| 城市街区三维空间形态对碳排放的影响机制 |
| 摘要点击 254 全文点击 20 投稿时间：2024-05-11 修订日期：2024-07-02 |
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| 中文关键词 城市街区 三维空间形态 碳排放 多尺度地理加权回归（MGWR） 多源数据 |
| 英文关键词 urban block three-dimensional urban morphology CO2 emissions multiscale geographically weighted regression （MGWR） multi-source data |
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| 中文摘要 |
| 城市街区是城市规划和碳排放精细化管理的基础单元,探究城市街区三维空间形态对碳排放的影响,对实现“双碳”目标和城市可持续发展具有重要意义.然而,当前相关研究的空间尺度多集中在区域和城市尺度,街区尺度下三维空间形态对碳排放的影响机制尚不清晰.综合利用夜间灯光、土地利用和能源消费等数据,以街区为基本单元,估算城市碳排放总量的空间分布.然后叠加紧凑度和复杂度等城市三维空间形态指标,采用多尺度地理加权回归模型,探究街区三维空间形态对碳排放的影响机制.结果表明：①2020年杭州市主城区各街区单元的碳排放总量约为5 088.75万t；2020年平均碳排放强度约为30 456.49 t·km-2；②街区三维空间形态呈现4种空间分布模式：内聚圈层模式、外高内低模式、环状分布模式和南高北低模式,体现出杭州市主城区中心区域的空间紧凑度较高,外围区域的空间不规则度和形态复杂度较大,空间紧凑度较低的特点；③城市空间扩张和空间不规则度对碳排放具有正向影响,空间复杂度对碳排放具有负向影响,空间紧凑度对碳排放具有双重影响. |
| 英文摘要 |
| Urban blocks are the basic unit of urban planning and fine management of carbon emissions. Investigating the interplay between urban morphology and carbon emissions holds notable implications for achieving carbon peak and carbon neutrality targets, as well as for urban sustainable development. However, most of the current research focuses on the regional and urban scales, and the influence mechanism of three-dimensional urban morphology on carbon emissions at the urban block scale remains unclear. Taking the main urban area of Hangzhou as an example, this study first estimated the spatial distribution of total urban carbon emissions at the scale of urban blocks by integrating nightlight, land use, and energy consumption data. Then, we calculated and superimposed the three-dimensional urban morphology indicators of these blocks and employed multiscale geographically weighted regression （MGWR） to explore the impact of block three-dimensional urban morphology on carbon emissions. The results showed that： ① The total CO2 emissions from urban blocks in Hangzhou's main urban area were 50.88 million tons, with an average CO2 emission intensity of 30 456.49 t·km-2 in 2020. ② The three-dimensional urban morphology of blocks exhibited four spatial distribution patterns： cohesive ring-layer pattern, outer high-inner low pattern, ring distribution pattern, and south high-north low pattern. This indicates that the central area of Hangzhou's main urban area had higher spatial compactness, whereas the outer areas exhibited greater spatial irregularity and complexity in buildings. ③ Spatial extension and spatial irregularity had a positive effect, whereas spatial complexity had a negative effect. Spatial compactness had a dual effect on carbon emissions. |
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