Thomas Asa, Furlong Jamie, Aldred Rachel
School of Architecture and Cities, University of Westminster, United Kingdom.
Transp Res D Transp Environ. 2022 Sep;110:103402. doi: 10.1016/j.trd.2022.103402. Epub 2022 Jul 21.
School Streets are a street space reallocation scheme that has proliferated since the beginning of the Covid-19 pandemic in the UK, reducing motor traffic on streets outside many schools. Utilising a minimum-standards approach to equity, this paper examines the distribution of School Streets closures across social and environmental indicators of equity, and spatially across London's administrative geography. Using a multi-level regression analysis, we show that although School Streets have been equally distributed across several socio-demographic indicators, they are less likely to benefit schools in car-dominated areas of poor air quality, and their spatial distribution is highly unequal. This study presents an example of using environmental and spatial variables alongside more typical sociodemographic indicators in measuring the equity of school travel provision. For policymakers, the findings signal the need to implement complementary policies that can benefit schools with worse air quality, and to accelerate School Street implementation in slower districts.
学校街道是一种街道空间重新分配计划，自英国新冠疫情开始以来迅速增加，减少了许多学校外街道上的机动车流量。本文采用最低标准的公平方法，研究了学校街道关闭在公平性的社会和环境指标方面的分布情况，以及在伦敦行政区地理范围内的空间分布情况。通过多层次回归分析，我们发现，尽管学校街道在几个社会人口指标上分布均匀，但空气质量差且以汽车为主的地区的学校从中受益的可能性较小，而且它们的空间分布极不均衡。本研究展示了一个在衡量学校出行设施公平性时，将环境和空间变量与更典型的社会人口指标一起使用的例子。对于政策制定者来说，研究结果表明需要实施补充政策，以使空气质量较差的学校受益，并在实施较慢的地区加快学校街道计划的实施。
