摘要
随着大数据时代到来,收集在线游记文本建立文本数据库,可获取游客对旅游目的地的综合感知形象,为城市旅游目的地形象感知研究提供新的思路。以携程网、去哪儿网攻略收集的游客游记文本作为研究样本,基于旅游目的地形象感知"认知—情感"模型,运用文本分析法提取大连市的形象感知高频特征词,探索游客对大连市的旅游形象感知并运用百度指数分析校验。结果表明:(1)海洋、广场、公园是游客对于大连旅游形象的基本认知形象,体现其滨海旅游资源特色突出。(2)游客对于旅游资源、旅游环境、旅游活动的满意度较高,评价中以积极情感为主。消极感知的主要来源具体反映在景区(点)门票、旅游服务态度、交通基础设施破旧等旅游基础设施与配套方面。(3)整体形象感知上,大连市的整体形象感知是滨海旅游胜地、"广场之城",正面积极感知占比较高。(4)游记语义网络图呈"核心—次核心—外围"圈层结构,以大连为核心,大连—广场,大连—海洋,大连—老虎滩是网络图中联系较为密切的关系链。
With the advent of the era of big data,collecting online travel notes to build a text database can obtain the comprehensive perception of tourism destination image and provide new ideas for the perception research of urban tourism destination image.Taking the travel notes texts of tourists collected by Ctrip and Qunar as the research sample,based on the"cognition-emotion"model of perception of tourist destination image,the text analysis method is used to extract the high-frequency characteristic words of Dalian’s image perception,and explore tourists’perception of Dalian tourism image and use Baidu index to analyze and verify.The research results show that:1)Ocean,square and park are the most basic perceptions of Dalian’s tourism image,which reflects the outstanding characteristics of coastal tourism resources.2)Tourists are highly satisfied with tourism resources,tourism environment and tourism activities,and express their evaluation with positive emotions.The main sources of negative perceptions are specifically reflected in the tourist infrastructure and supporting facilities,such as scenic spot tickets,tourist service attitudes,dilapidated transportation infrastructure,etc.3)In terms of overall image perception,the overall image perception of Dalian is coastal tourist resort and"city of squares",which is mainly positive perception.4)The semantic network map of travel notes shows a"core-subcore-periphery"circle structure which takes Dalian as the core.Three network connections,Dalian-Plaza,Dalian-Ocean and Dalian-Laohutan,are the close relationship chains.
作者
谭红日
刘沛林
李伯华
TAN Hongri;LIU Peilin;LI Bohua(School of Geography,Liaoning Normal University,Dalian 116029,Liaoning,China;College of Economic&Management,Changsha University,Changsha 410002,Hunan,China;Research Base of Human Settlements and Environment,Hengyang Normal University,Hengyang 421002,Hunan,China;School of Tourism and Urban Studies,Hengyang Normal University,Hengyang 421002,Hunan,China)
出处
《经济地理》
CSSCI
CSCD
北大核心
2021年第3期231-239,共9页
Economic Geography
基金
湖南省人居环境学研究基地开放基金项目(RJ20K01)