In:
The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 131, No. 4_Supplement ( 2012-04-01), p. 3475-3475
Abstract:
The Dongmen shopping district is the oldest shopping market in Shenzhen. Since 1995, the district has become one of ten famous commercial pedestrian-streets in China. Located in a bustling area of Shenzhen, the Dongmen shopping district attracts a large number of people in its tight-street spaces. An open space is therefore designed, which is important for customers to have a rest after exhausted shopping. It is also a relaxing place for the nearby residents. However, the space quality does not match its recreation function. According to an on-site investigation, subjective evaluations of physical comfort in the space are rather poor, including the aural and visual evaluations. Therefore, this paper is going to investigate how subjective evaluations of aural and visual “scapes” influence physical comfort. Based on analyses of aural and visual evaluations and physical comfort evaluation, artificial neural network (ANN) models of predicting subjective evaluations of physical comfort of the open space in Dongmen are explored. Using the best-trained model, a design with various aural and visual “scapes” for the space is reviewed. It is expected that this study can provide an optimised design scheme for the Dongmen open space in its refurbishment programme in terms of the physical comfort.
Type of Medium:
Online Resource
ISSN:
0001-4966
,
1520-8524
Language:
English
Publisher:
Acoustical Society of America (ASA)
Publication Date:
2012
detail.hit.zdb_id:
1461063-2
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