| With the rapid development of urbanization in China,more and more cities,counties and districts are spreading in the form of "pie spreading".With the increase of population and the improvement of urban functions,the urban system tends to be complex and huge.Urban residents are the main operators and users of this complex and huge urban system.They are the bridge connecting all geographic information points of the city.Every day,huge "flow" bodies such as people flow,vehicle flow and information flow circulate in the urban system.These "flow" bodies make the geographic information points of the city interact with each other,which affects the relationship between the two geographic information points from a macro perspective The internal structural characteristics of information points are influenced from micro aspects.In the past ten years,with the improvement of urban infrastructure,urban parks as an important part of urban infrastructure investment and construction,after the completion of the urban park in its construction mode,type and the object that the park serves have different performance characteristics.The characteristics of Park differences are affected by the surrounding environment of the Park area,but also affect the park and its week The layout and structure of edge geographic information points,which interact with each other,constitute a dynamic and stable urban layout structure.It is of great significance to study the relationship between the activity of tourists in urban parks and the information points around them,so as to make clear the use of parks and the layout of parks in cities.In this paper,big data technology and mathematical statistical methods are used as research means.By crawling the real-time thermal data of Chongqing Park samples that meet the experimental statistical conditions and the geographic information points within 1500 meters outside the park,the external correlation between the two and their internal influence and change mechanism are discussed,so as to summarize the corresponding construction or planning suggestions.The main research process and conclusions are as follows:(1)By means of Python programming technology,the thermal distribution map of the number of people in each district of Chongqing is crawled.According to the thermal state and industry standards of each district,the urban comprehensive park in the inner side of Chongqing inner ring expressway with the highest thermal value is determined as the research object,and the thermal value of the number of people in the urban park sample is monitored for 14 days.Through the data analysis,we find that: first,there are great differences in the activity of tourists among the sample parks,which are reflected in the net tourist capacity per hour,the rate of tourists entering and leaving the park and the change range of the number of tourists per hour;second,there are similar trends between the parks.The obtained thermal data of the park lay a foundation for in-depth discussion of the characteristics of park visitors and analysis of the internal changes of the park.(2)Taking Baidu,Tencent and Gaode map as the research data source and Pearson correlation coefficient as the statistical means,the geographic information points within 1500 m of the selected sample park are obtained through the program script,and these geographic information points are classified.According to the factor correlation method,the relationship between the activity in the park and the number of information points around the park is further determined.The results show that there is a strong correlation between the activity of the park and the number of geographic information points around it.(3)Further integration and discussion of the data,comparative analysis of the park activity from the internal and external factors affecting the relationship between changes,analysis of the park activity changes caused by the internal activity indicators and external information points.According to the correlation intensity and change trend,the elements of change information points are classified,and the information points with strong relationship types are selected for accounting one by one,and finally the geographic information points that play the main role are determined.The experimental results show that: the information points in the core influence area 500 m outside the park boundary have the strongest influence on the activity of the park;the service and infrastructure information points have obvious strong influence on the activity of the park;the influence of the information point elements will quickly weaken after 500 m beyond the park boundary;the activity elements of park visitors are the main influence elements in the park;the park The correlation of activity in the afternoon was the strongest.(4)According to the experimental results,from the perspective of macro planning and micro design,the application methods based on the research conclusions of this paper are obtained:(1)the methods to improve the activity of parks from the perspective of urban planning and park design;(2)the ideas of park planning,design and layout optimization;(3)the park design program based on the characteristics of urban geographic information points.It discusses the relationship between the inner activity of the park and the surrounding geographic information points,and preliminarily obtains the possibility of the connection between the inner activity of the park and the surrounding geographic information points.The experimental results can provide decision-making reference and site optimization suggestions for urban planning and park management departments in urban layout,park operation and park planning and design.The purpose of this paper is to provide new ideas for the planning,design and transformation of urban parks by adjusting the internal and external state of urban parks,strengthening the contact and exchange between tourists inside the parks and other urban geographic information points. |
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