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Research On Rizards' Behavior Based On Blog

Posted on:2016-04-08Degree:MasterType:Thesis
Country:ChinaCandidate:M J ZhangFull Text:PDF
GTID:2175330464963580Subject:Human Geography
Abstract/Summary:PDF Full Text Request
The online social network has influenced the way people communicate and share information. As an important online social media, tourism blog provides visitors with the platform of showing its tourism experience, through third parties to understand the tourism products and services information. At the same time, the content of the tourists blog reflects the behavior of the tourists in the tourist destination and the attitude of the tourists to the tourist destination.Although the tourism blog provides a platform for the scholars and insiders to understand the tourist experience, the research on the content of the blog is still in the initial stage.Therefore,the purpose of this study is using the content analysis method to study the Tourism Blog of Rizhao tourists, based on the analysis of characteristics of tourists travel behavior, for the development of Rizhao tourism.The first chapter is the introduction, and the research background is firstly analyzed.. In the present,network infrastructure is improving, the smart terminal product is developing rapidly,which urges the Tourism Blog and its author’s quantity to grow rapidly.Secondly, this paper points out that Rizhao City is a typical tourist reception city. Through the blog to its tourists behavior research has a certain practical significance. Therefore, this paper is to determine the Tourism Blog of Rizhao tourists as the object of study, and the behavior of Rizhao tourist is analyzed by content analysis, narrative analysis and semantic network analysis.The second chapter is data acquisition and collation. Based on the pilot study,the Author collect travel blog from “http://www.ctrip.com/” and “http://www.mafengwo.cn/” and travel website.Then,the tourism blog is selected and randomly selected, and 400 Rizhao City tourists travel blog is selected as the data source of this paper.In addition, the travel blog is encoded and encoded after the consistency of processing.The third chapter mainly introduces the characteristics of the tourists and the regional distribution.This chapter summarizes the tourists population characteristics and regional distribution characteristics:(1) female tourists is almost twice the male tourists.(2) 84.25% of visitors is tourists outside the province, mainly distributed in nine provinces, such as Jiangsu Province, Hainan Province, Beijing Municipality, Hebei Province, Shanxi Province.The fourth chapter is the result and discussion. This chapter summarizes the tourism behavior of Rizhao tourists:(1) the main factors to attract tourists to Rizhao is marine characteristics, the main factors that tourists make travel decisions is leisure time.(2)the tourists to Rizhao is multi destination tourism.(3)Tourists usually adopts the self driving, followed by train and bus way to Rizhao for Tourism.(4)When go to Rizhao, tourists like to live in fishing astheir first choice.(5)In Rizhao, the most popular food is seafood, and the most popular places to eat is fishing, followed by the food stalls.(6) when went to Rizhao, tourists buy most things are seafood, and the most popular shopping place is the seafood market, the beach and the supermarket.(7)Although their are many tourist attractions, but tourists prefer the tourist attractions near the sea.(8)When the tourists travel in Rizhao,the most involved project are to catch up to the sea, take the boat, watching the sunrise, fishing, swimming, sunbathing, campfire and photographed. On the basis of these analyses, the author puts forward suggestions for the further development of tourism in Rizhao.The last chapter points out the shortcomings of data processing and analysis in the research,and makes a prospect for the following research to improve the data sources and enrich the research methods.
Keywords/Search Tags:travel blogs, tourist behavior, content analysis, Rizhao
PDF Full Text Request
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