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Exhaust emissions in residential areas with different street network configurations

机译:不同街道网络配置的居民区废气排放

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摘要

Difficulties in reducing travel demand have created an interest in using design to reduce vehicle mileage per trip as well as pollution rates. Traffic generated in residential areas accounts for approximately 25% of private urban vehicle mileage. The objective of this study was to investigate differences in fuel consumption and exhaust emissions for built-up residential areas in relation to differences in the design of street networks. The configuration of streets greatly influences driving behaviour, and thus also exhaust emissions and fuel consumption. This study examined five areas with three different configurations: a traditional grid network, and designs feeding the traffic in from a surrounding street or from a centrally located street. Differences in total fuel consumption and amount of exhaust emissions were analysed. A traffic assignment model was used to calculate differences in average vehicle mileage. Real traffic driving patterns were used as input to an emission simulation model to calculate vehicular emissions and fuel consumption for the different areas. Linear regression analysis was used to investigate differences in pollution rates that could be explained by the configuration design.. The vehicle mileage per person was significantly higher in the areas with a surrounding street feeding in traffic. Configurations with centrally located feeding of traffic were found to have higher pollution rates. Taking both vehicle mileage and pollution factors into account, the study showed that configurations with feeding from a surrounding street generate higher emissions per person as well as higher fuel consumption. The higher mileage outweighs the lower pollution rates. The approach adopted in this study emphasises the importance of analysing pollution rates as well as vehicle mileage when investigating the overall impact of different planning strategies.
机译:减少旅行需求的困难已经引起了使用设计来减少每次旅行的车辆行驶里程以及污染率的兴趣。居住区产生的交通量约占城市私家车行驶里程的25%。这项研究的目的是调查建成住宅区的燃料消耗和废气排放的差异,以及街道网络设计的差异。街道的配置极大地影响了驾驶行为,因此也影响了废气排放和燃料消耗。这项研究检查了具有三种不同配置的五个区域:一个传统的网格网络,并设计了从周围街道或中央街道提供交通流量的设计。分析了总燃料消耗和废气排放量的差异。交通分配模型用于计算平均车辆行驶里程的差异。实际交通驾驶模式被用作排放模拟模型的输入,以计算不同区域的车辆排放和燃料消耗。线性回归分析被用来调查污染率的差异,这可以通过配置设计来解释。在周围交通拥挤的地区,人均车辆行驶里程明显更高。发现以交通为中心的配置具有较高的污染率。考虑到车辆行驶里程和污染因素,研究表明,从周围街道进食的配置会产生每人更高的排放量以及更高的燃料消耗。里程数越高,污染率越低。本研究采用的方法强调了在调查不同规划策略的整体影响时分析污染率以及车辆行驶里程的重要性。

著录项

  • 来源
    《》|2003年|p.293-302|共10页
  • 会议地点
  • 作者

    L. Smidfelt Rosqvist;

  • 作者单位

    Lund University, Department of Technology and Society, Sweden;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 综合运输;
  • 关键词

  • 入库时间 2022-08-26 14:22:33

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