Loading...
Validation of the Tranquillity Rating Prediction Tool (TRAPT): comparative studies in UK and Hong Kong
Watts, Gregory R. ; Marafa, L.
Watts, Gregory R.
Marafa, L.
Publication Date
2017-08
End of Embargo
Supervisor
Keywords
Rights
© 2017 Author, published by De Gruyter Open. This work is
licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BYNC-
ND 4.0
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2017-07-17
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
The Tranquillity Rating Prediction Tool (TRAPT)
has been used to make predictions of the quality of tranquility
in outdoor urban areas using two significant factors
i.e. the average level of anthropogenic noise and the
percentage of natural features in view. The method has
a number of applications including producing tranquillity
contours that can inform decisions regarding the impact
of new anthropogenic noise sources or developments
causing visual intrusion. The methodwas intended for use
in mainly outdoor areas and yet was developed using responses
from UK volunteers to video clips indoors. Because
the volunteers for this study were all UK residents
it was important to calibrate responses for other ethnic
groups who may respond differently depending on cultural
background. To address these issues further studies
were performed in Hong Kong using the same video
recording played back under the same conditions as the
study in the UK. The HK study involved recruiting three
groups i.e. residents fromHong Kong, Mainland China and
a diverse group from 16 different nations. There was good
agreement between all these groups with average tranquillity
ratings for the different locations differing by less than
one scale point in most cases.
Version
Published version
Citation
Watts G and Marafa L (2017) Validation of the Tranquillity Rating Prediction Tool
(TRAPT): comparative studies in UK and Hong Kong. Noise Mapping. 4(1): 67-74.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Article