雙北土地使用型態與建築用電碳排放空間關聯之研究

A Study on the Spatial Correlation Between Land Use and the Carbon Emission of Building Electricity Consumption in Taipei Metropolis

全球正因氣候變遷所帶來的災害而思考碳排放減量與空間調適相關策略。於既有探討都市碳排放的文獻中，鮮少討論都市土地使用型態與建築用電碳排放的空間關聯與群聚現象，因此都市規劃者無法透過其二氧化碳排放情形有效探討都市調適策略。故本研究以臺北市及新北市為實證地區，首先分析土地使用型態與建築用電碳排放之相關性，並利用主成分迴歸分析瞭解不同土地使用型態變數對用電碳排放之影響程度差異。再藉由空間自相關分析，探討臺北市及新北市之碳排放是否存在空間群聚現象。最後，透過碳排放之空間群聚特性與都市發展政策進行比較分析，提出都市低碳空間規劃策略之討論。本研究分析結果顯示，土地使用型態變數（商業、純住宅、混合住宅、政府機關、學校、醫療）與建築用電碳排放皆呈現顯著相關，各土地使用型態對碳排放的影響程度大至小依序為：醫療使用、政府機關使用、商業使用、混合使用住宅、學校、純住宅。而臺北市與新北市之碳排放確實具有空間群聚現象。研究結果可為未來都市規劃與土地使用調整之參考。

As a result of the disasters caused by climate change, the issue of how to reduce urban carbon emissions through the planning and design of the built environment is becoming increasingly significant in urban planning. However, he spatial correlation between land use and the carbon emission of building electricity consumption is rarely mentioned in the existing literature on urban carbon emissions, so urban planners cannot provide cities with adequate adjustments through their carbon emissions with a purpose of reducing urban carbon emissions. As a result, this study employs Taipei City and New Taipei City as the empirical area. In the beginning, analyzing the relationship between land use and carbon emissions from building electricity consumption, and the principal component regression analysis was used as a way to understand the differences in the influence of land use variables on carbon emissions from electricity, and thus the carbon emission regression equation of land use was obtained, allowing the carbon emissions in the study area to be calculated. The researchers performed spatial autocorrelation analysis to see if there is any spatial clustering of carbon emissions in Taipei City and New Taipei City. Finally, a discussion of urban low-carbon spatial planning strategies is proposed based on a comparison of the spatial clustering characteristics of carbon emissions and urban development policies. The results of this study found that land use variables (commercial, residential, mixed residential, government agencies, schools, and medical) were significantly correlated with the carbon emissions of building electricity consumption. In Taipei City and New Taipei City, medical use has the greatest impact on the carbon emissions of electricity, while residential use has the least impact. The spatial clustering of carbon emissions in Taipei City and New Taipei City is a phenomenon. Future urban planning and land use adjustment can use the study results as a reference.