The Study Of Novel Method For Extracting Spatial Boundary Of Tourist Activity And Spatial-temproal Evolution

As a complex of tourist activities and social economy,scenic spots have the most basic feature of agglomeration effect.As the main body of tourism,exploring the behavior space of tourists is the basis of tourism management and tourism research.Quantitatively research the spatial boundaries of tourists activity helps to optimize the spatial structure of scenic spots,design emergency plans and measures,understand behavioral decision-making mechanisms,and coordinate the functions of various organizations.It is of great significance to the sustainable development of scenic spots and the improvement of tourism benefits.Weibo sign-in data intuitively and effectively reflects its temporal and spatial distribution characteristics.Compared with large-scale geospatial research,the spatial activities of tourists at the microscale have more complex internal structures and spatial differentiation characteristics,using traditional geographic boundary extraction The method is difficult to effectively identify the spatial boundaries of tourists' behavior and lacks geographical significance.In order to accurately depict the boundary of tourist activity space and explore the spatial aggregation pattern of tourists,this paper draws on the theory of circle structure,uses the spatio-temporal information contained in long-term Sina Microblog sigin-in data,analyzes the expansion pattern of tourists' spatial distribution,and explores the relationship between geographical elements.A new method of spatial boundary extraction for tourist activities based on structural theory solves the problems of inaccurate fitting of spatial boundaries and lack of geographical significance in traditional methods.This article conducts research from three aspects:(1)Research on the extraction method of the space boundary of tourist activity: In order to achieve the best fit of the space boundary to the sign-in data,this paper divides the circle of visitor distribution space based on the optimized kernel density contour,and explores the relationship of geographical elements within each circle layer And the expansion rules of boundary indicators,analyze the spatial and temporal distribution characteristics and aggregation patterns of tourists;use kernel density estimation to identify tourist distribution centers,and calculate the spatial equilibrium of tourist distribution based on the entropy model,through the analysis of the amount of sign-in and boundary area changes within the boundary of each level circle Tourist activity diffusion characteristics,the establishment of "Hie-Density" model to extract the boundaries of tourist activity space."Hie-Density" uses the model output series of indicators to describe the variation law of the tourists' space-time distribution curve,and recognizes the threshold to determine the optimal behavior space boundary.(2)Analysis of the spatial and temporal evolution of the spatial boundary of tourist activities in Lijiang Old Town: Using Weibo check-in data,the spatial and temporal evolution characteristics of the tourist activity boundary of Lijiang Ancient Town are explored based on four time scales of different seasons,years,weeks,and days.The difference in scope is obvious,and the area of tourist activities has seasonal continuity;the range of visitor activities during the year shows a symmetrical trend with July as the boundary;the coupling of spatial characteristics of visitor activities during the week is high;Based on "Hie-Density",it explains the spatial diffusivity of tourists' activities and the differences in spatial attributes,and analyzes the behavior patterns and reachable change characteristics of tourists around tourist attractions at different time scales.(3)Comparative study of tourist activity boundaries in multiple tourist destinations: From the perspective of landscape type,scenic area size,passenger flow,route shape and tour mode,this paper selects five tourist destinations as Wutai Mountain,Sanqing Mountain,Jiuzhaigou,Dali Ancient City and Phoenix Ancient City as cases Based on the "Hie-Densiy" model,extract the borders of tourists' check-in behavior from January 2012 to December 2018,and analyze the characteristics of the tourist activity boundaries in various scenic spots.The study found that the spatial expansion characteristics and behavior boundaries of tourism activities of different types of scenic spots are significantly different,and there are certain differences in the activity boundaries of scenic spots of the same type.Due to the complexity of tourist behavior and the fuzziness of boundaries,it is difficult to effectively identify the boundaries of tourist activity space using traditional geographic boundary extraction methods.In this paper,in-depth discussion on this issue is proposed,and a new method for the extraction of tourist activity space boundaries based on the theory of circle structure is proposed.Multiple cases show that "Hie-Density" is suitable for the extraction of multi-scale complex tourist activity space boundaries in scenic spots,which can effectively calculate the spatial agglomeration characteristics of tourist distribution;make the results of tourist activity space boundary extraction more objective,the spatial model expression more detailed;the model is flexible And it has high scalability,which can effectively reflect the differentiated characteristics of the spatial pattern of tourists 'behavior and its evolution direction,and has a certain supporting role for the description of the spatial structure of tourists' activities and its formation mechanism.This article explores the macro-evolution of the main system through the synergy of the circle-level subsystems from a micro perspective,and proves that the "Hie-Density" model supports the description of multiple tourist distribution models,and proves the superiority and practicability of the method through case-driven.This method can quantitatively identify the optimal boundary of tourists' activities,the spatial distribution state,the characteristics of center splitting and the direction of boundary evolution according to the model change curve,provide a feasible reference for the study of geographic spatiotemporal data mining,and provide theoretical support for the scientific and rational development of scenic spots.