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基于Tripadvisor的中国旅游地国际关注度及空间格局

DOI: 10.11820/dlkxjz.2014.11.004, PP. 1462-1473

Keywords: Tripadvisor,电子社区,空间格局,旅游关注度,用户创建内容(UGC)

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Abstract:

用户贡献内容(UGC)已逐渐成为旅游行为与感知研究的重要数据源.区别于通常利用搜索引擎关键词数量描述网络关注度的方法,本文引入电子社区层次结构为权重因子,建立了基于社区UGC的旅游关注度模型,能够灵活调节模型表达的重点,优化计算结果.针对著名旅游电子社区Tripadvisor的研究发现,国外社区用户对中国旅游的关注呈现3个典型特征①旅游关注集中在“长城、泰山、黄山、九寨沟、张家界”等少数旅游吸引物,和“北京、香港、上海、桂林”少量目的地城市;大量吸引物和目的地关注度较低,呈现“长尾现象”与极化特征.②吸引物与目的地城市的关注空间具有明显耦合性,关注度较高的吸引物多邻近或隶属于关注度较高的城市,如桂林阳朔、北京长城、成都都江堰和九寨沟、杭州西湖等.③旅游关注空间整体呈现出由高到低的“东—中—西”格局,与中国区域经济的“东—中—西”梯度格局基本耦合;北京、香港、广州、深圳、上海、成都等关注中心也与区域经济中心一致.旅游资源禀赋、电子口碑传播模式、地理区位、经济水平和关注者国家的文化背景、经济发展状况、地理区位等是影响旅游者关注度及其空间格局变化的主要因素.旅游关注度模型旨在解决互联网用户对区域旅游关注的定量计算问题,为基于互联网UGC的旅游地理学研究提供新思路.

References

[1]  敖荣军, 韦燕生. 2006. 中国区域旅游发展差异影响因素研究: 来自1990-2003 年的经验数据检验. 财经研究, 32 (3): 32- 43. [Ao R J, Wei Y S. 2006. A study on the regional tourism resources and the unbalanced development of the tourism industry in China. Journal of Finance and Economics, 32(3): 32-43.]
[2]  李山, 邱荣旭, 陈玲. 2008. 基于百度指数的旅游景区络空间关注度: 时间分布及其前兆效应. 地理与地理信息科学, 24(6): 102-107. [Li S, Qiu R X, Chen L. 2008. Cyberspace attention of tourist attractions based on Baidu index: temporal distribution and precursor effect. Geography and Geo-Information Science, 24(6): 102-107.]
[3]  林志慧, 马耀峰, 刘宪锋, 等. 2012. 旅游景区网络关注度时空分布特征分析. 资源科学, 34(12): 2427-2433. [Lin Z H, Ma Y F, Liu X F, et al. 2012. Spatial and temporal features of network attention of scenic areas. Resources Science, 34(12): 2427-2433.]
[4]  龙茂兴, 孙根年, 龙珍付. 2013. 遵义红色旅游网络关注度的客流响应研究. 地理与地理信息科学, 29(5): 98-101, 118. [Long M X, Sun G N, Long Z F. 2013. Tourist flow′ s response to degree of consumer network attention to Zunyi tourism. Geography and Geo-Information Science, 29(5): 98-101, 118.]
[5]  龙茂兴, 孙根年, 马丽君, 等. 2011. 区域旅游网络关注度与客流量时空动态比较分析: 以四川为例. 地域研究与开发, 30(3): 93- 97. [Long M X, Sun G N, Ma L J, et al. 2011. An analysis on the variation between the degree of consumer attention of travel network and tourist flow in regional tourism: a case of Sichuan Province. Areal Research and Development, 30(3): 93-97.]
[6]  马丽君, 孙根年, 黄芸玛, 等. 2011. 城市国内客流量与游客网络关注度时空相关分析. 经济地理, 31(4): 680-685. [Ma L J, Sun G N, Huang Y M, et al. 2011. A correlative analysis on the relationship between domestic tourists and network attention. Economic Geography, 31(4): 680-685.]
[7]  马耀峰, 李旭. 2003. 中国入境游客旅游选择模式研究. 西北大学学报: 自然科学版, 33(5): 575-580. [Ma Y F, Li X. 2003. A study of China inbound tourists' selection patterns. Journal of Northwest University: Natural Science Edition, 33(5): 575-580.]
[8]  马耀峰, 李永军. 2001. 中国入境后旅游流的空间分布研究.人文地理, 16(6): 44-46, 35. [Ma Y F, Li Y J. 2001. Research on spatial region- division of inbound tourist flow in China. Human Geography, 16(6): 44-46, 35.]
[9]  彭红松, 陆林, 路幸福, 等. 2014. 基于旅游客流的跨界旅游区空间网络结构优化: 以泸沽湖为例. 地理科学进展, 33(3): 422- 431. [Peng H S, Lu L, Lu X F, et al. 2014. Spatial network structure and optimization of cross- border tourism area based on tourist flow: a case study in Lugu Lake. Progress in Geography, 33(3): 422-431.]
[10]  史春云, 张捷, 尤海梅, 等. 2007. 四川省旅游区域核心: 边缘空间格局演变. 地理学报, 62(6): 631- 639. [Shi C Y, Zhang J, You H M, et al. 2007. Core- periphery spatial structure and its evolution of tourism region in Sichuan Province. Acta Geographica Sinica, 62(6): 631-639.]
[11]  汪德根, 陈田. 2011. 基于竞争力评价的区域旅游产业发展差异: 以中国东部沿海三大旅游圈为例. 地理科学进展, 30(2): 249-256. [Wang D G, Chen T. 2011. Differences of regional tourism development based on competitiveness evaluation:a case study of the three circles in eastern coastal China. Progress in Geography, 30(2): 249-256.]
[12]  王守成, 郭风华, 傅学庆, 等. 2014. 基于自发地理信息的旅游地景观关注度研究: 以九寨沟为例. 旅游学刊, 29(2): 84-92. [Wang S C, Guo F H, Fu X Q, et al. 2014. A study of the spatial patterns of tourist sightseeing based on volunteered geographic information:the case of the Jiuzhai Valley. Tourism Tribune, 29(2): 84-92.]
[13]  王章郡, 方忠权, 杜坤. 2011. 中国自驾车旅游网络空间关注度的时空演变: 基于Google 搜索解析的分析. 地域研究与开发, 30(5): 112- 117. [Wang Z J, Fang Z Q, Du K. 2011. Temporal-spatial evolvement characteristics of cyberspace attention index of self- driving tours in China: based on Google insight. Areal Research and Development, 30(5): 112-117.]
[14]  闻飞, 王娟. 2012. 中国热点旅游城市旅游国际化水平定量评价研究. 人文地理, 27(2): 145-150. [Wen F, Wang J. 2012. Quantitative evaluation research on tourism internationalization level of hot tourism cities in China. Human Geography, 27(2): 145-150.]
[15]  张娟娟, 马耀峰. 2011. 西安、成都、昆明入境旅游市场动态演化对比分析. 资源开发与市场, 27(8): 736- 739. [Zhang J J, Ma Y F. 2011. Contrast analysis on inbound tourism market evolution and development in Xi'an, Chengdu and Kunming. Resource Development & Market, 27(8): 736-739.]
[16]  赵欣, 陈建波, 刘永泉. 2007. 西北地区旅游业发展现状及对策浅议. 新疆师范大学学报: 自然科学版, 26(3): 303- 305. [Zhao X, Chen J C, Liu Y Q. 2007. The development and plan of tourism in Western region. Journal of Xinjiang Normal University: Natural Science Edition, 26 (3): 303-305.]
[17]  郑鹏. 2013. 基于社会宏观与个体微观视角的入境旅游流驱动模式. 地理科学进展, 32(10): 1501-1510. [Zheng P. 2013. Driving force model for inbound tourist flow from macroscopic and microcosmic perspectives. Progress in Geography, 32(10): 1501-1510.]
[18]  周鹏, 任建兰. 2004. 中国入境旅游客源市场格局及发展预测. 地域研究与开发, 23(5): 68-72. [Zhou P, Ren J L. 2004. Analysis and anticipation on overseas inbound guest-market of China. Areal Research and Development,23(5): 68-72.]
[19]  Akehurst G. 2009. User generated content: the use of blogs for tourismorganizations and tourism consumers. Service Business, 3(1): 51-61.
[20]  Arsal I, Woosnam K M, Baldwin E D, et al. 2010. Residents as travel destination information providers: an online community perspective. Journal of Travel Research, 49 (4): 400-413.
[21]  Feick R, Robertson C. 2013. A multi-scale approach to exploring urban places in geotaggedphotographs. Computers, Environment and Urban Systems.: doi: 10.1016/j.compenvurbsys. 2013.11.006.
[22]  Lu W, Stepchenkova S. 2012. Ecotourism experiences reported online: classification of satisfaction attributes. Tourism Management, 33(3): 702-712.
[23]  Pan B, Li X R. 2011. The long tail of destination image and online marketing. Annals of Tourism Research, 38(1): 132-152.
[24]  Ricker B A, Johnson P A, Sieber R E. 2013. Tourism and environmental change in Barbados: gathering citizen perspectives with volunteered geographic information (VGI). Journal of Sustainable Tourism, 21(2): 212-228.
[25]  Sparks B A, Perkins H E, Buckley R. 2013. Online travel reviews as persuasive communication: the effects of content type, source, and certification logos on consumer behavior. Tourism Management, 39(6): 1-9.
[26]  Stepchenkova S,Zhan F. 2013. Visual destination images of Peru: comparative content analysis of DMO and user-generated photographyibid. Tourism Management, 36(3): 590-601.
[27]  Xiang Z, Gretzel U. 2010. Role of social media in online travel information search. Tourism Management, 31(2): 179-188.

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