| In recent years,with the development of artificial intelligence and the expansion of the market share of online tourism platforms,the study of network data has gradually become a new field of research in landscape architecture and even all walks of life.At present,landscape tourism planning and landscape resource management mainly focus on resources,ignoring the behavioral needs of "people" as site users.In order to study the spatiotemporal characteristics of scenic tour behavior and the characteristics of tour path in a certain spatiotemporal range,provide reference for Hunan scenic spot tour planning,and then discuss the feasibility of the research method of the spatiotemporal characteristics of scenic tour behavior.Based on the theory of time geography and the theory of tourist behavior,this study used Python language to retrieve 9630 pieces of traveloginal data from Ctrip,Qunar and Hornet’s Nnest tourism websites in recent five years.After cleaning and processing,3037 pieces of valid data were obtained.Taking 104 scenic spots involved in travel notes as the research unit,the temporal and spatial behavior database is constructed.Spatial-temporal density based spatial clustering of applications with noise was used to cluster the data.ArcGIS10.7 and GraphPad Prism software were used for visualization analysis and correlation analysis.The spatiotemporal characteristics of Hunan’s scenic sightseeing behavior are as follows:(1)The behaviors of tourists’ scenic sightseeing are mainly traditional ones.The behaviors of non-differentiated behaviors,those closely related to the natural landforms of scenic spots,those closely related to the humanistic characteristics and those closely related to the seasons appear less frequently,but they are also the main behaviors of tourists in tourism.The seasonal distribution of landscape appreciation behavior is obvious,showing a trend of "little difference in spring and summer,low in autumn and high in winter".They are mainly distributed in the space with Wulingyuan,Phoenix Ancient City and Yuelu Mountain--Orange Island as the core,"scattered around well-known scenic spots in circles".(2)The seasonal spatial and temporal clustering of tourists’ traveling behaviors is not obvious,and the clustering areas are mainly concentrated in the triangle areas with Zhangjiajie,Xiangxi and Changzhutan as the core,and the distribution pattern is"regional clustering and overall dispersion".Southern Hunan and Dongting Lake have low regional aggregation,strong in the west and weak in the east,and the overall development is unbalanced.(3)From the perspective of tourist trajectories,Wulingyuan,Fenghuang Ancient City,Yuelu Mountain and other famous scenic spots in Hunan Province as a whole show radioactive distribution,radiating the whole province,forming the spatial distribution feature of "divergent center and balanced distribution",but there are relatively few mobile trajectories among other scenic spots.(4)By analyzing the reasons for the spatial and temporal distribution of scenic tourism behavior in Hunan Province,it can be seen that the spatial and temporal distribution characteristics of scenic tourism behavior(based on the annual core density of scenic spots)are positively correlated with the number of visitors and the GDP of the city where it is located,and negatively correlated with the distance of surrounding well-known scenic spots,which is a typical "black under the lights" phenomenon.Based on the analysis of the research results of tourists’ behavior characteristics of scenic tour,in order to enhance the tourism planning of scenic spots in Hunan Province and the healthy and sustainable development of scenic spots in the ecological and cultural aspects,some enlightenment can be obtained:(1)to strengthen the provincial transportation planning and improve the accessibility of scenic spots.(2)Guide the coordinated development of regional scenic Tours.(3)Create quality service experience and increase experience-based tour activities.The characteristics and innovations of this study are as follows:(1)The research object of this study is each scenic spot in Hunan Province,and the temporal and spatial characteristics of scenic tourism behavior are studied from the provincial perspective,so as to provide reference for regional scenic tourism planning and resource conservation and development,and make up for the gap of large-scale behavioral research;(2)On the basis of the spatio-temporal database,this study added the data types of scenic sightseeing behavior to construct the "spatio-temporal behavior database" of scenic sightseeing behavior in Hunan Province in recent five years,and then carried out the spatio-temporal study of scenic sightseeing behavior,the study of the track of scenic sightseeing behavior and the study of the spatio-temporal characteristics of travel behavior;(3)ST-DBSCAN algorithm is used to combine time and space to flexibly study spatial aggregation characteristics in a certain period of time.At the same time,this paper probes into the behavioral characteristics of tourists in the three dimensions of "time,space and behavior" during the whole process of landscape sightseeing,so as to provide theoretical support for the follow-up research on tourists’ motivation and preference for sightseeing.By studying the spatial-temporal characteristics of scenic tour behavior in Hunan Province,this paper proves that the data of online travel notes can be used to accurately extract the spatial-temporal data of scenic tour behavior and construct a database.Then,ST-DBSCAN algorithm,spatial analysis tools,social network analysis,Pearson correlation and other methods are used to analyze the spatial and temporal characteristics of scenic tour behavior,the spatial and temporal characteristics of travel behavior and the law of scenic tour track.The method is feasible.However,due to the limitation of travel notes covering groups,the results of analyzing the behavior of scenic Tours through online travel notes can only reflect the behavioral space-time rules of a part of groups.Therefore,the results of this study can only be used as a reference and can only be universal if they are studied together with the statistical information of relevant departments. |
PDF Full Text Request