| China has built plenty metro commercial entities with its rapid urban development,in which the audio-visual comfort has been concerned as current situation is not good.At present,the relevant National Regulations only focused on the safety of metro commercial space.The environmental quality hasn’t been highlighted if considering from the comfort.Therefore,it is urgent to establish an evaluation model of metro commercial space based on the audio-visual comfort,so as to evaluate and improve the quality of metro commercial space.For providing new technical methods to improve the quality of metro commercial space,the Artificial Neural Network(ANN)would be used to establish the evaluation model.From 2018 to 2019,the previous study has studied metro commercial spaces in Shenzhen and Hong Kong.In order to make the research more universal,this study is going to conduct a supplementary survey on metro commercial spaces in Guangzhou and Shanghai.The method of supplementary survey is the same as the previous study,including recording the spatial prototype of metro commercial space,measuring the physical quantities of acoustic and visual environment,and collecting users’ subjective evaluation of the audio-visual environmental comfort.After the supplementary study,combining data and previous data of Shenzhen and Hong Kong to describe the overall situation of Chinese metro commercial space,which includes spatial protypes,acoustic and visual environment prototype and the combination of space and environment.In addition,correlation analysis has been done by SPSS software to acquire the influencing factors on audio-visual environmental comfort.Finally,ANN evaluation models of metro commercial spaces’ audio-visual environmental comfort were established by taking influencing factors as input factors.Through the study,it could be found there are 10 spatial prototypes and 5prototypes of acoustic and visual environment in metro commercial spaces.The factors that influence the visual,aural and audio-visual comfort of metro commercial spaces are also different,including audio-visual environmental factors and spatial factors.The ANN models have been established according to the influencing factors,which includes the evaluation model of visual comfort,aural comfort and audiovisual comfort.Considering from the effects,the evaluation model of visual comfort and audio-visual comfort have better effects,which average precision rate were over0.80,whereas the evaluation model of aural comfort is slightly worse with 0.74. |