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Wednesday, July 10 • 10:30 - 13:00
EXPERIMENTAL RESEARCH ON INFLUENCING FACTORS OF URBAN STREET TRAFFIC ACOUSTIC ANNOYANCE BASED ON VR EXPERIENCE

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Urban street is an important public space in cities. Street sound environment, dominated by traffic noise, is important in determining the pedestrians' experience of the street. This paper selected three sections from each of two streets, Heping Street and Shisanwei Road in Shenyang, China, which were dominated by traffic noise. Panoramic audio and video capture were performed using ZOOM F4 MultiTrack Field Recorder, SENNHEISER AMBEO VR MIC, and GoPRO FUSION 360, followed by loudness analysis and scene selection; Using HTC VIVE virtual reality technology, live audio-visual environment was restored in the laboratory; Thirty pre-trained participants (1:1 for male and female) experimented the six scenes by stimulation and their subjective evaluation of the acoustic annoyance, evaluation of the beauty of street and perceived loudness of each scene were recorded. Noise sensitivity of the participants were measured through a noise sensitivity scale; SPSS was used for statistical analysis to explore the influencing factors of urban street traffic acoustic annoyance. The results showed that: ①When the loudness is in the range of 12-15sone (the actual range of the local traffic sound loudness distribution), the acoustic annoyance participants perceived has no correlation with the loudness of the traffic sound, but it is significantly positively correlated with the perceived loudness of the individual; ②As the beauty of street increases, the acoustic annoyance gradually decreases, which is partly because of the improvement in visual environmental quality reducing the perceived loudness of the participants.; ③Through regression analysis, a linear regression model between acoustic annoyance and perceived loudness, beauty of street and noise sensitivity was established (Adjusted R2=0.650).

Authors
YZ

Yuan Zhang

Student, Shenyang Jianzhu University


Wednesday July 10, 2019 10:30 - 13:00 EDT
St-Laurent 3, Board 02-A
  T04 Environ. & commun. noise, SS02 Urban soundscapes