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中文摘要：
低碳交通是实现交通可持续性的一种重要途径,其已成为地理学研究的一个重要议题,其中居民出行碳排量研究是其不可或缺的部分。以社区为分析单元,引发交通网络对居民出行碳排量的影响研究。选取广州市4个不同类型交通网络的城市社区作为案例,测量社区居民出行碳排量,并以436个样本数据库为基础,利用AMOS17.0软件建立结构方程模型,试图在社区层面上挖掘＂交通网络-出行行为-出行碳排量＂的影响机制。结果显示,交通网络α值越大,出行距离越近、出行时长越短、出行碳排量越低;交通网络β值越大,出行时长越短,出行碳排量越低;交通网络γ值越大,出行距离越远、出行时长越长、出行碳排量越高。
英文摘要：
Building low-carbon transportation system is a key way to construct a sustainable transportation system, and it has become an important issue in the field of geographic research. At the same time, the study on household travel carbon emissions is an integral part of the low-carbon transportation system. Community is a unit of analysis on urban research to conduct the impact research among road network types and household travel carbon emissions. Four communities of different road network types in Guangzhou are selected for case study to examine the inner mechanism between road network types and travel carbon emissions in community with the help of AMOS 17.0. The result shows that the greater the value of road network α is, the closer travel distance, the shorter travel time, and the lower travel carbon emissions are. The greater the value of road network β is, the shorter travel time, and the lower travel carbon emissions are. The greater the value of road network γ is, the furtherer travel distance, the longer travel time, and the higher travel carbon emissions are.
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