Study On The Optimal Design Strategy Of Urban Waterfront Greenway Under The Concept Of Park

With the continuous development of urbanization,urban residents have increasingly strict requirements for the quality of green space in the city,and people’s demand for "greenery in the window and greenery in the door" has become more and more urgent,and urban greenway construction and greenway quality improvement is one of the ways to practice.At present,China’s more mature greenway construction is concentrated in large cities,such as Guangzhou,Hangzhou,Chengdu,etc.,such large cities are also more abundant types of greenway construction,while China’s urban greenway construction is still in a period of vigorous development,each town relying on the local characteristics of the greenway construction and optimization activities are in full swing.In 2018,the concept of "park city" has provided a new model for the development of urban construction in China,and the concept of park city has also provided a new perspective and new opportunities for the construction and optimization of urban greenways.However,since the cross-study of park city concept and town waterfront greenway optimization in China is still in its initial stage,there are still gaps in the study of waterfront greenway optimization in small towns,and there is less theoretical and practical experience in the cross-study of park city concept and small town waterfront greenway.Therefore,there is an urgent need to research and explore the optimization strategies of waterfront greenways in towns under the guidance of the park city concept.This thesis summarizes the literature on greenways at home and abroad,domestic and foreign park city related theories and practices through literature research method,and explores the optimization strategies of urban waterfront greenways under the park city concept.This thesis takes Enshi waterfront greenway as an example,and selects the completed and put into use section of Enshi Qingjiang Greenway Hongjiang Bridge-Dongmen Bridge Road in Enshi waterfront greenway as the research object,and obtains the evaluation results of users’ use of Enshi waterfront greenway through literature research method,field research,post-use evaluation and fuzzy comprehensive evaluation,etc.The evaluation The results show that the overall rating of Enshi Waterfront Greenway is 85,and the natural environment and trail system of Enshi Waterfront Greenway are good,but there are shortcomings in the human environment,facilities and maintenance management of the greenway.In view of the shortcomings of the Enshi waterfront greenway summarizes five points of Enshi waterfront greenway optimization strategy: 1.In-depth excavation of local characteristics of cultural elements to create a cultural waterfront greenway landscape;2.Strengthen the maintenance and management of the greenway to enhance the effect of the greenway landscape;3.Improve the utilization rate of the greenway space,improve the greenway facilities;4.Creating characteristic industries along the route and promoting the development of the park+greenway model;5.Build the greenway Intelligent platform to realize the Internet + greenway model.The thesis also focuses on the current situation of some of the waterfront greenways in Enshi and the practice of landscape optimization design.This thesis expects that through the study of urban waterfront greenway landscape optimization strategy and the practice of landscape optimization design,the theory and practice of greenway will be enriched,and this will guide the practice of landscape optimization of waterfront greenway in Enshi,to create a livable,livable,livable,livable,livable and livable urban habitat environment,to achieve the harmonious unity of people,city,environment and industry,and expects that through the study of landscape optimization of waterfront greenway in Enshi can provide reference for the optimization of the same type of greenway.It is expected that the landscape optimization study of the waterfront greenway in Enshi can provide reference for the optimization of similar greenways.