| Park green spaces,which are open spaces with high vegetation coverage in parks,play an essential role in the connection between humans and nature.Reachability of park green space refers to the ease of residents to reach the park green space,which is an important indicator affecting the quality of life of residents.However,many studies show that the uneven distribution of reachability of park green space leads to unfair social environment.Therefore,it is very important to analyze,evaluate and reasonably improve the reachability of park green space.At present,most of the research methods on the evaluation of park green space reachability use the traditional Gauss two-step mobile search method,but the traditional research results have some errors with the reality.In order to make up for this error,this research replaces the original population data and road network distance by using real-time big data such as Baidu Thermal Map population data and Gaode path planning time,thus improving the traditional Gauss two-step mobile search method,so as to better reflect the real situation of the reachability of parks and green spaces in Nanjing.Based on big data,this paper uses the improved Gauss two-step mobile search method to analyze,evaluate and reasonably improve the reachability of parks and green spaces in Nanjing.Firstly,based on existing research,the characteristics of residents’ demand for park green space were summarized and explored,and the current supply and demand situation of park green space in Nanjing was analyzed.Secondly,by improving the Gauss two-step mobile search method,a model is established to calculate the reachability of urban park green space.Then,from different types of parks,different travel modes and different periods of time,the change characteristics of reachability of parks and green spaces in Nanjing were discussed and evaluated.Finally,we chose the area with poor reachability to optimize the design of the new park.When optimizing the design of the new green park,we considered the park site selection and external traffic location,the diversity of the park’s internal landscape,ecological coordination,and how to highlight the city image and other factors.By optimizing the design of the new park,the reachability of the park green space in Nanjing will be improved.Based on the entire text,the following conclusions can be drawn:(1)In terms of the evaluation of the accessibility of urban park green space in Nanjing City:(1)In terms of transportation modes and spatial dimensions,the accessibility of park green space for walking,electric bicycle,and automobile transportation modes is higher in central urban areas,while the accessibility of park green space for public transportation modes varies depending on the type of park.(2)In terms of time dimension,the accessibility of park green space in the morning and noon is higher,while the accessibility of park green space in the evening is lower.(3)In all urban areas,by comparing the green space accessibility of various transportation modes and different types of parks,Nanjing Liuhe District has the lowest overall green space accessibility,and the park green space accessibility in the northern area of Nanjing Liuhe District is lower than that in the southern area.Therefore,it is recommended to select a site in the northern area of Liuhe District and build a new green space park to improve the park green space accessibility in this area.(2)In terms of optimal design of urban park green space:(1)Analyze the traffic location of the newly built park,and reasonably set up park sightseeing routes.(2)The design concept of "being close to nature and embracing nature" is permeated,and plant landscape elements are selected according to local conditions,while being rich in diversity.(3)The integration of local characteristic elements makes the newly built park humanistic and displays the image of the city. |
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