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Identifying Hazardous Road Locations:Hot Spots versus Hot Zones

机译：识别危险的道路位置：热点与热点

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Traffic safety has become top priority for policy makers in most European countries. The first step is to identify hazardous locations. This can be carried out in many different ways, via (Bayesian) statistical models or by incorporating the spatial configuration by means of a local indicator of spatial association. In this paper, the structure of the underlying road network is taken into account by applying Moran's I to identify hot spots. One step further than the pure identification of hazardous locations is a deeper investigation of these hot spots in a hot zone analysis. This extended analysis is important both theoretically in enriching the way of conceptualizing and identifying hazardous locations and practically in providing useful information for addressing traffic safety problems. The results are presented on highways in a province in Belgium and in an urban environment. They indicate that incorporating the hot zone methodology in a hot spot analysis reveals a clearer picture of the underlying hazardous road locations and, consequently, this may have an important impact on policy makers.
机译：交通安全已成为大多数欧洲国家政策制定者的首要任务。第一步是识别危险场所。这可以通过许多不同的方式，通过（贝叶斯）统计模型或通过包括空间关联的局部指示器结合空间配置。在本文中，通过应用Moran的I识别热点来考虑底层道路网络的结构。进一步比纯危险位置的纯识别是对热区分析中这些热点的更深层次的研究。这种扩展分析理论上是重要的，在大学中丰富概念化和识别危险场所，并且实际上在提供用于解决交通安全问题的有用信息时的方式。结果在比利时省和城市环境中展示了高速公路。它们表明，在热点分析中纳入热带方法显示潜在的危险道路位置的更清晰的图像，因此，这可能对政策制定者产生重要影响。

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