Road traffic is the primary source of environmental noise pollution in cities. This problem is also spreading due to inadequate urban expansion planning. Hence, integrating road traffic noise analysis into urban planning is necessary for reducing city noise in an effective, adaptable, and sustainable way. This study aims to develop a methodology that applies to any city for the stratification of urban roads by their functionality through only their urban features. It is intended to be a tool to cluster similar streets and, consequently, traffic noise to enable urban and transportation planners to support the reduction of people's noise exposure. Three multivariate ordered logistic regression statistical models (Model 1, 2, and 3) are presented that significantly stratify urban roads into five, four, and three categories, respectively. The developed models exhibit a McFadden pseudo-R between 0.5 and 0.6 (equivalent to R >0.8). The choice between Model 1 or 2 depends on the scale of the city. Model 1 is recommended for developed cities with an extensive road network, while Model 2 is most suitable in intermediate and growing cities. On the other hand, Model 3 could be applied at any city scale but focused on local management of transit routes and for designing acoustic sensor installations, urban soundwalks, and identification of quiet areas. Urban features related to road width and length, presence of transport infrastructure, and public transport routes are associated with increased traffic noise in all three models. These models prove useful for future action plans aimed at reducing noise through strategic urban planning.

中文翻译：

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用于道路交通噪声估计的城市特征街道分类模型


道路交通是城市环境噪声污染的主要来源。由于城市扩张规划不完善，这个问题也正在蔓延。因此，将道路交通噪声分析纳入城市规划对于以有效、适应性和可持续的方式减少城市噪声是必要的。本研究旨在开发一种适用于任何城市的方法，仅通过城市特征对城市道路进行功能分层。它的目的是成为聚集类似街道的工具，从而聚集交通噪音，使城市和交通规划者能够支持减少人们的噪音暴露。提出了三个多元有序逻辑回归统计模型（模型 1、2 和 3），分别将城市道路显着分层为五类、四类和三类。开发的模型表现出 McFadden 伪 R 介于 0.5 和 0.6 之间（相当于 R >0.8）。选择模型1还是模型2取决于城市的规模。模型1推荐用于路网广泛的发达城市，而模型2最适合中等和成长型城市。另一方面，模型 3 可以应用于任何城市规模，但侧重于交通路线的本地管理以及设计声学传感器安装、城市声音行走和安静区域的识别。在所有三种模型中，与道路宽度和长度、交通基础设施的存在以及公共交通路线相关的城市特征都与交通噪音的增加有关。事实证明，这些模型对于旨在通过战略性城市规划减少噪音的未来行动计划非常有用。