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揭示城市地区道路交通事故的行为。

Uncovering the behaviour of road accidents in urban areas.

作者信息

Cabrera-Arnau C, Prieto Curiel R, Bishop S R

机构信息

Department of Mathematics, University College London, Gower Street, WC1E 6BT London, UK.

Research in Spatial Economics (RiSE-group), Department of Mathematical Sciences, Universidad EAFIT, Medellin, Colombia.

出版信息

R Soc Open Sci. 2020 Apr 15;7(4):191739. doi: 10.1098/rsos.191739. eCollection 2020 Apr.

Abstract

Different patterns in the incidence of road accidents are revealed when considering areas with increased levels of urbanization. To understand these patterns, road accident data from England and Wales is explored. In particular, the data are used to (i) generate time series for comparison of the incidence of road accidents in urban as opposed to rural areas, (ii) analyse the relationship between the number of road accidents and the population size of a set of urban areas, and (iii) model the likelihood of suffering an accident in an urban area and its dependence with population size. It is observed that minor and serious accidents are more frequent in urban areas, whereas fatal accidents are more likely in rural areas. It is also shown that, generally, the number of accidents in an urban area depends on population size superlinearly, with this superlinear behaviour becoming stronger for lower degrees of severity. Finally, given an accident in an urban area, the probability that the accident is fatal or serious decreases with population size and the probability that it is minor, increases sublinearly. These findings promote the question as to why such behaviours exist, the answer to which will lead to more sustainable urban policies.

摘要

在考虑城市化水平较高的地区时,道路交通事故发生率呈现出不同的模式。为了理解这些模式,我们对来自英格兰和威尔士的道路交通事故数据进行了探究。具体而言,这些数据被用于:(i)生成时间序列,以比较城市地区与农村地区的道路交通事故发生率;(ii)分析道路交通事故数量与一组城市地区人口规模之间的关系;(iii)对城市地区发生事故的可能性及其与人口规模的依赖性进行建模。研究发现,城市地区轻微和严重事故更为频繁,而农村地区致命事故更为常见。研究还表明,一般来说,城市地区的事故数量与人口规模呈超线性关系,且这种超线性行为在事故严重程度较低时更为明显。最后,在城市地区发生事故的情况下,事故为致命或严重的概率随人口规模降低,而轻微事故的概率则呈次线性增加。这些发现引发了一个问题,即为何会存在这样的行为,而其答案将有助于制定更具可持续性的城市政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/922a/7211831/c4d69229cbf9/rsos191739-g1.jpg

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