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    https://www.riss.kr/link?id=A99878753

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The purpose of this study is to analyze the effects of urban spatial structure characteristics on CO₂ emission. For this purpose, this study compare and analyze urban forms efficient for CO₂ emission, and seek policy and policy mix for efficient CO₂ reduction. For this, 72 cities were classified into four different types of urban form such as monocentric-concentration city, polycentric-concentration city, monocentric- decentralized city, and polycentric-decentralized city. And case city was selected from each type of cities for statistical analysis and system dynamics simulation. Findings from the analysis are as follows.First, population density, mixed land use, average commuting distance per capita, the ratio of apartment houses, and the ratio of green space volume has negative(-) effects on CO₂ emission per capita, while the ratio of secondary industries, the city areas, the number of car registration per capita, and the amount of waste generation per capita has positive(+) effects on CO₂ emissions per capita.Second, system dynamics simulation shows that the most efficient urban form in reducing CO₂ emission per capita is in the order of monocentric-concentration city(Wonju-si, 5.94 tons), polycentric-concentration city(Iksan-si, 6.57 tons), a monocentric-decentralized city(Gyeongsan-si, 8.49 tons), and polycentric-decentralized city(Pyeongtaek-si, 10.21 tons). And the most efficient policy tool to reduce CO₂ emission was analyzed as technology development -> high density development -> mixed land use -> increasing green space policy in the order of priority.Third, with regard to the competing argument on pros and cons of the effect of high-density, mixed development on CO₂ emission, according to the result of system dynamics simulation, it was proved that increasing the development density and mixed land use lead to decreased number of car users, increased number of public transportation users, and thereby reducing CO₂ emission from the traffic sector in all types of cities.Lastly, it was found that the policy mix to achieve the 30% of CO₂ emission reduction target by the year 2020 was different for each type of urban forms, indicating that different policy needs to be adopted for different urban forms.
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    The purpose of this study is to analyze the effects of urban spatial structure characteristics on CO₂ emission. For this purpose, this study compare and analyze urban forms efficient for CO₂ emission, and seek policy and policy mix for efficient C...

    The purpose of this study is to analyze the effects of urban spatial structure characteristics on CO₂ emission. For this purpose, this study compare and analyze urban forms efficient for CO₂ emission, and seek policy and policy mix for efficient CO₂ reduction. For this, 72 cities were classified into four different types of urban form such as monocentric-concentration city, polycentric-concentration city, monocentric- decentralized city, and polycentric-decentralized city. And case city was selected from each type of cities for statistical analysis and system dynamics simulation. Findings from the analysis are as follows.First, population density, mixed land use, average commuting distance per capita, the ratio of apartment houses, and the ratio of green space volume has negative(-) effects on CO₂ emission per capita, while the ratio of secondary industries, the city areas, the number of car registration per capita, and the amount of waste generation per capita has positive(+) effects on CO₂ emissions per capita.Second, system dynamics simulation shows that the most efficient urban form in reducing CO₂ emission per capita is in the order of monocentric-concentration city(Wonju-si, 5.94 tons), polycentric-concentration city(Iksan-si, 6.57 tons), a monocentric-decentralized city(Gyeongsan-si, 8.49 tons), and polycentric-decentralized city(Pyeongtaek-si, 10.21 tons). And the most efficient policy tool to reduce CO₂ emission was analyzed as technology development -> high density development -> mixed land use -> increasing green space policy in the order of priority.Third, with regard to the competing argument on pros and cons of the effect of high-density, mixed development on CO₂ emission, according to the result of system dynamics simulation, it was proved that increasing the development density and mixed land use lead to decreased number of car users, increased number of public transportation users, and thereby reducing CO₂ emission from the traffic sector in all types of cities.Lastly, it was found that the policy mix to achieve the 30% of CO₂ emission reduction target by the year 2020 was different for each type of urban forms, indicating that different policy needs to be adopted for different urban forms.

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