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Research On The Characteristics Of The Spatial Structure Of Nanjing's Tourist Route Network And Tourists' Emotions

Posted on:2021-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:Y C ShenFull Text:PDF
GTID:2438330647958450Subject:Tourism Management
Abstract/Summary:PDF Full Text Request
With the advent of the era of mass tourism,the characteristics of individualized and personalized tourism are becoming increasingly apparent.In order to meet the increasing consumer demand of tourists,the country has proposed the concept of global tourism,cultural and tourism integration to promote the development of tourism into a new era of cross-border integration.New forms of sports and tourism industry have emerged continuously.In this context,the destination's tourist routes gradually jumped out of the traditional tourist nodes,and the network spatial structure characteristics of the tourist routes changed dramatically.There is a typical emotional bond between people and land.Tourists 'emotions run through the entire process of tourist activities and are closely related to tourists' behavioral intentions.This paper uses travel text data to analyze the spatial characteristics of destination travel route network structure and changes in tourists 'emotional experience,and to explore the factors affecting the travel route network structure in combination with tourists' emotions and geographical elements of tourist destinations.This will enrich the research content of the spatial characteristics of the city-scale tourism route network structure,deepen the cross integration of emotional geography and tourism disciplines,and guide destinations to optimize the route network,and provide a reference for the optimization of the destination tourism route network.This article uses Nanjing as a case to explore the characteristics of tourist route selection behavior and emotional experience projected by tourists in the information space.Firstly,use web crawler technology to obtain Ctrip and Ma Honeycomb website visitors 'travel texts in Nanjing in the past two years.Denoise processing is used to obtain tourists' travel route data and emotional sentence data,and construct network evaluation indicators.Secondly,based on the social network analysis method,Ucinet,Arc GIS and other software are used to analyze the overall and node structure characteristics of the Nanjing tourist route network,and the data is expressed visually.Based on this,combined with the characteristics of the index,the tourism nodes are divided into levels and located,and the spatial distribution characteristics of the tourism routes are analyzed in depth.At the same time,by using a custom sentiment dictionary,the content analysis method is used to calculate the sentiment values and high-frequency sentiment words of tourists,and the affective sentence is used to analyze the impact of emotional changes on tourist behavior intentions.Finally,combining the emotional experience of tourists and the geospatial elements of tourist destinations,this paper explores the influencing factors and deficiencies of the spatial characteristics of the structure of the tourist route network in Nanjing in the context of cross-border tourism integration,and proposes optimization strategies.The research conclusions of this paper are as follows:(1)The network density of Nanjing's tourist routes is low,and the overall network structure is loose,but the aggregation coefficient is high,the average path is short,and the small-world phenomenon is obvious.The distribution and transfer of the network mainly depends on core nodes.The intra-area connections are tight and the "trickle effect" on the marginal area is stronger than the degree of connection between the nodes inside the marginal area.Each node can be divided into five levels: core node,sub-core node,important node,general node,and edge node.According to the prominent role played by some nodes in the tourism route network,they can be located,distributed,transit,starting point and other functions.(2)The traffic distribution of the tourist route network presents an obvious gradient distribution characteristic,the spatial distribution of the tourist route presents a radial pattern of "dense in the middle and sparse surrounding",and the core nodes have obvious clustering characteristics.The central city has dense tourist routes and large passenger flow,forming a core route combination consisting of Confucius Temple,Zhongshan Scenic Area,Presidential Palace,Holocaust Memorial Hall,Xuanwu Lake,Nanjing Museum,Laomen East,and Ming City Wall.Peripheral areas form tourist routes mainly based on Pukou Railway Station,Yangtze River Bridge,Niushou Mountain,Qixia Mountain and other tourist nodes.(3)Tourists show obvious positive emotions in the process of traveling in Nanjing.The number of positive emotional sentences,emotional values,and frequency distribution of positive emotional words all lead the way.Tourist nodes with well-known tourist destinations,convenient transportation,catering,accommodation,shopping and other supporting facilities will trigger tourists 'positive emotions and stimulate tourists' purchase of tourism products;the node quality is lower than expected,the congestion perception is strong,the information release is delayed,and the suburban twists and turns.Traffic conditions and other factors will trigger negative emotions of tourists,which will cause tourists to take actions such as shortening the residence time of tourist nodes and changing the arrangements of tourist routes.(4)The spatial distribution of destination tourism resources,tourism transportation,and tourism supporting facilities are highly coincident with the spatial distribution of tourism routes,and their quantity and quality are positively related to tourists' emotions and the degree of agglomeration of tourist nodes;destination tourism information services and individual characteristics of tourists affect tourists flexibility and diversity of choice.Based on the analysis of influencing factors,this article proposes suggestions for the optimization of the network structure of the tourist route network in Nanjing,with a view to improving the network structure of the tourist route and improving the quality of tourism services in Nanjing.
Keywords/Search Tags:Tourism route network, Spatial structure characteristics, Tourist emotion, data, Influencing factors, Nanjing
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