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作 者:满洲 赵荣钦[1] 袁盈超 冯德显[2] 杨青林[1] 王帅[1] 杨文娟
机构地区:[1]华北水利水电大学资源与环境学院,郑州450045 [2]河南省科学院地理研究所,郑州450052
出 处:《人文地理》2018年第1期70-75,共6页Human Geography
基 金:教育部人文社科项目(17YJCZH257);国家自然科学基金项目(41301633);华北水利水电大学教学名师培育计划资助项目
摘 要:建立低碳城市发展模式和都市空间结构是当前城市规划的重要实践内容之一。结合对南京市江宁区典型居住区的调研数据,文章初步分析了城市居住区周边土地混合度对通勤交通碳排放的影响。结果表明:(1)城市中心区土地混合度与通勤交通碳排放呈高度负相关;(2)在通勤交通碳排放中,私家车通勤碳排放占主导地位;(3)不同小区居民通勤交通碳排放呈现明显差别,城市中心区居民低碳排通勤交通方式特征显著,而城郊居民通勤方式呈现高碳排特征;(4)城市中心区土地混合度与低碳出行比例呈高度正相关。未来,应适当提高各城市功能区土地混合度,改善居民的通勤结构,进而减少通勤交通产生的碳排放,构建低碳城市。Presently, China is facing severe international pressure to reduce carbon emissions. Reducing commuter traffic carbon emissions is necessary and important for our country's development and construction. Building low carbon urban development patterns and urban spatial structure is one important part of urban planning. Paper combines the survey data of the Nanjing Jiangning district land using status and commuter traffic data, using calculation formula of information entropy measure out research regional land-mixing de- gree, determining 5 types of land use patterns which have higher impact on the carbon emissions of commut- er traffic and analyzing the influence of urban functional land-mixing degree on the carbon emission of com- muting traffic. Results show that: 1) Land-mixing degree of Central District (as opposed to suburban) is highly negatively correlated with carbon emissions of commuter transport. 2) In carbon emissions of commuter traffic, private car commuting emissions are dominant. 3) Different community residents commuting traffic carbon emissions showed significant differences, urban center residents' low carbon emissions of commuting traffic patterns were significantly, while the suburban residents' commuting patterns showed high carbon emission characteristics. 4) Land-mixing degree of central district (as opposed to suburban) was highly corre- lated with low-carbon travel.
分 类 号:K901[历史地理—人文地理学]
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