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The relationship between urban street networks and private motorized trips at the city level

机译：城市街道网络与城市一级私人机动出行之间的关系

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There are factors that impact car usage in urban areas, such as density, diversity and design, but there have been few studies that examine the relationship between street network factors and car usage at the city level (macro level). This paper focuses on this relationship by introducing urban street network variables, such as blocks per area, nodes per block and length of roads and motorways, as independent variables and the percentage of daily trips by private motorized modes as the dependent variable. The street network in this study includes interconnecting lines and points that present streets, roads, motorways, intersections and blocks. The strength of the relationship in this study is found using multiple linear regression. The findings of this research indicate that an increase in car usage is correlated with an increasing number of blocks per area, number of nodes per block and length of motorways. In addition, because the urban street network is the result of macro-scale planning decisions, considering this relationship can lead to better planning decisions.
机译：有一些影响城市地区汽车使用的因素，例如密度，多样性和设计，但是很少有研究研究街道网络因素与城市一级（宏观一级）汽车使用之间的关系。本文通过引入城市街道网络变量（例如，每个区域的块数，每个块的节点以及道路和高速公路的长度）作为自变量，并通过私人机动模式每天出行的百分比作为因变量来关注这种关系。本研究中的街道网络包括相互连接的线和点，这些线和点表示街道，道路，高速公路，十字路口和街区。使用多元线性回归可以发现该关系的强度。这项研究的发现表明，汽车使用量的增加与每个区域的街区数量，每个街区的节点数量以及高速公路长度的增加相关。另外，由于城市街道网络是宏观规划决策的结果，因此考虑这种关系可以导致更好的规划决策。

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