A carbon footprint analysis of the redevelopment of former residential areas
The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce...
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| Autor*in: |
Luo, Xiaoyu [verfasserIn] Ren, Mengyu [verfasserIn] Cao, Xingyu [verfasserIn] Ge, Jian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Rechteinformationen: |
Open Access Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International ; CC BY-NC-ND 4.0 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of urban management - Amsterdam [u.a.] : Elsevier, 2012, 13(2024), 3 vom: Sept., Seite 410-424 |
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| Übergeordnetes Werk: |
volume:13 ; year:2024 ; number:3 ; month:09 ; pages:410-424 |
| Links: |
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| DOI / URN: |
10.1016/j.jum.2024.05.005 |
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| Katalog-ID: |
1902419626 |
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| 520 | |a The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. | ||
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10.1016/j.jum.2024.05.005 doi (DE-627)1902419626 (DE-599)KXP1902419626 DE-627 ger DE-627 rda eng Luo, Xiaoyu verfasserin aut A carbon footprint analysis of the redevelopment of former residential areas Xiaoyu Luo, Mengyu Ren, Xingyu Cao, Jian Ge 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Carbon emissions accounting (dpeaa)DE-206 Carbon reduction effect (dpeaa)DE-206 Recommended technologies (dpeaa)DE-206 Residential transformation (dpeaa)DE-206 Ren, Mengyu verfasserin aut Cao, Xingyu verfasserin aut Ge, Jian verfasserin (DE-588)1022077651 (DE-627)71531081X (DE-576)364594136 aut Enthalten in Journal of urban management Amsterdam [u.a.] : Elsevier, 2012 13(2024), 3 vom: Sept., Seite 410-424 Online-Ressource (DE-627)837630150 (DE-600)2837330-3 (DE-576)446573256 2589-0360 nnns volume:13 year:2024 number:3 month:09 pages:410-424 https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.jum.2024.05.005 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 13 2024 3 9 410-424 26 01 0206 4578999971 x1z 12-09-24 2403 01 DE-LFER 4590849283 00 --%%-- --%%-- n --%%-- l01 10-10-24 2403 01 DE-LFER https://doi.org/10.1016/j.jum.2024.05.005 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf |
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10.1016/j.jum.2024.05.005 doi (DE-627)1902419626 (DE-599)KXP1902419626 DE-627 ger DE-627 rda eng Luo, Xiaoyu verfasserin aut A carbon footprint analysis of the redevelopment of former residential areas Xiaoyu Luo, Mengyu Ren, Xingyu Cao, Jian Ge 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Carbon emissions accounting (dpeaa)DE-206 Carbon reduction effect (dpeaa)DE-206 Recommended technologies (dpeaa)DE-206 Residential transformation (dpeaa)DE-206 Ren, Mengyu verfasserin aut Cao, Xingyu verfasserin aut Ge, Jian verfasserin (DE-588)1022077651 (DE-627)71531081X (DE-576)364594136 aut Enthalten in Journal of urban management Amsterdam [u.a.] : Elsevier, 2012 13(2024), 3 vom: Sept., Seite 410-424 Online-Ressource (DE-627)837630150 (DE-600)2837330-3 (DE-576)446573256 2589-0360 nnns volume:13 year:2024 number:3 month:09 pages:410-424 https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.jum.2024.05.005 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 13 2024 3 9 410-424 26 01 0206 4578999971 x1z 12-09-24 2403 01 DE-LFER 4590849283 00 --%%-- --%%-- n --%%-- l01 10-10-24 2403 01 DE-LFER https://doi.org/10.1016/j.jum.2024.05.005 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf |
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10.1016/j.jum.2024.05.005 doi (DE-627)1902419626 (DE-599)KXP1902419626 DE-627 ger DE-627 rda eng Luo, Xiaoyu verfasserin aut A carbon footprint analysis of the redevelopment of former residential areas Xiaoyu Luo, Mengyu Ren, Xingyu Cao, Jian Ge 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Carbon emissions accounting (dpeaa)DE-206 Carbon reduction effect (dpeaa)DE-206 Recommended technologies (dpeaa)DE-206 Residential transformation (dpeaa)DE-206 Ren, Mengyu verfasserin aut Cao, Xingyu verfasserin aut Ge, Jian verfasserin (DE-588)1022077651 (DE-627)71531081X (DE-576)364594136 aut Enthalten in Journal of urban management Amsterdam [u.a.] : Elsevier, 2012 13(2024), 3 vom: Sept., Seite 410-424 Online-Ressource (DE-627)837630150 (DE-600)2837330-3 (DE-576)446573256 2589-0360 nnns volume:13 year:2024 number:3 month:09 pages:410-424 https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.jum.2024.05.005 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 13 2024 3 9 410-424 26 01 0206 4578999971 x1z 12-09-24 2403 01 DE-LFER 4590849283 00 --%%-- --%%-- n --%%-- l01 10-10-24 2403 01 DE-LFER https://doi.org/10.1016/j.jum.2024.05.005 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf |
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10.1016/j.jum.2024.05.005 doi (DE-627)1902419626 (DE-599)KXP1902419626 DE-627 ger DE-627 rda eng Luo, Xiaoyu verfasserin aut A carbon footprint analysis of the redevelopment of former residential areas Xiaoyu Luo, Mengyu Ren, Xingyu Cao, Jian Ge 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Carbon emissions accounting (dpeaa)DE-206 Carbon reduction effect (dpeaa)DE-206 Recommended technologies (dpeaa)DE-206 Residential transformation (dpeaa)DE-206 Ren, Mengyu verfasserin aut Cao, Xingyu verfasserin aut Ge, Jian verfasserin (DE-588)1022077651 (DE-627)71531081X (DE-576)364594136 aut Enthalten in Journal of urban management Amsterdam [u.a.] : Elsevier, 2012 13(2024), 3 vom: Sept., Seite 410-424 Online-Ressource (DE-627)837630150 (DE-600)2837330-3 (DE-576)446573256 2589-0360 nnns volume:13 year:2024 number:3 month:09 pages:410-424 https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.jum.2024.05.005 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 13 2024 3 9 410-424 26 01 0206 4578999971 x1z 12-09-24 2403 01 DE-LFER 4590849283 00 --%%-- --%%-- n --%%-- l01 10-10-24 2403 01 DE-LFER https://doi.org/10.1016/j.jum.2024.05.005 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf |
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10.1016/j.jum.2024.05.005 doi (DE-627)1902419626 (DE-599)KXP1902419626 DE-627 ger DE-627 rda eng Luo, Xiaoyu verfasserin aut A carbon footprint analysis of the redevelopment of former residential areas Xiaoyu Luo, Mengyu Ren, Xingyu Cao, Jian Ge 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Carbon emissions accounting (dpeaa)DE-206 Carbon reduction effect (dpeaa)DE-206 Recommended technologies (dpeaa)DE-206 Residential transformation (dpeaa)DE-206 Ren, Mengyu verfasserin aut Cao, Xingyu verfasserin aut Ge, Jian verfasserin (DE-588)1022077651 (DE-627)71531081X (DE-576)364594136 aut Enthalten in Journal of urban management Amsterdam [u.a.] : Elsevier, 2012 13(2024), 3 vom: Sept., Seite 410-424 Online-Ressource (DE-627)837630150 (DE-600)2837330-3 (DE-576)446573256 2589-0360 nnns volume:13 year:2024 number:3 month:09 pages:410-424 https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.jum.2024.05.005 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 13 2024 3 9 410-424 26 01 0206 4578999971 x1z 12-09-24 2403 01 DE-LFER 4590849283 00 --%%-- --%%-- n --%%-- l01 10-10-24 2403 01 DE-LFER https://doi.org/10.1016/j.jum.2024.05.005 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf |
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A carbon footprint analysis of the redevelopment of former residential areas |
| abstract |
The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. |
| abstractGer |
The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. |
| abstract_unstemmed |
The negative impacts of greenhouse gas emissions, particularly CO2 emissions, have garnered widespread attention. Various old residential areas in China, built more than 20 years ago, have been undergoing urgent transformation to improve citizens' quality of life, which may significantly reduce carbon emissions. This study developed a carbon emissions accounting framework for residential areas to account the emissions impact of residential transformation. The framework addressed the inventory classifications of landscape greening, residential buildings, water resources, solid waste, infrastructure and transportation. The consumption-based calculation model and bottom-up data collection methods were used. The results show that the transformation of two old residential areas achieved considerable carbon reductions of 17.16% and 33.37% in South and North China, respectively. The macro guidance of local policies, specifically those regarding local urban infrastructure construction, significantly aided the carbon emissions reductions. Based on the calculation results, a list of recommended technologies was proposed to reduce carbon emissions, and four measures (adding greening, improving the garbage recovery rate, separating rain and sewage and transforming envelope structures for energy savings in northern China) were recommended to promote low carbon development in residential areas. |
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| title_short |
A carbon footprint analysis of the redevelopment of former residential areas |
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https://www.sciencedirect.com/science/article/pii/S2226585624000645/pdfft?md5=12d9680785fb67ff4dd3c4df958eb3b6&pid=1-s2.0-S2226585624000645-main.pdf https://doi.org/10.1016/j.jum.2024.05.005 |
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Ren, Mengyu Cao, Xingyu Ge, Jian |
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10.1016/j.jum.2024.05.005 |
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2024-10-11T08:58:34.013Z |
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| score |
7.168803 |