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宗教旅游地多群体感知空间结构——基于地方理论的解析
引用本文:高艳,赵振斌.宗教旅游地多群体感知空间结构——基于地方理论的解析[J].浙江大学学报(理学版),2016,43(2):211-219.
作者姓名:高艳  赵振斌
作者单位:陕西师范大学旅游与环境学院, 陕西西安 710119
基金项目:国家自然科学基金资助项目(41171126,41571174).
摘    要:以郎木寺为调研区域,选取当地藏族居民、回族居民、旅游者和外来经营者4类群体为研究对象,采用相片引导的半结构化访谈法,回收访谈资料共计396份,其中藏族居民102份,回族居民96份,旅游者99份,外来经营者99份.借助社会网络分析软件UCINET,采用共现分析法和社会网络分析法,构建出4类群体感知意象的空间结构.结果显示:受访的4类群体形成了一系列相同的意象热点,且同一意象热点承载的地方感知是多样化的;同时4类群体受各自文化背景以及认知限度的影响,对同一地方呈现出不同的感知,并形成了4类不同的感知意象结构;地方与地方之间的共现联系主要体现在同一地理界限内、性质互补、性质相似3个方面;当地居民与外来人口对于文化认同表现出了一定的差异,旅游发展对当地文化的宣传并没有达到居民所认同的高度.

关 键 词:感知  意象热点  群体差异  郎木寺  
收稿时间:2015-06-29

Study on different groups' perceptual image in religious tourism place based on place theory
GAO Yan,ZHAO Zhenbin.Study on different groups' perceptual image in religious tourism place based on place theory[J].Journal of Zhejiang University(Sciences Edition),2016,43(2):211-219.
Authors:GAO Yan  ZHAO Zhenbin
Institution:Department of Tourism & Environment, Shaanxi Normal University, Xi'an 710119, China
Abstract:Based on the case of Lamgmu town, this research takes local Tibetan residents, Hui residents, tourists and merchants as respondents, and finds significant differences in spatial structure of perceptual image through the photo guiding semi-structured interview method. Using the social network analysis software UCINET combined with co-occurrence and social network analysis method, we build the four groups' spatial structure. Results have shown that the four groups form a series of same image hotspots and the same image hotspot hosts a diverse range of local perceptions; Under the influence of four groups' own cultural background and cognitive, the respondents show the different perceptions on the same place and form four types of image structures; The contact of co-occurrence between different places is mainly reflected in the following respects:the same geographical boundaries, nature complement, nature opposition; Additionally, local residents and migrant population show certain differences in cultural identity.
Keywords:perception  image hotspots  group difference  Langmu town
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