
A research on assessment of soundscape in urban area by means of Caption Evaluation Method: effects of context on evaluation of soundscape
Caption Evaluation Method is a technique that was developed in Japan to learn about the reason of evaluation of landscape. The investigative method is a formalized one and can show the element of landscape that a person focused on when he made an evaluation of the landscape, and the
reason why he made a good or bad evaluation on it. In the present research, Caption Evaluation Method is applied to the survey of soundscape in urban area. Twenty-one subjects were instructed to walk along the predetermined route, and to take a picture and make evaluation of soundscape when
they found out sound that attracted their attention. They rated the sound as good, bad or normal, and they reported the character and impression of it by formalized questionnaire. As a result, one hundred fifty-seven sound elements were obtained. They were classified under the proposed way
in the previous research. Results show that traffic noise is assessed bad by almost all the people because of its noisy character, but sound from information display system receives different assessment among people. It is supposed that evaluation of not so noisy sound can be easily affected
by the context in a person's mind.
Document Type: Research Article
Publication date: 01 August 2021
The Noise-Con conference proceedings are sponsored by INCE/USA and the Inter-Noise proceedings by I-INCE. NOVEM (Noise and Vibration Emerging Methods) conference proceedings are included. All NoiseCon Proceedings one year or older are free to download. InterNoise proceedings from outside the USA older than 10 years are free to download. Others are free to INCE/USA members and member societies of I-INCE.
- Membership Information
- INCE Subject Classification
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content