The proper identification and prioritization of noise hot-spots caused by roads require a spatial analysis that goes beyond the information provided by strategic noise maps. With this purpose, this paper describes the development and testing of a new 3D tool built using ArcGIS scripts, which has been created for this task. This tool provides “enhanced information” that can enrich the scenarios used in the decision-making process that accompanies noise action plans. The new tool was tested in a residential area crossed by the A-376 highway, in the province of Seville, Spain, since the use of real data can better show the capabilities of the new methodology. The tool was validated with a benchmark test using 20 stretches of the highway chosen at random among areas with the population exposed to more than 50 dB. The results show a relative mean error of 1.33% after analyzing 3597 receivers above 50 dB. This contributes to the credibility and confidence in the method. It was also proved that the new tool represents a substantial improvement in the detection of noise hot-spots compared to similar tools in 2D. Finally, one of the most important conclusions is that the new tool defines more precisely the extent of the road noise problem, determining exactly the contribution of each section of the road in each of the noise problems diagnosed by the road noise maps. Among other things, this makes it easy to quickly discard inefficient noise mitigation measures.

道路的噪声热点的正确识别和优先级排序需要进行空间分析，而不仅仅是战略噪声图所提供的信息。为此，本文描述了使用此任务创建的使用ArcGIS脚本构建的新3D工具的开发和测试。该工具提供了“增强的信息”，可以丰富噪声行动计划随附的决策过程中使用的场景。由于使用实际数据可以更好地展示新方法的功能，因此该新工具已在西班牙塞维利亚省A-376高速公路横穿的居民区进行了测试。该工具已通过基准测试进行了验证，该测试使用了20条高速公路，这些高速公路是在人口暴露于50 dB以上的区域之间随机选择的。分析3597个高于50 dB的接收机后，结果显示相对平均误差为1.33％。这有助于该方法的信誉和信心。还证明，与2D中的类似工具相比，该新工具在检测噪声热点方面具有实质性的改进。最后，最重要的结论之一是，新工具可以更精确地定义道路噪声问题的程度，准确确定道路各部分在道路噪声图诊断的每个噪声问题中的作用。除其他事项外，这使得轻松快速丢弃低效的噪声缓解措施变得容易。还证明，与2D中的类似工具相比，该新工具在检测噪声热点方面具有实质性的改进。最后，最重要的结论之一是，新工具可以更精确地定义道路噪声问题的程度，准确确定道路各部分在道路噪声图诊断的每个噪声问题中的作用。除其他事项外，这使得轻松快速丢弃低效的噪声缓解措施变得容易。还证明，与2D中的类似工具相比，该新工具在检测噪声热点方面具有实质性的改进。最后，最重要的结论之一是，新工具可以更精确地定义道路噪声问题的程度，准确确定道路各部分在道路噪声图诊断的每个噪声问题中的作用。除其他事项外，这使得轻松快速丢弃低效的噪声缓解措施变得容易。