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Community design and how much we drive

机译：社区设计以及我们的推动力

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The preponderance of evidence suggests that denser and more connected communities with a higher degree of mixed land uses results in fewer vehicle kilometers traveled (VKT). However, there is less agreement as the size of the effect. Also, there is no clear understanding as to the aspects of community design that are most important in contributing to lower VKT. One reason why there is some confusion on this point is that past studies have not always made a clear distinction between different community and street network design characteristics such as density, connectivity, and configuration. In this research, care was taken to fully characterize the different features of the street network including a street pattern classification system that works at the neighborhood level but also focuses on the citywide street network as a separate entity.We employ a spatial kriging analysis of NHTS data in combination with a generalized linear regression model in order to examine the extent to which community design and land use influence VKT in 24 California cities of populations from 30,000 to just over 100,000. Our results suggest that people living in denser street network designs tended to drive less. Connectivity, however, played an adverse role in performance.
机译：大量证据表明，人口密度更高，土地面积和混合度更高的社区越密集，行驶的车辆公里数（VKT）就会减少。但是，关于效果的大小，人们的共识较少。另外，对于社区设计中对于降低VKT最重要的方面也没有明确的了解。关于这一点感到困惑的原因之一是，过去的研究并未始终在不同的社区和街道网络设计特征（例如密度，连通性和配置）之间做出清晰的区分。在这项研究中，我们努力充分表征了街道网络的不同特征，包括在邻里层面起作用的街道模式分类系统，但也将整个城市街道网络作为一个独立实体进行了研究。我们对NHTS进行了空间克里金分析数据与广义线性回归模型相结合，以检验社区设计和土地使用在多大程度上影响着24个加利福尼亚城市人口（从30,000到刚超过100,000）的VKT。我们的结果表明，居住在较密集的街道网络设计中的人们往往开车较少。但是，连接性在性能方面起着不利的作用。

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