Research On The Space Structure And Tourist Behavior Of Scenic Spots Based On Big Data And Spatial Syntax

Tourists are the main users of the scenic spot,and their behavior characteristics in the scenic spot are the most authentic reflection of the scenic spot environment.In this study,the tourists in Nanjing Yuhuatai scenic spot are selected as the research object,based on the data of tourist volume and thermal map within the scenic spot,and combined with field research,the tourists' characteristics in different time and space are studied.Finally,the paper analyzes the spatial structure of the scenic spot combining with the spatial syntax,analyzes the causes of the phenomenon of tourists' appreciation from the perspective of spatial structure,and puts forward the existing problems of the scenic spot in combination with various aspects,and then puts forward corresponding countermeasures and suggestions.The main research contents can be summarized as follows:(1)According to the time distribution characteristics of tourists,this paper mainly analyzes the seasonal and daily variation characteristics of tourists in the scenic spot,and summarizes the daily variation pattern of tourists.(2)According to the spatial distribution characteristics of tourists,this paper mainly makes statistical and comparative analysis on the areas of hot and sub hot areas in the scenic spot on weekdays,weekends and holidays,and studies the agglomeration degree of the crowd in the scenic spot.At the same time,a week time is chosen in spring,summer and autumn,and the sub hot areas with high,high and common people flow density are counted at eight different time points in a day Finally,it analyzes and compares the number of tourists' activities in each functional area,and studies the current situation of the use of different functional areas.(3)Combined with the theory of spatial syntax,using the four variables of global integration degree,local integration degree,comprehensibility degree and spatial efficiency value in spatial syntax,this paper analyzes the global accessibility,local accessibility,perceived accessibility and psychological accessibility of the scenic spot,and comprehensively analyzes the accessibility of the scenic spot.(4)This paper analyzes the correlation between the spatial data results obtained by spatial sentence method and the data results of tourist behavior,discusses the relationship between spatial accessibility and the number of tourist density aggregation from the perspective of spatial structure,then analyze and summarize the factors influencing tourists'behavior.(5)Combined with big data research method and spatial syntax,this paper summarizes and analyzes the current problems of the whole scenic spot,and puts forward optimization and improvement strategies,hoping to provide reference for the planning and construction of similar scenic spots.(6)Summarize and discuss the whole research,and put forward reasonable supplement and prospect for the follow-up research.This paper creatively applies the spatial syntax and location big data to the study of tourists' behavior in modern scenic spots,completes the study of tourists' behavior and spatial structure in the whole scenic spot,and puts forward the optimization strategies in the aspects of optimizing the spatial accessibility of scenic spots,enhancing the attraction of scenic spots,improving the management and service of scenic spots,so as to reasonably plan the space of similar scenic spots in the future and scientifically control the tourism The number of people and the improvement of tourists' comfort provide new research ideas.