Quantitative Assessment of the Impact of Micro-Environmental Elements in Gardens on Visitor Experience
As a distinctive tourism resource in the Jiangnan region,gardens are featured with both natural landscapes and cultural features.Visitors,as direct perceivers of garden spaces,play a crucial role in the recognition of the value conveyed by gardens and the improvement of experience quality.From the perspective of visitors,the paper uses the image semantic segmentation technology and random forest algorithm to quantify the impact of micro-environmental elements on visitor experiences with the modern gardens in Taihu region as a case study.The results indicates that the comfort is the core perceived experience by visitors,with hydrology,tall vegetation,architecture,ornaments,and sky environment being key perceptual factors.The random forest model reveals the complex non-linear correlations between micro-environmental elements of gardens and visitor experiences,validating the limitations of traditional linear models in such evaluations.The study also reveals that the changes in the proportion of micro-environmental elements have differentiated impacts on visitor experiences.Therefore,the future research should focus on the importance of micro-environmental elements in shaping the comfort of visitor experience,and the discussions of the non-linear relationship between different traits of gardens,in order to enhance the understanding of interaction between garden environment and visitor experience and optimize the design of garden spaces.
万方数据
维普
