Optimal Design Of Urban Walking Street Pedestrian Space Greening Based On Green View Index

Street greening is an important part of the urban greening system,which has the functions of connecting the city’s green network,promoting green transportation,and shaping a livable environment for residents.After years of construction,the greening of streets in Wuhan has begun to take shape,but the greening construction of pedestrian spaces in the main urban area has not been effectively optimized.Compared with the traditional two-dimensional evaluation indicators such as green coverage index and green space index calculated based on remote sensing maps and design drawings,the green vision index indicator can better reflect the three-dimensional greening composition of the street,and truly reflect the visual ecological experience of street greening to users.Therefore,from the perspective of increasing the green vision rate,this article selects eight representative streets in Wuhan’s main urban area for field photography surveys.At the same time,it uses the full convolutional neural network automatic recognition algorithm,Baidu street view map and VR panoramic technology,from pedestrians to pedestrians.The two perspectives of Hechexing comprehensively evaluate the current status of the green view index of the research street,extract the spatial structure of the green view index in the life-style street greening,explore the quantitative characteristics of street greening distribution,and explore a more ideal life-style street greening model.Establish green optimization design criteria applicable to urban life-style streets in Wuhan.The following is the main research process and conclusions of this article:(1)Check the data and select the life-style streets in Wuhan.Based on the street view pictures of Baidu and the street view pictures taken by the camera,the green vision rate of the research objects and related data collection and analysis are carried out;among the eight research streets,four streets are green.The average viewing rate is lower than the average street viewing rate in Wuhan,indicating that the greening construction of life-style streets in the main urban area still needs to be further improved.Street green view index is composed of front and rear green view indexs and left and right green view indexs.The front and rear green view indexs have a greater impact on it,indicating that the current lifestyle street greening in Wuhan is still dominated by street trees,and the street tree green belt lacks a composite green structure.,There is a lack of greening at the building interface along the street;using SPSS26 analysis,it is found that the street green view index is significantly positively correlated with the plant tree height,crown width,and crown height into a medium intensity,and has a medium intensity negative correlation with the street width and tree height ratio,and is correlated with the road section form,Plant configuration,diameter at breast height,and height under branch showed a weak positive correlation.There is no significant correlation with street red line width and sidewalk width.The spatial distribution level of the green vision rate of Wuhan’s streets is divided into five categories.The upper level green vision rate accounts for 100% of the total green vision rate of the sample site,the upper level green vision rate accounts for more than 90% of the green vision space,and the upper level green vision rate and The green vision rates of the middle and lower levels each account for about 50% of the total green vision rate of the sample points,the green vision rates of the middle and lower levels account for 100% of the green vision space,and the green vision rates of the upper and middle and lower levels each account for about 20% and 80% of the total green vision rate.%.(2)Based on the sample plant data and the status quo of life-style streets in Wuhan,25 groups of street greening models under the corresponding green view index were established and transformed into a VR panorama model for satisfaction evaluation.Research has determined that the green view index value of the most suitable life-style streets in Wuhan is 22%.It proves that under the condition of controlling the street width and building bases on both sides to be consistent,the level of green vision is not the only factor that determines satisfaction,and there are many greening construction models with low green vision and high satisfaction.(3)By analyzing the comparison analysis of the VR panorama model and the greening construction mode of the pedestrian space in Wuhan’s life-style streets,evaluate the pros and cons of various greening forms,and propose suitable greening that can increase the visible green space according to the situation of different street sites.Optimize suggestions and complete specific and instructive plans.