Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China
The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shi, Kaifang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Umfang: |
13 |
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| Übergeordnetes Werk: |
Enthalten in: Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion - Solanki, Nayan ELSEVIER, 2017, the international journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:167 ; year:2019 ; day:15 ; month:01 ; pages:641-653 ; extent:13 |
| Links: |
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| DOI / URN: |
10.1016/j.energy.2018.11.022 |
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ELV045373337 |
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| 245 | 1 | 0 | |a Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China |
| 264 | 1 | |c 2019transfer abstract | |
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| 520 | |a The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. | ||
| 520 | |a The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. | ||
| 650 | 7 | |a DMSP-OLS |2 Elsevier | |
| 650 | 7 | |a Urban electricity consumption |2 Elsevier | |
| 650 | 7 | |a Spatiotemporal patterns |2 Elsevier | |
| 650 | 7 | |a Urban boundary |2 Elsevier | |
| 650 | 7 | |a Chongqing |2 Elsevier | |
| 700 | 1 | |a Yang, Qingyuan |4 oth | |
| 700 | 1 | |a Fang, Guangliang |4 oth | |
| 700 | 1 | |a Yu, Bailang |4 oth | |
| 700 | 1 | |a Chen, Zuoqi |4 oth | |
| 700 | 1 | |a Yang, Chengshu |4 oth | |
| 700 | 1 | |a Wu, Jianping |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Solanki, Nayan ELSEVIER |t Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |d 2017 |d the international journal |g Amsterdam [u.a.] |w (DE-627)ELV000529575 |
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10.1016/j.energy.2018.11.022 doi GBV00000000000628.pica (DE-627)ELV045373337 (ELSEVIER)S0360-5442(18)32226-6 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Shi, Kaifang verfasserin aut Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. DMSP-OLS Elsevier Urban electricity consumption Elsevier Spatiotemporal patterns Elsevier Urban boundary Elsevier Chongqing Elsevier Yang, Qingyuan oth Fang, Guangliang oth Yu, Bailang oth Chen, Zuoqi oth Yang, Chengshu oth Wu, Jianping oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:167 year:2019 day:15 month:01 pages:641-653 extent:13 https://doi.org/10.1016/j.energy.2018.11.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 167 2019 15 0115 641-653 13 |
| spelling |
10.1016/j.energy.2018.11.022 doi GBV00000000000628.pica (DE-627)ELV045373337 (ELSEVIER)S0360-5442(18)32226-6 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Shi, Kaifang verfasserin aut Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. DMSP-OLS Elsevier Urban electricity consumption Elsevier Spatiotemporal patterns Elsevier Urban boundary Elsevier Chongqing Elsevier Yang, Qingyuan oth Fang, Guangliang oth Yu, Bailang oth Chen, Zuoqi oth Yang, Chengshu oth Wu, Jianping oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:167 year:2019 day:15 month:01 pages:641-653 extent:13 https://doi.org/10.1016/j.energy.2018.11.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 167 2019 15 0115 641-653 13 |
| allfields_unstemmed |
10.1016/j.energy.2018.11.022 doi GBV00000000000628.pica (DE-627)ELV045373337 (ELSEVIER)S0360-5442(18)32226-6 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Shi, Kaifang verfasserin aut Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. DMSP-OLS Elsevier Urban electricity consumption Elsevier Spatiotemporal patterns Elsevier Urban boundary Elsevier Chongqing Elsevier Yang, Qingyuan oth Fang, Guangliang oth Yu, Bailang oth Chen, Zuoqi oth Yang, Chengshu oth Wu, Jianping oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:167 year:2019 day:15 month:01 pages:641-653 extent:13 https://doi.org/10.1016/j.energy.2018.11.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 167 2019 15 0115 641-653 13 |
| allfieldsGer |
10.1016/j.energy.2018.11.022 doi GBV00000000000628.pica (DE-627)ELV045373337 (ELSEVIER)S0360-5442(18)32226-6 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Shi, Kaifang verfasserin aut Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. DMSP-OLS Elsevier Urban electricity consumption Elsevier Spatiotemporal patterns Elsevier Urban boundary Elsevier Chongqing Elsevier Yang, Qingyuan oth Fang, Guangliang oth Yu, Bailang oth Chen, Zuoqi oth Yang, Chengshu oth Wu, Jianping oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:167 year:2019 day:15 month:01 pages:641-653 extent:13 https://doi.org/10.1016/j.energy.2018.11.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 167 2019 15 0115 641-653 13 |
| allfieldsSound |
10.1016/j.energy.2018.11.022 doi GBV00000000000628.pica (DE-627)ELV045373337 (ELSEVIER)S0360-5442(18)32226-6 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Shi, Kaifang verfasserin aut Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. DMSP-OLS Elsevier Urban electricity consumption Elsevier Spatiotemporal patterns Elsevier Urban boundary Elsevier Chongqing Elsevier Yang, Qingyuan oth Fang, Guangliang oth Yu, Bailang oth Chen, Zuoqi oth Yang, Chengshu oth Wu, Jianping oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:167 year:2019 day:15 month:01 pages:641-653 extent:13 https://doi.org/10.1016/j.energy.2018.11.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 167 2019 15 0115 641-653 13 |
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Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China |
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The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. |
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The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. |
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The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV045373337</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626011254.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">190205s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.energy.2018.11.022</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000628.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV045373337</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0360-5442(18)32226-6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">15,3</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHARM</subfield><subfield code="q">DE-84</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Shi, Kaifang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">13</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. This study suggested that decision makers should explicitly state the accounting boundaries to avoid data gaming and inaccurate results when designing benchmarks or plans or when analysing the performance of urban electricity consumption.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The timely and effective evaluation of spatiotemporal patterns of urban electricity consumption is a critical prerequisite for establishing policy on sustainable electricity utilisation in China. However, calculating urban electricity consumption in China is difficult due to the confusion generated by the various city definitions and corresponding urban boundaries. Using Chongqing as a case study, this study was the first attempt to evaluate and compare the spatiotemporal patterns of urban electricity consumption within different spatial boundaries. Four urban boundaries, including the city administrative area, city district, urban centre, and urban built-up area, were defined using the administrative boundaries and urban built-up area data. Then, the electricity consumption was estimated at a 1-km spatial resolution from 1992 to 2013 using the nighttime light data and statistical electricity consumption data. Finally, the temporal and spatial evolution of urban electricity consumption within different boundaries were evaluated and compared from multiple perspectives. The results showed that a rapid increase in urban electricity consumption occurred in the four urban boundaries in Chongqing from 1992 to 2013. The urban electricity consumption in urban built-up area accounted for 34.34%–45.69% of that in city administrative area from 1992 to 2013, which indicated that urban built-up area was still the centre of electricity consumption in Chongqing. There was a very low-gridded urban electricity consumption with significant spatial variability in city administrative area, city district, and urban centre; however, there was a wide distribution from 10.03 to 20.21 million kWh in urban built-up area. Special attention should be given to urban built-up area, which presented the highest per capita urban electricity consumption among the four urban boundaries, with values from 18,470 kWh in 2005 to 20,370 kWh in 2010. Our results also noted that the urbanisation rate has become the strongest driver of urban electricity consumption within the different urban boundaries in Chongqing, with R 2 values larger than 0.95. 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