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Benchmarking Analysis of Road Safety Levels for an Extensive and Representative Dataset of European Cities

机译:欧洲城市广泛代表数据集的道路安全水平基准分析

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According to European urban sustainable planning guidelines, road safety corresponds to one of the most important elements of cities' performance. Several methods have been developed over the years for supporting policymaking, towards the improvement of road safety levels mainly at the national level. In this study, a methodological framework is developed, extending the macro-level (national) analysis and focusing at a higher spatial resolution, that of urban regions. The methodological approach is based on benchmarking analysis, able to suitably rank alternative cases/regions with distinctive characteristics within a multivariate comparative framework and on the investigation of the components that affect their ranking. In particular, an extensive and representative dataset from 101 European regions is collected and analyzed, incorporating their socio-economic, demographic and road infrastructure characteristics. Then, Data Envelopment Analysis (suitably adapted to road fatalities framework) has been developed, evaluating the urban regions' road safety performance over a period of 9 years. The resulted region ranking is further examined by using Tobit regression models for identifying the components that appear to affect their performance in different extents providing a valuable guiding 'tool' for experience/knowledge-transfer and policy-making. The datasets and the results are presented and discussed in detail, such as they will be useful not only for demonstration purposes but also they will be suitable as a benchmark for researchers and practitioners.
机译:根据欧洲城市可持续规划指南,道路安全对应于城市表现最重要的元素之一。多年来,在支持政策制定的多年来,几种方法已经发展,以主要在国家一级提高道路安全水平。在本研究中,开发了一种方法论框架,将宏观级(国家)分析和重点放在城市地区的较高空间分辨率。方法论方法是基于基准分析,能够在多变量比较框架内和影响其排名的组分的调查,适当地等级的替代案例/区域。特别是,收集并分析了来自101个欧洲地区的广泛和代表性数据集,并分析了他们的社会经济,人口统计和道路基础设施特征。然后,已经开发了数据包络分析(适当适应道路死亡框架),在9年内评估城市地区的道路安全性能。通过使用Tobit回归模型进一步检查所产生的区域排名,用于识别出现在不同范围内的性能的组件,为经验/知识转移和政策制定提供有价值的指导“工具”。数据集和结果是详细介绍和讨论的,例如它们不仅适用于演示目的,而且它们将适合作为研究人员和从业者的基准。

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