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Impact of infrastructure and local environment on road unsafety; Logistic modeling with spatial autocorrelation.

机译:基础设施和当地环境对道路不安全的影响;具有空间自相关的逻辑建模。

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This article aims at modeling the impact of road characteristics and local spatial environment on road (un)safety. The study applies to Belgium where some 1500 people are killed annually on the roads. This statistic corresponds to one of the highest risks in Europe. Road unsafety is expressed here as whether an hectometer of road belongs to a black zone; a black zone is defined as a segment of road where roads accidents are concentrated. Logistic modeling including spatial autocorrelation is used and compared to non-spatial regression. It is shown that a spatial model is needed to avoid biased estimated parameters. Results show that local environment and road infrastructure play a substantial role in the co-occurrence of road accidents. Hence, education and enforcement cannot be the only measures taken to reach a sustainable road safety. To attain their objectives of accident reduction, public authorities should also take their responsibilities in the matter of securing road infrastructure.
机译:本文旨在模拟道路特征和局部空间环境对道路(非)安全性的影响。该研究适用于比利时,每年约有1500人在道路上丧生。该统计数据对应于欧洲最高的风险之一。道路不安全性在此表示为道路的公尺是否属于黑色区域;黑色区域定义为道路事故集中的路段。使用包括空间自相关的逻辑模型,并将其与非空间回归进行比较。结果表明,需要一个空间模型来避免估计参数的偏差。结果表明,当地环境和道路基础设施在道路交通事故的同时发生中起着重要作用。因此,教育和执法不能成为实现可持续道路安全的唯一措施。为了实现减少事故的目标,公共当局还应在确保道路基础设施安全方面承担责任。

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