Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data

Gao Nannan; Li Fen

doi:doi:10.11648/j.ijeee.20210606.14

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Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data

Gao Nannan, Li Fen

Published in International Journal of Economy, Energy and Environment (Volume 6, Issue 6)

Received: 25 December 2021 Published: 29 December 2021

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Abstract

Climate change has become a major global environmental issue that is widely concerned by countries around the world. It has been a very clear scientific consensus that the global carbon emission has to be cut urgently, facing the global warming and extreme climate. Currently, few studies on the urban energy consumption in total have been performed, especially the quantitative research on the scale of urban blocks, which is actually required by cities, in order to adopt precise control, optimize energy structure and reduce carbon emissions. It is time for joint action of the four sectors to accurately calculate synthesized energy consumption of each region, realize spatial energy consumption visualization, and formulate energy reduction targets and strategies more accurately. This paper has taken Jingmen, a resource-based city, as a case city. It quantitatively analyzed the spatial data affecting carbon emissions in transportation, industry, and construction sectors, respectively and discussed the impact of urbanization and industrialization on urban energy consumption. It is found that the continuous growth of energy consumption in the industrial sector has been the main driving factor for the city’s total energy consumption growth. The energy consumption of Jingmen showed a trend of increase and concentration. The conclusions can fill up the problems that cannot be found in the energy consumption statistics of cities, and propose a more accurate way to reduce energy consumption in Jingmen City, which provide a reference for the green transformation of similar small and medium-sized resource-based cities.

Published in	International Journal of Economy, Energy and Environment (Volume 6, Issue 6)
DOI	10.11648/j.ijeee.20210606.14
Page(s)	164-173
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Climate Change, Energy Consumption, Night-Time Remote Sensing, Urbanization, Spatial Data, POI

References

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APA Style

Gao Nannan, Li Fen. (2021). Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data. International Journal of Economy, Energy and Environment, 6(6), 164-173. https://doi.org/10.11648/j.ijeee.20210606.14

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ACS Style

Gao Nannan; Li Fen. Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data. Int. J. Econ. Energy Environ. 2021, 6(6), 164-173. doi: 10.11648/j.ijeee.20210606.14

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AMA Style

Gao Nannan, Li Fen. Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data. Int J Econ Energy Environ. 2021;6(6):164-173. doi: 10.11648/j.ijeee.20210606.14

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@article{10.11648/j.ijeee.20210606.14,
  author = {Gao Nannan and Li Fen},
  title = {Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data},
  journal = {International Journal of Economy, Energy and Environment},
  volume = {6},
  number = {6},
  pages = {164-173},
  doi = {10.11648/j.ijeee.20210606.14},
  url = {https://doi.org/10.11648/j.ijeee.20210606.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijeee.20210606.14},
  abstract = {Climate change has become a major global environmental issue that is widely concerned by countries around the world. It has been a very clear scientific consensus that the global carbon emission has to be cut urgently, facing the global warming and extreme climate. Currently, few studies on the urban energy consumption in total have been performed, especially the quantitative research on the scale of urban blocks, which is actually required by cities, in order to adopt precise control, optimize energy structure and reduce carbon emissions. It is time for joint action of the four sectors to accurately calculate synthesized energy consumption of each region, realize spatial energy consumption visualization, and formulate energy reduction targets and strategies more accurately. This paper has taken Jingmen, a resource-based city, as a case city. It quantitatively analyzed the spatial data affecting carbon emissions in transportation, industry, and construction sectors, respectively and discussed the impact of urbanization and industrialization on urban energy consumption. It is found that the continuous growth of energy consumption in the industrial sector has been the main driving factor for the city’s total energy consumption growth. The energy consumption of Jingmen showed a trend of increase and concentration. The conclusions can fill up the problems that cannot be found in the energy consumption statistics of cities, and propose a more accurate way to reduce energy consumption in Jingmen City, which provide a reference for the green transformation of similar small and medium-sized resource-based cities.},
 year = {2021}
}

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TY  - JOUR
T1  - Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data
AU  - Gao Nannan
AU  - Li Fen
Y1  - 2021/12/29
PY  - 2021
N1  - https://doi.org/10.11648/j.ijeee.20210606.14
DO  - 10.11648/j.ijeee.20210606.14
T2  - International Journal of Economy, Energy and Environment
JF  - International Journal of Economy, Energy and Environment
JO  - International Journal of Economy, Energy and Environment
SP  - 164
EP  - 173
PB  - Science Publishing Group
SN  - 2575-5021
UR  - https://doi.org/10.11648/j.ijeee.20210606.14
AB  - Climate change has become a major global environmental issue that is widely concerned by countries around the world. It has been a very clear scientific consensus that the global carbon emission has to be cut urgently, facing the global warming and extreme climate. Currently, few studies on the urban energy consumption in total have been performed, especially the quantitative research on the scale of urban blocks, which is actually required by cities, in order to adopt precise control, optimize energy structure and reduce carbon emissions. It is time for joint action of the four sectors to accurately calculate synthesized energy consumption of each region, realize spatial energy consumption visualization, and formulate energy reduction targets and strategies more accurately. This paper has taken Jingmen, a resource-based city, as a case city. It quantitatively analyzed the spatial data affecting carbon emissions in transportation, industry, and construction sectors, respectively and discussed the impact of urbanization and industrialization on urban energy consumption. It is found that the continuous growth of energy consumption in the industrial sector has been the main driving factor for the city’s total energy consumption growth. The energy consumption of Jingmen showed a trend of increase and concentration. The conclusions can fill up the problems that cannot be found in the energy consumption statistics of cities, and propose a more accurate way to reduce energy consumption in Jingmen City, which provide a reference for the green transformation of similar small and medium-sized resource-based cities.
VL  - 6
IS  - 6
ER  -

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Author Information

Gao Nannan

Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China
Li Fen

Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China

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Plain Text BibTeX RIS

APA Style

Gao Nannan, Li Fen. (2021). Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data. International Journal of Economy, Energy and Environment, 6(6), 164-173. https://doi.org/10.11648/j.ijeee.20210606.14

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ACS Style

Gao Nannan; Li Fen. Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data. Int. J. Econ. Energy Environ. 2021, 6(6), 164-173. doi: 10.11648/j.ijeee.20210606.14

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AMA Style

Gao Nannan, Li Fen. Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data. Int J Econ Energy Environ. 2021;6(6):164-173. doi: 10.11648/j.ijeee.20210606.14

Copy | Download

@article{10.11648/j.ijeee.20210606.14,
  author = {Gao Nannan and Li Fen},
  title = {Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data},
  journal = {International Journal of Economy, Energy and Environment},
  volume = {6},
  number = {6},
  pages = {164-173},
  doi = {10.11648/j.ijeee.20210606.14},
  url = {https://doi.org/10.11648/j.ijeee.20210606.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijeee.20210606.14},
  abstract = {Climate change has become a major global environmental issue that is widely concerned by countries around the world. It has been a very clear scientific consensus that the global carbon emission has to be cut urgently, facing the global warming and extreme climate. Currently, few studies on the urban energy consumption in total have been performed, especially the quantitative research on the scale of urban blocks, which is actually required by cities, in order to adopt precise control, optimize energy structure and reduce carbon emissions. It is time for joint action of the four sectors to accurately calculate synthesized energy consumption of each region, realize spatial energy consumption visualization, and formulate energy reduction targets and strategies more accurately. This paper has taken Jingmen, a resource-based city, as a case city. It quantitatively analyzed the spatial data affecting carbon emissions in transportation, industry, and construction sectors, respectively and discussed the impact of urbanization and industrialization on urban energy consumption. It is found that the continuous growth of energy consumption in the industrial sector has been the main driving factor for the city’s total energy consumption growth. The energy consumption of Jingmen showed a trend of increase and concentration. The conclusions can fill up the problems that cannot be found in the energy consumption statistics of cities, and propose a more accurate way to reduce energy consumption in Jingmen City, which provide a reference for the green transformation of similar small and medium-sized resource-based cities.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Spatial Quantitative Analysis of Urban Energy Consumption Based on POI and Night-Time Remote Sensing Data
AU  - Gao Nannan
AU  - Li Fen
Y1  - 2021/12/29
PY  - 2021
N1  - https://doi.org/10.11648/j.ijeee.20210606.14
DO  - 10.11648/j.ijeee.20210606.14
T2  - International Journal of Economy, Energy and Environment
JF  - International Journal of Economy, Energy and Environment
JO  - International Journal of Economy, Energy and Environment
SP  - 164
EP  - 173
PB  - Science Publishing Group
SN  - 2575-5021
UR  - https://doi.org/10.11648/j.ijeee.20210606.14
AB  - Climate change has become a major global environmental issue that is widely concerned by countries around the world. It has been a very clear scientific consensus that the global carbon emission has to be cut urgently, facing the global warming and extreme climate. Currently, few studies on the urban energy consumption in total have been performed, especially the quantitative research on the scale of urban blocks, which is actually required by cities, in order to adopt precise control, optimize energy structure and reduce carbon emissions. It is time for joint action of the four sectors to accurately calculate synthesized energy consumption of each region, realize spatial energy consumption visualization, and formulate energy reduction targets and strategies more accurately. This paper has taken Jingmen, a resource-based city, as a case city. It quantitatively analyzed the spatial data affecting carbon emissions in transportation, industry, and construction sectors, respectively and discussed the impact of urbanization and industrialization on urban energy consumption. It is found that the continuous growth of energy consumption in the industrial sector has been the main driving factor for the city’s total energy consumption growth. The energy consumption of Jingmen showed a trend of increase and concentration. The conclusions can fill up the problems that cannot be found in the energy consumption statistics of cities, and propose a more accurate way to reduce energy consumption in Jingmen City, which provide a reference for the green transformation of similar small and medium-sized resource-based cities.
VL  - 6
IS  - 6
ER  -

Copy | Download