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Towards predicting wildness in the United Kingdom
Pheasant, Robert J. Watts, Gregory R.
Pheasant, Robert J.
Watts, Gregory R.
Publication Date
2015-01
End of Embargo
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Rights
© 2015 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2014-09-16
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Department
Awarded
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Additional title
Abstract
his paper reports the findings of a study that presented bi-modal audio-visual stimuli (video footage), to experimental subjects under controlled conditions, in order to obtain reliable estimates of perceived wildness, naturalness, felt remoteness and tranquillity. The research extends beyond the literature and demonstrates that unlike tranquillity, wildness appears to be a more intellectual or cognitive construct. However, it does relate well to remoteness and naturalness and is reduced by the presence of mechanical noise. By using the approach previously employed for the development of a Tranquillity Rating Prediction Tool (TRAPT), it has been demonstrated that a similar methodology is also appropriate for wildness. WRAPT (Wildness Rating Prediction Tool) is the first attempt to predict wildness from physical variables, the values of which can be readily obtained from field surveys supplemented by detailed maps where large areas require assessment. The findings of this study will be of interest to those responsible for managing and marketing protected areas such as National Parks, practitioners involved in carrying out landscape character assessments, cartographers wishing to incorporate reliable acoustic data within their vector or raster based stacks and landscape architects involved in designing wild and tranquil spaces across a range of scales.
Version
Accepted manuscript
Citation
Pheasant RJ and Watts GR (2015) Towards predicting wildness in the United Kingdom. Landscape and Urban Planning. 133: 87-97.
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Type
Article