Optimization path of carbon offsetting in negative urban spaces under dual carbon goals

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY Journal of Computational Methods in Sciences and Engineering Pub Date : 2023-12-15 DOI:10.3233/jcm-226997
Hong Jiao, Lei Bao
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Abstract

Using population geographic data to analyze the dynamics of the central urban to explore the negative space and implement green carbon offset retrofits is beneficial for the Dual Carbon goals. We construct a grading system of urban vitality values with ArcGIS to assess the vitality of city blocks and screen out negative spaces. Taking the central urban of Anda as an example, we found that the vitality values along the main road in Anda were high. In contrast, the vitality values of residential sites in the southern and western parts were generally low. By analyzing the distribution of negative space in Anda, we finally recommend that Anda adopt the strategy of “fertile land creation” for the western part, to practice the planning of urban green space projects with joint investment of factories in the southern part, to optimize the low-carbon urban travel space, to implement the green transformation of small negative urban spaces, and to enhance the ecological construction of existing parks and green spaces. We extracted the negative urban spaces and explored the paths and implementability of the carbon offsetting renewal strategies intending to provide some reference for realizing Dual Carbon goals and transforming negative urban spaces in China.
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双碳目标下城市负空间碳补偿的优化路径
利用人口地理数据分析中心城区的动态,挖掘负面空间,实施绿色碳补偿改造,有利于实现双碳目标。我们利用 ArcGIS 构建了城市活力值分级系统,以评估城市街区的活力,筛选出负面空间。以安达中心城区为例,我们发现安达主干道沿线的活力值较高。相比之下,南部和西部住宅用地的活力值普遍较低。通过对安达市负空间分布的分析,我们最终建议安达市在西部地区采取 "沃土营造 "战略,在南部地区实践工厂联合投资的城市绿地项目规划,优化城市低碳出行空间,实施城市小型负空间的绿色改造,加强现有公园绿地的生态建设。我们提取城市负空间,探索碳补偿更新策略的路径和可实施性,以期为中国实现双碳目标、改造城市负空间提供一些参考。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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