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Vehicle miles traveled and the built environment: evidence from vehicle safety inspection data

机译:行驶里程和建筑环境:来自车辆安全检查数据的证据

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摘要

This study examines the linkage between household vehicle usage and their residential locations within a metropolitan area using a newly available administrative dataset of annual private passenger vehicle safety inspection records (with odometer readings) and spatially detailed data on the built environment. Vehicle miles travelled (VMT) and a set of comprehensive built-environment measures are computed for a statewide 250×250m grid cell layer using advanced geographic information systems and database management tools. We apply factor analysis to construct five factors that differentiate the built-environment characteristics of the grid cells and then integrate the built-environment factors into spatial regression models of household vehicle usage that account for built environment, demographics, and spatial interactions. The empirical results suggest that built-environment factors not only play an important role in explaining the intraurban variation of household vehicle usage, but may also be underestimated by previous studies that use more aggregate built-environment measures. One-standard-deviation variations in the built-environment factors are associated with as much as 5000-mile differences in annual VMT per household. This study also demonstrates the potential value of new georeferenced administrative datasets in developing indicators that can assist urban planning and urban management.
机译:这项研究使用新的年度私人乘用车安全检查记录(带里程表读数)和已建环境的空间详细数据的行政数据集,研究了大城市区域内家用车辆使用与其居住位置之间的联系。使用先进的地理信息系统和数据库管理工具,为全州范围的250×250m网格单元层计算了行驶里程(VMT)和一套综合的内置环境度量。我们应用因子分析来构建五个区分网格单元格构建环境特征的因子,然后将构建环境因子整合到家用汽车使用空间回归模型中,以解释构建环境,人口统计和空间相互作用。实证结果表明,建筑环境因素不仅在解释家用车辆使用的城市内部变化方面起着重要作用,而且以前的研究也可能低估了建筑的总体使用情况。建筑环境因素的一标准偏差变化与每个家庭每年的VMT差异多达5000英里有关。这项研究还证明了新的地理参考行政数据集在开发可帮助城市规划和城市管理的指标方面的潜在价值。

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