摘要：利用2015年江苏省13个地级市的城市能源消耗数据和城市土地利用相关数据， 借助ArcGIS和SPSS软件，计算了江苏省13个地级市的碳排放量、碳排放强度、城市空间的紧凑度，在此基础上，利用回归模型分析了城市规模、城市格局、城市空间结构等城市空间形态对城市碳排放的影响。结论如下：（1）城市规模中城市人口的增多和集聚使得城市的碳排放量显著增大；（2）城市空间格局中的城市的紧凑度，没有显著显示出对降低碳排放量的影响；（3）城市结构中的客运和货运量越大，城市的碳排放量就越高，而人均绿地、人均面积的扩大则有利于降低城市的碳排放；（4）目前而言，城市规模、城市结构这两个要素，对碳排放的影响比城市空间格局的要大。它们各自包括的要素对城市的碳排放的作用方向和影响强度各不相同。93464

毕业论文关键字：城市空间形态；碳排放；紧凑度；江苏省

Abstract：This research is, based on the data of the urban energy consumption and urban land use of 13 prefecture level cities in Jiangsu province in 2015 , by adopting the the ArcGIS and SPSS software and the regression analysis, to calculate The carbon emissions, carbon emission intensity and the compactness of urban space ,and furthermore to research the effects of urban spatial form, such as city size, urban structure and urban spatial structure to urban carbon emissions。 The study results show that: (1)The increase and the agglomeration of urban population make the carbon emission of the city increase significantly;(2)The compactness of urban spatial pattern has no significant effect on reducing carbon emissions;(3)The larger the volume of passenger and freight traffic in urban structure, the higher the carbon emissions of the city, while the per capita green space, the expansion of per capita area is conducive to reducing the city's carbon emissions;(4)At present, the city size, urban structure of these two elements, the impact of carbon emissions than the urban spatial pattern of the larger, and their respective elements of the role of the direction of the city's carbon emissions and the impact of different intensity。来自优O尔P论R文T网WWw.YoueRw.com 加QQ7520`18766

Keywords：Urban space form; Carbon emission; Compactness; Jiangsu Province

 目   录

摘要 4

关键字 4

Abstract 5

Keywords 5

1．前言 6

2。研究的区域和方法 6

2。1研究的区域 6

2。2数据的来源和计算方法 7

3。各要素与城市碳排放的关系 11

3。1城市形态要素对碳排放影响回归分析 11

3。2城市形态要素对碳排放影响的结果分析 12

4。对策建议 13

4。1关于城市人口和GDP如何降低碳排放的对策 13

4。2关于人均绿地面积如何降低碳排放的对策 13

4。3关于客运和货运如何降低碳排放的对策 13

4。4关于人均道路面积如何降低碳排放的对策 14

结论 15

参考文献 16

致谢 17 

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