Study Of The Soundscape In Urban Shopping Streets

With the development of the urban spaces,the shopping streets become one of the most important components of the urban public spaces,which contain multiple functions including shopping,relaxing,dining,touring and so on.Complex functions bring serious noise problems.However there are only few studies focused on this problem.Therefore this study,focusing on the sound environment in urban shopping streets,was carried out based on the concept of soundscape.Three main aspects were analyzed including the structure of subjective assessment,objective indices,and sound field characters in streets space.The soundscape perception structure is analyzed by the questionnaire survey based on semantic differential method.Comparing with other urban soundscape,the character of shopping street soundscape is that the perception is divided into more dimensions with a more balanced structure.On this basis,the relationship between subjective factors and objective indices are analyzed by laboratory experiment.A new method is invented in this study,which is named the Dynamic Spectrum Center analysis.The results show that the DSC indices have significant correlations with the other two perception factors.Furthermore,the character of street sound field are analyzed by field measurements and computer simulations.The sound level attenuation and reverberation time are measured and analyzed in three sampled streets.Corresponding simulations are carried out to analyze the diffusion level of the building fa?ade.Finally the relationship between space parameters and sound field indices are analyzed by more computer simulation.At last,the study focused on the design strategy of shopping street soundscape.An automatic analysis model was developed based on objective parameters and machine learning technique.Then the main design principal were discussed based on the characters of shopping street soundscape.