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

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.