Low-carbon neighborhood planning technology and indicator system
Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Xiaoming [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease - Soke, Fatih ELSEVIER, 2019, an international journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:57 ; year:2016 ; pages:1066-1076 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.rser.2015.12.076 |
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| 520 | |a Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. | ||
| 520 | |a Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. | ||
| 650 | 7 | |a Climate change |2 Elsevier | |
| 650 | 7 | |a Indicator system |2 Elsevier | |
| 650 | 7 | |a Neighborhood planning technology |2 Elsevier | |
| 650 | 7 | |a Low-carbon |2 Elsevier | |
| 700 | 1 | |a Zhao, Guochao |4 oth | |
| 700 | 1 | |a He, Chenchen |4 oth | |
| 700 | 1 | |a Wang, Xu |4 oth | |
| 700 | 1 | |a Peng, Wenjun |4 oth | |
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10.1016/j.rser.2015.12.076 doi GBV00000000000066A.pica (DE-627)ELV01365568X (ELSEVIER)S1364-0321(15)01459-8 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 44.90 bkl 44.65 bkl Wang, Xiaoming verfasserin aut Low-carbon neighborhood planning technology and indicator system 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change Elsevier Indicator system Elsevier Neighborhood planning technology Elsevier Low-carbon Elsevier Zhao, Guochao oth He, Chenchen oth Wang, Xu oth Peng, Wenjun oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:57 year:2016 pages:1066-1076 extent:11 https://doi.org/10.1016/j.rser.2015.12.076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 57 2016 1066-1076 11 045F 620 |
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10.1016/j.rser.2015.12.076 doi GBV00000000000066A.pica (DE-627)ELV01365568X (ELSEVIER)S1364-0321(15)01459-8 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 44.90 bkl 44.65 bkl Wang, Xiaoming verfasserin aut Low-carbon neighborhood planning technology and indicator system 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change Elsevier Indicator system Elsevier Neighborhood planning technology Elsevier Low-carbon Elsevier Zhao, Guochao oth He, Chenchen oth Wang, Xu oth Peng, Wenjun oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:57 year:2016 pages:1066-1076 extent:11 https://doi.org/10.1016/j.rser.2015.12.076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 57 2016 1066-1076 11 045F 620 |
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10.1016/j.rser.2015.12.076 doi GBV00000000000066A.pica (DE-627)ELV01365568X (ELSEVIER)S1364-0321(15)01459-8 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 44.90 bkl 44.65 bkl Wang, Xiaoming verfasserin aut Low-carbon neighborhood planning technology and indicator system 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change Elsevier Indicator system Elsevier Neighborhood planning technology Elsevier Low-carbon Elsevier Zhao, Guochao oth He, Chenchen oth Wang, Xu oth Peng, Wenjun oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:57 year:2016 pages:1066-1076 extent:11 https://doi.org/10.1016/j.rser.2015.12.076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 57 2016 1066-1076 11 045F 620 |
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10.1016/j.rser.2015.12.076 doi GBV00000000000066A.pica (DE-627)ELV01365568X (ELSEVIER)S1364-0321(15)01459-8 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 44.90 bkl 44.65 bkl Wang, Xiaoming verfasserin aut Low-carbon neighborhood planning technology and indicator system 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change Elsevier Indicator system Elsevier Neighborhood planning technology Elsevier Low-carbon Elsevier Zhao, Guochao oth He, Chenchen oth Wang, Xu oth Peng, Wenjun oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:57 year:2016 pages:1066-1076 extent:11 https://doi.org/10.1016/j.rser.2015.12.076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 57 2016 1066-1076 11 045F 620 |
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10.1016/j.rser.2015.12.076 doi GBV00000000000066A.pica (DE-627)ELV01365568X (ELSEVIER)S1364-0321(15)01459-8 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 44.90 bkl 44.65 bkl Wang, Xiaoming verfasserin aut Low-carbon neighborhood planning technology and indicator system 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. Climate change Elsevier Indicator system Elsevier Neighborhood planning technology Elsevier Low-carbon Elsevier Zhao, Guochao oth He, Chenchen oth Wang, Xu oth Peng, Wenjun oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:57 year:2016 pages:1066-1076 extent:11 https://doi.org/10.1016/j.rser.2015.12.076 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 57 2016 1066-1076 11 045F 620 |
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Enthalten in Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease Amsterdam [u.a.] volume:57 year:2016 pages:1066-1076 extent:11 |
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Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease |
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Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. |
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Climate change has become a global issue influencing human survival and development while urban carbon emission is the main factor. As a fundamental building block of the city, neighborhood is not only the basic space to create a truly sustainable community but also the starting point for the use of low-carbon ideas and technologies to address climate change and promote the construction of a low-carbon city. Considering the significance of neighborhood planning on reducing carbon emissions, we proposed low-carbon neighborhood planning technologies from six aspects: layout planning, traffic planning, architecture planning and design, environment planning, municipal engineering planning and construction management. Moreover, we built an indicator system of low-carbon neighborhood based on these technologies from the perspective of “carbon source control” and “carbon sinks expansion” and used Analytic Network Process (ANP) to analyze the internal feedback and obtain the priorities. The system could be used to indicate low-carbon degree and provide measures for improvements. Furthermore, we carried out a case study using the proposed method for a neighborhood in Shandong province, China. Our practice has proved that the system could promote sustainable and low-carbon development of urban neighborhood and provide the government an effective tool. |
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