溫室氣體自工業革命以來大量成長，其中又以二氧化碳影響最大，造成溫室效應現象、生態系統改變、生物多樣性驟減、氣候變遷異常等問題，對於全球氣候負面影響多面且巨大，而從國際相關條約亦可得知二氧化碳排放減量之急迫性。目前國際間針對二氧化碳排放與減量措施多僅侷限在能源政策及產業結構部門，殊少從都市空間規劃之角度切入，探討土地使用配置與都市活動對於二氧化碳濃度之影響，因此本研究嘗試透過實地量測嘉義市二氧化碳濃度值，並利用空間自相關分析與群落分析法進行都市土地使用與二氧化碳濃度關係之探討。並針對土地使用類型、強度與碳濃度關係建立假說，加以驗證都市土地使用內容、強度與碳濃度之間具有關聯性；土地使用誘發旅次需求，產生運輸活動使得土地使用的發展得以連繫並延續，且在過程中直接排放了二氧化碳，對於碳排放影響是立即且較為顯著的，故本研究最後選取與土地使用密切相關的運輸部門，進行綠色運輸政策情境模擬，以檢視在政策之執行下對於空間減碳效益之短期成效。最後得出主要結論有：
　　1.二氧化碳於都市空間中具有空間聚集性，且在市中心與外圍農業使用地區因活動同質性高，呈現高度相關現象。
　　2.市中心因人口與活動的密集，其單位面積排放量較高，呈現聚集之現象，與平均碳濃度對照亦可證明其碳濃度較高之情形；市中心外圍則因活動強度不如市中心般強且密集，故碳濃度下降；在嘉義市最外圍的地區，多為農地使用，有部分居住、產業活動散佈其中，導致其產業活動單位面積排放量仍佔有一定比例，但因其大範圍的開放空間使得其碳濃度仍為最低。
　　3.經假說驗證結果顯示土地使用強度愈高其碳濃度愈高，以及土地使用類型確實對於碳濃度有所影響，而移動性排放源交通碳排對於碳濃度之影響亦有某種程度的關聯性。惟因影響碳濃度之因素並非單一的，而是多元且複雜的，特別是空間區位因素，故碳濃度與土地使用類型或發展強度的關係雖為絕對關係，但納入空間區位特性後即轉變為相對關係。
　　4.綠色運輸政策實施模擬結果顯示，在政策實施後確實對於碳排放具有減緩效益，但對於碳濃度較高之市中心地區則成效較不明顯，故政策執行重點建議可以針對重點地區（碳濃度較高之地區）進行規劃，以舒緩當地碳濃度帶來之負面影響。
　　本研究乃為土地使用與碳濃度關聯性的初探研究，自永續都市發展之觀點出發，探討都市環境碳減量之重要性，並進行土地使用與碳濃度之關聯性研究，最後驗證二者確實具有關聯性，都市土地使用所引發的各類活動，對於能源消耗與碳排放量會有所影響。又都市活動中的運輸活動乃因不同土地使用與活動所誘發產生之需求，而運輸活動的進行係以直接碳排放為主，對於碳濃度之聚集具有影響性。本研究藉由綠色運輸政策之模擬，亦驗證了都市土地使用與交通運輸政策的結合，有助於二氧化碳減量工作的進行。本研究之結果可供未來土地使用規劃進行時作為參考，考量土地使用與交通運輸二者間之關係，藉由二者之適當結合，則可達到私人機動運具轉移至綠色運具使用、減少旅次需求、降低旅次長度之目標，進而減少能源消耗量，達到二氧化碳減量之目的。

　　Greenhouse gases have been increasing massively since the Industrial Revolution, especially carbon dioxide(CO2), which cause many environmental issues such as greenhouse effect phenomenon, ecosystem change, biological diversity reduction, climate change. Such negative effects on global climate are huge and multi-faceted, and we can learn from the international treaties about the urgency of CO2 emission reductions. At present the international community takes measures for the volume of CO2 emissions and reduction which is limited to the energy policy and industrial sectors. Besides, few people will do the research and discuss from the point of urban spatial planning to analyze the impact of the land-use configuration and urban activities on CO2 concentration. Thus, the research attempted to find out the relationship between urban activities and CO2 concentration through field measurements, spatial autocorrelation analysis and cluster analysis, contrasted to land use types in Chiayi City. The research also establishes the hypotheses which is to verify if there’s correlation between urban land use types, intensity and the concentration of CO2. The final section is scenario simulation which is to examine the carbon reduction effectiveness under the green transportation strategies. Finally we got the conclusion as listed below:
　　1.Through spatial autocorrelation analysis, the result yields that the CO2 concentration has the trait of spatial clustering in urban space. The concentration of CO2 in the downtown of Chiayi City has a relatively strong positive correlation of spatial features, which might results from the similar land use types or dense urban activities.
　　2.CO2 is concentrated in the center of the city because of the high intensity of human and activities, and it’s relatively less intensive of urban activities in the periphery of the city which leads to lower CO2 emission. In the outlying areas of the city, there’s a large area of agricultural land and woodlands which contributes to the effect of CO2 absorption obviously. Even though there are some human activities among there, it still shows the lowest concentration of CO2.
　　3.Through the hypothesis verification which shows that the higher intensity of activities leads to higher concentration of CO2, and the land use type does affect it as well. Besides, the mobile emission source like vehicles also has a direct effect on CO2 concentration. However, the factors which affect the concentration of carbon are multiple and complex, especially the spatial location. So taking those factors into consideration, the relation between CO2 concentration and the land-use types or the intensity of development will become uncertain.
　　4.The scenario simulation of Green Transportation Strategies shows that the implementation of those strategies is indeed effective for carbon reduction, but the effectiveness in the center area of city which has higher concentration of CO2 is less obvious. So one recommendation of decreasing the negative effect of CO2 concentration from this research is to implement this policy to the area which with higher concentration of carbon.
　　The goal of the research is to find out the interaction between urban land use and CO2 concentration. Transportation activities are generated from the different land use and activities, which produce carbon emissions directly that might have impact on CO2 concentration. In this study, the simulation of Green Transportation Strategies shows the effectiveness of CO2 reduction by combining transport policy with land use planning. The results of this study could be the reference for the future land use planning. In order to achieve the goal of reduction on energy consumption and CO2 emission, we suggest taking the relationship between land use and transportation into consideration, and creating a mode switching from private motors to green vehicles, which can reduce travel demand and the distance of trip.

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