Research And Analysis Of Spatial Effects Of Urban Vitality On Carbon Emission By Integrating Multi-source Data

China’s urbanization process has not yet been completed and is still in a rapid development stage.On the one hand,China’s growth pattern of high energy consumption,high emissions and high pollution leads to a serious intensification of the urban greenhouse effect.On the other hand,the quality of China’s urbanization is uneven,with some regions attaching importance to economic growth but neglecting development quality,and cities lacking the necessary vitality.Urbanization profoundly impacts the global carbon cycle and climate change in the context of“double carbon”.Many studies have shown that both urban vitality and urban carbon emissions are deeply affected by spatial planning and city structure.However,the specific relationship between urban vitality and urban carbon emissions is rarely studied.This thesis takes Xuzhou as the study area and construct an urban vitality index system from five aspects:social,economic,cultural,environmental and spatial,based on multi-source data such as Normalized Vegetation Index（NDVI）,Open Street Map（OSM）and Open-source Data Inventory for Anthropogenic CO₂（ODIAC）.The spatial distribution characteristics of urban vitality are analyzed by combining models such as the Spatial Syntax method and the Technique for Order Preference by Similarity to Ideal Solution（TOPSIS）model.The relationship between the spatial distribution characteristics of urban vitality and urban carbon emissions is explored.Further,the influence of urban vitality creation elements on the distribution of urban carbon emissions is analyzed.The specific content is divided into the following three aspects:（1）Construction of urban vitality index system.After quantifying and normalizing the data,each indicator is obtained by combining spatial syntax and Hill number model.The entropy TOPSIS model is used to construct the urban vitality indicator system from five aspects:social,economic,cultural,environmental and spatial,so as to realize the multi-perspective urban vitality evaluation.（2）Spatial distribution characteristics of urban vitality and carbon emissions.Based on ODIAC data and urban vitality evaluation results,the spatial distribution characteristics of different vitality and urban carbon emissions are analyzed.The commonness and difference among different vitality are analyzed by using spatial autocorrelation method,and the relationship between different vitality and urban carbon emissions spatial distribution characteristics is summarized.（3）Detection of influencing factors of urban carbon emissions.Geodetector is used to explore the effect mechanism of different urban vitality building factors on the spatial distribution characteristics of urban carbon emissions,and factor interaction detection analysis is carried out to analyze the results of interaction between each influence factor.The results show that Xuzhou shows obvious spatial differences in urban vitality,mainly decreasing from the center to the surrounding areas,with a small vitality center in the northeast.In addition,the impact of different vitality on urban carbon emissions is apparently different.Social vitality and urban carbon emissions are significantly positively correlated（Moran’s I=0.5）,followed by economic vitality（Moran’s I=0.375）,cultural vitality（Moran’s I=0.133）and spatial vitality（Moran’s I=0.121）.However,environmental vitality and urban carbon emissions are significantly negatively correlated（Moran’s I=-0.628）.Facilities’aggregation has the weakest explanatory power for urban carbon emissions（q=0.15735）,while the NDVI has the highest explanatory power（q=0.4524）.