A study of noise exposure of traffic-type pocket parks in old urban districts based on audio-visual interaction

Abstract

The small-scale green spaces next to major roads in old urban districts have long been subjected to traffic noise, posing health risks to the active people within these areas. In accordance with China's “Healthy China” national strategy and the construction of “pocket parks” in cities, it is of significant practical and research value to eliminate noise pollution and propose techniques for optimizing the noise environment of such traffic-type pocket parks. After conducting preliminary investigations and on-site monitoring, it was discovered that the level of noise pollution within the pocket park was relatively high. Given the limited noise reduction capabilities of green belts, it is worth exploring the potential of audio-visual interactions to improve and control noise perception in more detail. This study conducted panoramic image shooting and panorama-element-visibility calculations, generated a self-assessment report on noise perception using a questionnaire, and combined the report with structural equation model calculations. The findings revealed that the visual features of the pocket park environment have an impact on the noise perception of people from different age groups. This paper proposes an optimal range of indicators for the visibility of green space landscape elements related to noise-environment subjective perception improvement and establishes technological methods for noise-pollution control. It also offers insights and examples for promoting the development of healthy green spaces.