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The Shanghai Tourist Attraction Network Pays Attention To The Characteristics Of The Popularity And The Analysis Of The Linkage Effect

Posted on:2021-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:B XieFull Text:PDF
GTID:2439330626954985Subject:Human Geography
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As tourism travel becomes an important part of daily life,the demand for tourism continues to grow.As an international metropolis,Shanghai's tourism industry is developing more rapidly.At the same time,with the development of the "Internet + Tourism" model,some tourism online platforms increasingly affect the tourist behavior of tourists,and the large amount of travel information published by tourists on the online platform provides a large number of data sources for tourism research.This paper sorts out related concepts and theories,and uses web crawler technology to use Shanghai travel notes published by tourists on the Ctrip website as a data source.It crawls 2,203 different tourists' text collections about Shanghai attractions travel notes to form text analysis data in this article.First,the Jieba Chinese word segmentation component in Python software is used to perform Chinese word segmentation on the travel text of Shanghai attractions.After the word segmentation,the TF-IDF algorithm is used to extract keywords and calculate their comprehensive weight.Then,based on this,the top 100 tourist attractions in Shanghai that are followed by tourists in their travel notes are extracted,and the spatial characteristics of online tourist attractions in Shanghai are analyzed.Finally,construct the co-occurrence matrix of these 100 Shanghai tourist attractions,use Gephi software for visual analysis to form a social network map of Shanghai tourist attractions,and tap the co-occurrence correlation effect between the attractions.(1)From the perspective of the hot spots of Shanghai tourist attractions network:(1)In general,the top 100 tourist attractions in Shanghai are divided into first-order hot spots and second-order hot spots,showing a high concentration in the central urban area,and other areas more scattered spatial features.(2)The attractions in different regions pay attention to the characteristics of heat.The 16 regions of Shanghai are divided into high-heat areas,medium-high heat areas,low-medium heat areas,and low-heat areas.Among them,Huangpu District and Pudong New District are the most popular attractions.The number of attractions included is large,and the attention of tourists at a single attraction is greater.The low-level attractions are Baoshan District,Putuo District,Changning District,Fengxian District,Yangpu District,and Jinshan District.The number of attractions included in these districts and counties Less.(3)The top 100 tourist attractions in Shanghai are divided into 8 categories according to the heat characteristics of different types of scenic spots.They are celebrities' former residence and historical memorial hall,animal and plant exhibition place,ruins and religious sacrifice place,garden and recreation place,recreation and leisure place,natural sightseeing and recreation area,characteristic block and landmark building,cultural and educational and cultural creative place.(2)From the perspective of the linkage effect of Shanghai's tourist attractions:(1)On the whole,the Bund,City God Temple,Oriental Pearl Tower,Lujiazui and other attractions are the core areas.The co-occurrence relationship of the attractions is strong.The weaker the relationship between them,and the tourist's online travels,the CCP now has a strong relationship with the attractions,and it is a well-known landmark in Shanghai.(2)From the perspective of co-occurrence relationships at different levels,the co-occurrence relationships of the top 100 attractions in Shanghai's tourist attractions are divided into three levels: core correlation layer,middle correlation layer and peripheral correlation layer.There are differences in the characteristics of the three levels of co-occurrence relationships.(3)Through the modularized analysis of the popular tourist attractions in Shanghai,7 different groups are obtained.Each group contains certain co-occurrence features,forming a group of yellow nodes centered on Xujiahui and Xujiahui Catholic Church,with the blue node group centered on Xintiandi,Tianzifang,Wu Kang Road and Huaihailu Road,and the town of Thames.A group of purple nodes is formed at the center of Zhujiajue ancient town and Zhongshan Park.The orange group with Chongming Island as its core contains only the yellow group of two attractions of Disney Park and Disney Town,the pink group with Jingan Temple as the center,and the seven group of green group centered on the Bund and Oriental Pearl.(3)Development optimization strategy of tourist attractions in Shanghai: from the construction of scenic waterways,strengthen the connection of coastal attractions;Strengthen the connection of similar scenic spots,design theme line tourism;Tourist attractions in adjacent areas are grouped and developed to guide tourism development in a differentiated way.Grasping tourists' preferences and carrying out accurate publicity,this paper puts forward optimization strategies to promote the development of tourist attractions in Shanghai.
Keywords/Search Tags:tourist attractions, network attention heat, Co-occurrence relationship, Shanghai
PDF Full Text Request
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