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作 者:王子卓 薛岚 WANG Zizhuo;XUE Lan(Department of Tourism,Fudan University,Shanghai 200433,China)
机构地区:[1]复旦大学旅游学系,上海200433
出 处:《旅游学刊》2025年第4期122-133,共12页Tourism Tribune
基 金:国家自然科学基金项目“中国城市-乡村生活方式移民的乡村想象与日常生活研究”(42201250)资助。
摘 要:伴随着旅游需求的日益多样化和个性化,早市逐渐成为一种新兴的旅游吸引物,展现出丰富的地方特色和文化意涵。早市旅游作为一种回归日常的旅游形式,为游客提供了深入体验地方文化和生活方式的机会。文章基于真实性理论,探索了游客早市旅游过程中的真实性体验及其生成机制。通过对网络平台上用户分享的早市旅游体验相关文本的内容分析,研究发现,早市作为他者的日常生活场域,为游客提供了体验多维真实性的契机。具体而言,游客在早市旅游中同时体验到了客观主义、建构主义、存在主义真实性,且3种体验得以共存,得益于早市的“日常性”特征。文章剖析了旅游体验与他者日常生活的深层次关系,有助于深入理解早市旅游、菜市场旅游等回归日常的旅游方式,并为业界实践和政策制定提供一定的理论启示。Morning markets are integral to the cultural fabric of communities,serving as more than mere commercial hubs;they are a gateway to local culture and a reflection of a way of life.In an era marked by rapid urbanization and globalization,these traditional markets have become vital symbols of local lifestyle and culture,attracting tourists eager to experience authenticity.The popularity of morning markets,such as Jinzhou Shiqiaozi,Hangzhou Damanong,and Kunming Zhuanxin,underscores their evolution beyond simple commodity exchanges,highlighting their diverse cultural expressions and rich experiential value.Traditional tourist sites often face criticism for being over-commercialized and lacking authenticity,while morning markets offer an authentic glimpse into the everyday lives of local residents.This study explores the authenticity experience in morning market tourism,aiming to establish a link between tourist experience of authenticity and the everyday life of the Other.Utilizing content analysis of user-generated content from social media platforms like Weibo and REDnote,this research addresses the questions:“What does the authentic experience of morning market tourism include?How is the authentic experience of morning market tourism generated?”Data were collected over a three-day period from October 20th to 22th,2023,using the keyword“morning market”,yielding 3807 entries.After filtering for relevance and removing duplicates,3280 valid entries served as the primary data source.The study employs various analytical tools to analyze this data.Python libraries such as Pandas,Matplotlib,NLTK,and Gensim are used for text preprocessing and frequency analysis,while ROST CM6 software is used for semantic network analysis to identify discourse hotspots within morning market tourism.Additionally,an LDA(latent Dirichlet allocation)model is applied for theme classification,complemented by manual coding to categorize the dimensions of the morning market tourism experience.The analysis reveals three dimensions of authent
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