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Exhaust emissions in residential areas with different street network configurations

机译:具有不同街道网络配置的住宅区的废气排放

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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:降低旅行需求的困难已经创造了对使用设计来减少每次旅行车辆的兴趣以及污染率。住宅区产生的交通占私人城市车辆里程的约25%。本研究的目的是研究与街道网络设计中的差异有关的内置住宅区的燃料消耗和废气排放的差异。街道的配置极大地影响了驾驶行为,因此还有废气排放和燃料消耗。本研究审查了三个不同配置的五个区域:传统网格网络,以及从周围的街道或中央街道喂养交通的设计。分析了总燃料消耗和排放量的差异。交通分配模型用于计算平均车辆里程的差异。真实的交通驾驶模式被用作发射仿真模型的输入,以计算不同区域的车辆排放和燃料消耗。线性回归分析用于调查可以通过配置设计解释的污染率的差异。每个人的车辆里程在交通中有周围街道的地区显着高。发现具有居中地区的流量喂养的配置具有更高的污染率。该研究表明,采用车辆里程和污染因素,表明,从周围的街道喂养的配置产生了每人的更高的排放以及更高的燃料消耗。较高的里程超过了较低的污染率。本研究采用的方法强调了在调查不同规划战略的整体影响时分析污染率以及车辆里程的重要性。

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