| Summary: | 碩士 === 國立成功大學 === 都市計劃學系碩博士班 === 98 === 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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