Research On The Evaluation And Optimization Of Green Visual Rate Of Urban Parks Based On Tourist Satisfaction ——A Case Study Of Muye Park In The Xinxiang City

In recent years,the focus of urban construction has gradually shifted from incremental to stock.Urban green space can provide citizens with functions such as leisure and recreation,and is a key site for stock optimization in the city.The traditional urban green space index is mostly quantified on the two-dimensional plane of the urban greening level,and the evaluation in the three-dimensional space is easy to be ignored.City parks are an important part of urban green space.Visitors’ evaluation of urban parks depends more on the feeling of the three-dimensional landscape seen in the eyes and the comfort of using the functions.Therefore,the green visual rate that can reflect the three-dimensional greening is particularly important.As an indicator that can fully reflect the quality of the visual landscape of the space,the green view index（GVI）reflects the quality of the green level of the space in a quantitative form,which is in line with people’s intuitive feelings about greening.Using tourist satisfaction to evaluate the green visual rate of urban parks,the correlation between satisfaction and green visual rate can be analyzed,and the grasp of improving the quality of urban park landscapes can be effectively found.For green vision,researchers mostly studied street greening,residential greening and urban park greening levels from the perspective of health and comfort.Combined with the subjective evaluation of tourists,it can promote the determination of reasonable intervals under different conditions,and can also provide a scientific basis for the in-depth construction of urban threedimensional greening and urban livability.In this paper,taking Makino Park in Xinxiang City as the research object,after one year of observation and sampling（December 2020 to November 2021）,the green visual rate and tourist satisfaction of the relevant spatial units were obtained through photography,software analysis and questionnaire surveys and other methods at a frequency of each month.By analyzing the correlation between satisfaction and green visuality,the green visual rate of park space under different conditions is evaluated,and the main conclusions of related optimization strategies are proposed as follows:（1）For a medium-sized urban park,there are large differences in time and space between green vision rate and satisfaction.Taking Makino Park as an example,at the time level,the monthly average of the green vision rate of the park is the highest of 38.64%,and the lowest is5.59%.Winter tourist satisfaction is basically more satisfactory,but the satisfaction level span is larger,spring tourist satisfaction is mostly general and basically dissatisfied,summer and autumn tourist satisfaction is basically concentrated in general and relatively satisfied,indicating that there are seasonal differences in tourist satisfaction evaluation.According to the spatial type,the mean green visuality of the shady space and the road space was higher,which was 36.63% and 29.93%,respectively,and the average green visuality of the grassland space,hard space and waterfront space decreased sequentially,29.62%,22.23% and 20.80%,respectively,and the lowest green visuality of the sand space was 15.87%.The satisfaction of these spatial types also shows a gradual decline,reflecting a certain correlation.（2）The satisfaction of tourists varies greatly in different spatial types,and the high satisfaction of tourists and the green visual rate reproduce regularly in some intervals.When the satisfaction of tourists reaches the best effect,the average green visuality of sand space is above 50%,the average green visual rate of hard space and road space is in the range of 50%-60%,the average green visuality of waterfront space is in the range of 40%-70%,the average green visuality of grassland space is in the range of 50%-90%,and the average green visuality of shady space is in the range of 40%-60%.According to the quantitative research results,this paper proposes an optimization strategy for Makino Park.Through a series of measures such as enriching the level of plant communities,greening the waterfront space,strengthening seasonal management and regular care of greening,a series of measures are proposed,such as improving the improvement and optimization methods of the whole park,especially the greening,in order to improve the quality of the park landscape and enhance the satisfaction of tourists with the urban park.