北京市交通环境承载力动态评价及障碍因子诊断

发布时间：2018-04-13 21:23

本文选题：交通工程 + 交通环境承载力　；参考：《公路交通科技》2017年06期

【摘要】：交通环境承载力是衡量城市交通可持续发展的一个关键指标,是制定城市交通规划和交通政策的依据和基础。基于模糊物元理论和熵权法构建交通环境承载力预警模型,对2007—2014年北京市交通环境承载力水平进行评价,并通过障碍因素诊断模型对北京市交通环境承载力的主要障碍因素进行识别。结果表明:2007—2014年北京市交通环境综合承载力水平有所提升,但提升幅度不大;交通环境资源承载力和交通环境污染承载力是限制北京市交通可持续发展的主要限制因素,且交通环境资源承载力障碍度有逐年攀升的趋势;北京市交通环境综合承载力的主要障碍因子包括可吸入颗粒物年日均值、二氧化氮年日均值、机动车保有量密度、建成区路网密度、公共交通线路密度,特别值得关注的是,近年来机动车保有量密度的障碍度逐年攀升,已超过交通环境污染因子成为制约北京市交通环境可持续发展最大的障碍因子。
[Abstract]:Traffic environmental carrying capacity is a key index to measure the sustainable development of urban traffic, and it is the basis and basis of formulating urban traffic planning and traffic policy.Based on fuzzy matter-element theory and entropy weight method, an early warning model of traffic environmental carrying capacity is established to evaluate the level of traffic environmental carrying capacity in Beijing from 2007 to 2014.The main obstacle factors of traffic environment carrying capacity in Beijing are identified by the diagnostic model of obstacle factors.The results show that the level of traffic environment comprehensive carrying capacity of Beijing between 2007 and 2014 has been improved, but the range is not large, the carrying capacity of traffic environment resources and traffic environment pollution are the main limiting factors that restrict the sustainable development of traffic in Beijing.The obstacle degree of traffic environment resources carrying capacity is increasing year by year. The main obstacle factors of traffic environment comprehensive carrying capacity in Beijing include the annual daily mean of inhalable particulates, the annual daily average of nitrogen dioxide, the density of vehicle ownership.The density of road network and the density of public transport lines in the built areas are especially noteworthy in recent years, the obstacle degree of the density of vehicle ownership has been increasing year by year.It has become the biggest obstacle factor to restrict the sustainable development of traffic environment in Beijing.
【作者单位】：吉林师范大学旅游与地理科学学院;
【基金】：国家社会科学基金项目(13CSH068) 四平市社会科学基金项目(201405)
【分类号】：U491

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