低碳导向的浙江省新增建成区土地利用效率空间格局与分区调控

    Spatial patterns and zoning regulation of land use efficiency in newly built-up areas of Zhejiang Province in China under low-carbon orientation

    • 摘要: 科学测度低碳导向下城市新增建成区的土地利用效率并实现分区调控,同时揭示多维因素在不同分区对土地利用效率的差异性影响,对城市实现低碳转型具有重要意义。鉴于此,以浙江省为例,基于“经济-环境”复合视角在斑块尺度构建城市新增建成区土地利用效率测度模型,利用标准差椭圆分析其空间格局,通过“经济-环境”耦合的二维矩阵对其进行调控分区,采用地理探测器探究其影响因素。结果表明:1)浙江土地利用经济效率均值为0.74,高值区集中在浙江北部四市交界处和宁波中部,低值区在浙江南部形成多个中小型组团。土地利用碳排放效率均值为0.77,在空间上形成“高值区集聚、低值区分散”的格局。2)将城市新增建成区分为4种类型:低碳发展区面积占比为59.12%,呈“大集聚、小分散”块状格局;减排增效区面积占比最低,仅为8.30%;低碳示范区在空间上与减排增效区相互交错,零散分布;绿色转型区呈集中分布态势。3)功能配置要素在低碳发展区、减排增效区和低碳示范区对经济效率均有较大影响。在绿色转型区,交通建设和公共服务要素的影响力较高。对碳排放效率而言,不同维度要素的影响力排序受到区域差异的显著影响。城市多元主体应针对不同类型城市新增建成区采取对应措施,合理提高其经济效率并有效降低碳排放效率,促进城市减排增效。

       

      Abstract: Low-carbon transition is often required in the context of the carbon emission peak and carbon neutrality goals at present. It is very necessary to measure the land use efficiency of the urban expansion areas. Zoning regulations can also be used to clarify the differential effects of the multidimensional factors on the land use efficiency in different zones of cities. Previous studies have focused mainly on the urban land use efficiency. However, three limitations still remain to be solved: the spatial heterogeneity of the land use efficiency within cities, the differential impacts of the multidimensional factors on the land use efficiency, and the regional strategies for the different types of urban patches at the micro scale. In this research, a patch-scale model was constructed to measure the land use efficiency in the urban expansion areas, from an “economy-environment” perspective. Zhejiang Province was taken as an example. Its spatial patterns were also analyzed using standard deviation ellipses. Four types were then classified using a two-dimensional matrix coupled with the “economy-environment”. A systematic investigation was made to explore its influencing factors using Geodetector. The results showed that: 1) The average economic efficiency of the land use was 0.74 in Zhejiang Province. High-value areas were concentrated in the intersection of four cities in northern Zhejiang and central Ningbo. While the low-value areas were formed, the multiple small and medium-sized clusters were in southern Zhejiang. The average carbon emission efficiency was 0.77. The spatial pattern was characterized by the concentration in the high-value areas and the dispersion in the low-value ones. 2) The urban expansion in Zhejiang Province was classified into four types according to the matching relationship between the economy and carbon emission efficiency. The low-carbon development zones accounted for 59.12% of the total area. There was a block pattern of the “large agglomeration and small dispersion”. The emission reduction and efficiency enhancement zones accounted for the lowest proportion (8.30%) of the land area. Most zones were concentrated in the belt area composed of Jiaxing, Hangzhou, Ningbo, and Zhoushan. The low-carbon demonstration zones were interwoven with the emission reduction and efficiency enhancement zones. The green transformation zones were dominated mainly by early urban expansion patches during the study period. There was a distribution pattern in a centralized manner. Two large clusters were centered on the urban areas of Hangzhou and Ningbo, with less distribution in the mountainous counties in southern Zhejiang. 3) The functional configuration elements shared a significant impact on the economic efficiency of the land use in the low-carbon development, emission reduction, and efficiency enhancement, as well as low-carbon demonstration zones. In the green transformation zone, the transportation construction and public service elements also exerted a greater influence than the rest. In terms of the carbon emission efficiency of land use, the spatial structure elements shared significant influences in the low-carbon development zones. The functional configuration was the core driving factor for the carbon emission efficiency of the land use in the emission reduction and efficiency enhancement zones, as well as the green transformation zones. Furthermore, there were relatively strong impacts of the transportation construction factor in the low-carbon demonstration zones. In conclusion, the urban measures can be tailored to the different types of urban expansion areas, in order to improve their economic efficiency for less carbon emission, thereby promoting the low-carbon transformation in cities.

       

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