.affiliation | Feng, Ling, Chinese Academy of Sciences, China | en_AU |
| local.contributor.affiliation | Wang, Jin, Chinese Academy of Sciences, China | en_AU |
| local.contributor.authoruid | u5073806 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 050205 | en_AU |
| local.identifier.absfor | 120507 | en_AU |
| local.identifier.absseo | 960604 | en_AU |
| local.identifier.ariespublication | u4279067xPUB975 | en_AU |
| local.identifier.citationvolume | 8 | en_AU |
| local.identifier.doi | 10.1371/journal.pone.0055642 | en_AU |
| local.identifier.essn | 1932-6203 | en_AU |
| local.identifier.scopusID | 2-s2.0-84873549311 | |
| local.identifier.thomsonID | 000315153400132 | |
| local.publisher.url | https://www.plos.org/ | en_AU |
| local.type.status | Published Version | en_AU |
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