Effects of noise on pedestrians in urban environments where road traffic is the main source of sound
Research combining the measurement of objective variables with surveys of people's perception of noise on city streets is useful in terms of understanding the impact of urban noise on the population and improving the environment. Although previous investigations have analysed the factors that m...
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Veröffentlicht in: | The Science of the total environment 2023-01, Vol.857, p.159406-159406, Article 159406 |
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Sprache: | eng |
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Zusammenfassung: | Research combining the measurement of objective variables with surveys of people's perception of noise on city streets is useful in terms of understanding the impact of urban noise on the population and improving the environment. Although previous investigations have analysed the factors that may influence the noise annoyance of citizens, it is usually considered as a global aspect. This paper presents research based on in situ surveys and objective variables (urban, meteorological and noise indicators) to evaluate some specific effects of noise on pedestrians in urban environments where road traffic is the main source of sound. The results show significant relationships of the effects of noise and perceptions of how noisy urban environments are with variables such as building height, road category and temperature, with correlation coefficients ranging from 0.37 to 0.64. Significant correlations between these subjective variables and the acoustic variables were also found, with explanations of variability that reached values of up to 50 %. A multivariate analysis revealed that both urban variables (especially the category of street) and environmental variables can be an alternative or a complement to models predicting the effects and perception of environmental noise based only on acoustic variables.
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•Increase in some noise effects perceived by pedestrians with building height•Significant negative correlation between temperature and some noise effects•Good explanations of the variability of noise effects from some acoustic variables•Urban-environmental models to significantly explain the perception of noise effects•Categorisation method could help to predict noise effects on pedestrians in cities. |
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ISSN: | 0048-9697 1879-1026 |
DOI: | 10.1016/j.scitotenv.2022.159406 |