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以武汉为例,结合问卷调查和基础地理空间数据,计算样本家庭日常交通出行碳排放量。然后分析交通设施便利度与家庭日常交通出行碳排放的关系,并分析社会经济属性的影响。结果表明:全市层面,公交线路条数越多,交通出行碳排放越低;考虑社会经济因素影响,公交线路条数、道路交叉点越多,交通出行碳排放越低;反之亦然。考虑到武汉市多中心空间结构,分区层面交通设施便利度与碳排放呈现不同结果。最后提出低碳城市空间规划相关策略。
Abstract：The paper, taking Wuhan as an example, first calculates the carbon emission of household daily travel based on questionnaire survey and some fundamental spatial data, then analyzes the relationship between traffic facilities accessibilities and carbon emission, and finally explores the influence of socio-economic factors. The results show that at the city level the number of bus route has significant correlation with family commuting carbon emission. If considering socioeconomic factors including household income, education level, and the private car ownership, the number of the road crossing within 1 000 meters also bear correlation with family commuting carbon emission. In the district level, the results are distinct when considering the unique polycentric spatial structure of Wuhan city. Finally, the paper puts forward several suggestions on low carbon community planning.
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1 根据《城市道路交通规划设计规范》规定公交服务半径一般为300 m和500 m,考虑到武汉为特大城市及简化问卷调查工作量,本文选取500 m作为缓冲半径。
2 《城市道路交通规划设计规范》指出城市主干道之间间距为800~1 200 m,考虑到武汉为特大城市及简化问卷调查工作,本文选取中间值1 000 m作为缓冲区半径。
1多元线性回归中,向后剔除法是先将全部自变量选入方程,然后逐步剔除无统计学意义的自变量,直至方程中所有的变量都不能剔除为止。
本文图表均由作者自绘
基本信息:
中图分类号:U491.9;X734.2
引用信息:
[1]黄经南,高浩武,韩笋生.道路交通设施便利度对家庭日常交通出行碳排放的影响——以武汉市为例[J].国际城市规划,2015,30(03):97-105.
基金信息:
澳洲研究基金项目“低碳城市的配置:空间参数在中国单中心和多中心城市中的作用研究”的资助~~
2013-12-28
2013
2015-05-22
2015-06-18
2015
2
2015-06-19
2015-06-19