Exploring the sensing discrepancy between traffic noise level and noise perception

Traffic noise level and its perception are two intertwined concepts that affect residents' quality of life and urban development. However, previous studies have mostly focused on predicting the measured traffic noise level or analyzing the spatiotemporal patterns of noise perception. Few studies have quantitatively explored the differences between these two. In this study, we proposed a noise sensing discrepancy index (NSDI) by integrating traffic noise maps and noise complaints to quantify the divergence between subjective perceived noise and objective measured traffic noise level. Using this index, the spatial patterns of this sensing discrepancy were explored and the underlying mechanisms through which urban morphology and socioeconomic attributes modulate such divergences were revealed. The study found that people from different social backgrounds have significant differences in their tolerance for noise: people who are in a quiet environment for a long time are more sensitive to noise and may make more complaints; while areas with dense greenery have a quieter perception of noise. These findings deepen people's understanding of the discrepancy between subjective perceived traffic noise and objective measured noise level, and provide a scientific basis for optimizing urban planning and noise management strategies to reduce the impact of traffic noise.