Abstract This paper focuses on the combined impact of sound and visibility features on residential satisfaction in a suburban context. Based on a modeling approach, the study presents an integrated analysis where a set of spatial metrics, describing visibility of landscape features and road-traffic noise, are associated with data from a survey of neighborhood satisfaction. This survey was conducted on a sample of 845 inhabitants living in a medium-size French city. Using a PLS path model, the main objective of this paper is to assess how visual and sound metrics combine to provide complementary explanations of neighborhood satisfaction. Moreover, the analysis focuses on assessing the extent to which a part of the heterogeneity of the residents’ neighborhood perception is due to their socio-economic position or to their neighborhood’s characteristics. The results show that visual and sound criteria influence residential satisfaction cumulatively, and that sensitivity to these criteria varies according to the socio-economic position of individuals, opposing specifically homeowners and tenants. By using digital spatial data and GIS methods, an integrated indicator is produced to map the spatial distribution of neighborhood satisfaction for all residential locations of the study area. In an urban planning context, such a spatially oriented approach can be considered as a decision-making tool for planning and development to identify high-stakes zones in order to improve the inhabitants’ quality of life.

中文翻译：

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结合邻里环境的视觉和噪声特征来模拟住宅满意度：使用基于 GIS 的指标的应用程序

摘要 本文重点研究郊区环境中声音和可见度特征对住宅满意度的综合影响。基于建模方法，该研究提出了一个综合分析，其中一组空间指标，描述景观特征和道路交通噪音的可见性，与来自邻里满意度调查的数据相关联。这项调查是对居住在法国中等规模城市的 845 名居民的样本进行的。使用 PLS 路径模型，本文的主要目标是评估视觉和声音指标如何结合以提供邻里满意度的补充解释。而且，分析的重点是评估居民邻里感知的异质性在多大程度上是由于他们的社会经济地位或邻里特征造成的。结果表明，视觉和声音标准会累积影响住宅满意度，并且对这些标准的敏感性根据个人的社会经济地位而有所不同，特别是针对房主和租户。通过使用数字空间数据和GIS方法，生成一个综合指标来绘制研究区所有居住点的邻里满意度空间分布图。在城市规划背景下，