Research On Tourists' Visual Landscape Perception And Value Orientation In Xiong'an New Area

With the development and popularization of Internet and social media platforms,tourists are keen to record what they see,hear and feel in tourism in real time by taking photos and share them on the Internet,resulting in a large number of location photo data.Location photo data has rich attribute information.The research on destination visual tourism based on photo data has become a hot spot.Compared with text,picture data contains rich visual information,which can more intuitively reflect the interests of tourists.Therefore,mining the visual information contained in photos is of great significance to carry out the research on tourists' landscape perception and value orientation.Using the convolution neural network image recognition technology in deep learning and comprehensively considering the problems of many visual content elements and complex recognition results of tourism photos,this paper designs a method to mine the visual semantics of photos,and applies the visual semantics to the analysis of tourists' landscape image and tourists' value orientation respectively,so as to more effectively divide the photos into appropriate dimensions according to their main visual content.In the case study,xiong'an new area is selected as the research area,and the microblog location photos are used as the data source.According to the visual semantic results of tourists' photos,tourists' landscape perception is divided into 10 landscape images.At the same time,based on the psychological hierarchy theory of psychologist Brentano,tourists' value orientation is divided into three levels: material level,emotional level and spiritual level,Using the kernel density analysis in GIS,the landscape perception and value orientation of tourists are analyzed in detail from two aspects of temporal and spatial characteristics,so as to explore the method of photo visual semantics for mining tourists' value orientation.The research results are as follows:(1)The spatial differentiation characteristics of tourists' visual landscape perception in xiong'an new area:1)From an overall perspective,tourists' perception of the three landscape images of cultural scenery,natural scenery and characters in xiong'an new area generally presents the spatial distribution characteristics of "concentrated and continuous",and the perception of the two landscape images of plants and water generally presents the spatial distribution characteristics of "extremely significant",especially for food,architecture,culture and art The perception of the four landscape images of the facility generally presents the characteristics of "cluster" spatial distribution.2)From the perspective of interannual change,the hot areas of tourists' perception of the nine landscape images in xiong'an new area show a trend of transferring from Baiyangdian scenic area to Anxin,Rongcheng and Xiongxian,forming three areas of Rongcheng urban area-government service center,Xiongxian urban area and Anxin urban area-Baiyangdian tourist focus.3)From the perspective of seasonal differences,tourists' perception of the nine landscape images generally presents a "point" distribution in spring,a "Y" distribution in summer,a "mass" distribution in autumn and a "patch" distribution in winter,(2)The characteristics of temporal differentiation of tourists' visual landscape perception in xiong'an New Area:1)from the perspective of interannual change: in terms of landscape perception,since the establishment of xiong'an New Area in April 2017,tourists have the most prominent perception of rainy lakes,wild roses,wild mushrooms and other natural landscapes,the architectural landscape in xiong'an new area is relatively lacking,and the number of tourists taking photos is also small,In the future construction,we should pay attention to the planning of this kind of landscape to enrich the local landscape types.In terms of landscape perception image,tourists' attention to landscape images such as food,culture and art,architecture and facilities shows an upward trend,indicating that in the four years of construction,xiong'an new area has gradually formed a certain urbanization element landscape.In terms of value orientation,both high-frequency and low-frequency words indicate that since the establishment of xiong'an new area,tourists' sightseeing behavior is mainly based on the material layer of realizing their own needs;In the middle frequency words,the positive emotion in the emotional layer is dominant,and the number has an upward trend.2)From the perspective of seasonal differences: in terms of landscape perception,tourists in spring and winter mainly focus on the landscape of cultural life;Tourists in summer and autumn pay more attention to the natural landscape represented by Baiyangdian while paying attention to the landscape of cultural life.In terms of landscape perception image,tourists pay more attention to landscape images such as plants,water and natural scenery in summer and autumn;Attention to food,characters,culture and art,cultural scenery and other landscape images is higher in spring and winter.In terms of value orientation,in high-frequency words,tourists in the four seasons take the material layer to realize their own needs as the leading value orientation.The middle frequency words are dominated by the emotional layer,the frequency of positive emotional words is high in summer and winter,and the negative emotional expression is concentrated in spring and winter.In the low-frequency words,the material layer is dominant.In summer,tourists pay attention to all kinds of landscapes and tend to diversified sightseeing behavior;In the affective layer,the frequency of positive and negative words is the highest in winter and the lowest in summer;In the spiritual layer,spring and winter show the pursuit of a peaceful atmosphere dominated by local tourists and with the Spring Festival as an important node,showing the Chinese people's unique emotion for "Spring Festival".Summer and autumn pay attention to the pursuit of movement and beauty.