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基于元分析的国内旅游解说研究特征分析
引用本文:胡传东,黄宗林,罗仕伟.基于元分析的国内旅游解说研究特征分析[J].重庆师范学院学报,2014(3):100-107.
作者姓名:胡传东  黄宗林  罗仕伟
作者单位:重庆师范大学地理与旅游学院,重庆400047
基金项目:资助项目:国家社会科学基金(No.10BGL046);重庆市社科规划项目(No.2010YBZH55);重庆市自然科学基金(No.2012BB7088);重庆师范大学基金项目(No.10XLB010)
摘    要:以中国期刊全文数据库为检索源,在对期刊载文量和作者进行计量学分析的基础上,运用元分析方法,从研究层次、研究方法、研究案例地和研究主题等4个角度对我国旅游解说研究特征进行分析。结果表明:(1)系统层面的研究是旅游解说研究中最常见的研究单位;以旅游者为核心的个体层研究是未来发展方向;(2)以个案研究、问卷调查、实地考察和访谈为主的定性研究是旅游解说研究中最常用的研究方法;(3)旅游解说研究案例地选取相对集中,但分散化趋势明显;个案研究比较丰富,对比研究有待深入;(4)研究主题集中在解说系统规划设计、解说效果评价、解说翻译、解说媒介选择等4个方面,其中解说系统规划设计是该领域的研究热点。

关 键 词:旅游解说  元分析  研究特征

Study on the Characteristics of Tourism Interpretation in China Based on Meta-Analysis
HU Chuan-dong,HUANG Zong-lin,LUO Shi-wei.Study on the Characteristics of Tourism Interpretation in China Based on Meta-Analysis[J].Journal of Chongqing Normal University(Natural Science Edition),2014(3):100-107.
Authors:HU Chuan-dong  HUANG Zong-lin  LUO Shi-wei
Institution:(College of Geographical Sciences and Tourism, Chongqing Normal University, Chongqing 400047, China)
Abstract:Regarding the CNKI as the retrieval source, based on the bibliometric analysis of papers and authors, this paper makes the statistical analysis of tourism interpretation in China on four aspects, including the units of analysis, research methods, research case and research topic. The results showed that, (1) the system level study is the most common study unit; the study of individual level is the future study direction; (2) the qualitative research including case study, questionnaire survey, on-the-spot investigation and interview is the most commonly used research methods ; (3) the case study selection is relatively concentrated, but has a evi- dent decentralization trend; individual case study is very rich, while comparative study needs further study; (4) the research topic focuses on four aspects- the interpretation system planning and design, the interpretation evaluation, the interpretation translation and the interpretation media selection. And the planning and design is a hotspot in this field.
Keywords:tourism interpretation  meta-analysis  research features
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