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Objective Εvaluations Based on Urban Soundscape in Waterfront Recreation Spaces

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Book cover Cross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents (HCII 2021)

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Abstract

Space and form play an important role in the current geometry of recreational space and cognition of sound field. Therefore, there is different objective physical quantity information of sound energy. These concerned sounds are related to urban development and historical and cultural characteristics and will be highly recognizable sounds. It can be seen from the above that in urban recreational streets, through the objective physical characteristics of the street sound field sorted out, the positive evaluation can be predictably given, and the correspondence between the subjective feelings of the people will be explored. If the physical quantity of sound energy discusses the homogeneity of normalization of the soundscape and comprehensive physical quantity information, it is afraid to ignore the characteristics of spatial qualitative and internal variability. The currently research results propose the urban soundscape acoustic environment factors of waterfront recreation spaces, confirm and draw distinctive sound energy distribution maps and sound field perception. Understand the public’s sensitivity and preference for sound, and explore the correlation and consistency of measurement and computer simulation correspondence.

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Acknowledgements

The authors wish to thank Huang Kung Huang, Natural Acoustic Co. for the helps of software assistance, Professor Wei-Hwa Chiang, Dep. of Architecture, National Taiwan University of Science and Technology, and Hwa Hsia University of Technology the kindly assistances during the evaluation phase.

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Correspondence to Wei Lin .

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Lin, W., Wu, YM., Zhang, HZ., Lin, H. (2021). Objective Εvaluations Based on Urban Soundscape in Waterfront Recreation Spaces. In: Rau, PL.P. (eds) Cross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents. HCII 2021. Lecture Notes in Computer Science(), vol 12773. Springer, Cham. https://doi.org/10.1007/978-3-030-77080-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-77080-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77079-2

  • Online ISBN: 978-3-030-77080-8

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