旅游目的地网络关注度时空研究——以安徽大别山革命老区两市为例
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摘要
以安徽大别山革命老区规划范围安庆、六安两市为研究对象,以百度搜索指数作为衡量网络关注度指标,搜集2013-2017年的搜索指数数据,运用季节性集中指数、地理集中指数方法分析两地的旅游网络关注度时空分布特征规律.研究结果表明:2013-2017年两市网络关注度整体逐年呈上升趋势,季节性变化强,空间分布上稳定集中,主要集中在省内周边区域和长三角地区.同时,从气候适宜、闲暇时间、信息化程度、重大事件等要素分析影响机理,并从客源市场对接层次化、产品开发多元化、平台服务多样化、传播内容精准化等方面探讨提升安徽大别山革命老区旅游目的地关注度对策.
Taking the two cities of Anqing and Lu'an,the planning area of Anhui's Dabie old revolutionary area as the research objects,Baidu search index as a measure of network attention,seasonal concentration index and geographic concentration index are used to analyze the spatial and temporal distribution of tourism network attention between the two cities.The results show that the network attention of the two cities increased year by year from 2013 to 2017,with strong seasonal changes and stable spatial distribution,mainly concentrated in the surrounding areas of the Anhui province and the Yangtze River Delta region.At the same time,the paper analyzes the influencing mechanism from such factors as climate suitability,leisure time,informationization degree and major events,and discusses the countermeasures to enhance the attention of tourism destinations in the Anhui's Dabie Mountain old revolutionary area from the following aspects: the docking hierarchy of tourist market,the diversification of product development and platform services,the precision of dissemination content.
Taking the two cities of Anqing and Lu'an,the planning area of Anhui's Dabie old revolutionary area as the research objects,Baidu search index as a measure of network attention,seasonal concentration index and geographic concentration index are used to analyze the spatial and temporal distribution of tourism network attention between the two cities.The results show that the network attention of the two cities increased year by year from 2013 to 2017,with strong seasonal changes and stable spatial distribution,mainly concentrated in the surrounding areas of the Anhui province and the Yangtze River Delta region.At the same time,the paper analyzes the influencing mechanism from such factors as climate suitability,leisure time,informationization degree and major events,and discusses the countermeasures to enhance the attention of tourism destinations in the Anhui's Dabie Mountain old revolutionary area from the following aspects: the docking hierarchy of tourist market,the diversification of product development and platform services,the precision of dissemination content.
引文
[1]蔡卫民,彭晶,覃娟娟.韶山的国际网络关注热度矩阵及推广策略研究[J].旅游科学,2016,30(4):61-70.
[2]马丽君,孙根年,黄芸玛,等.城市国内客流量与游客网络关注度时空相关分析[J].经济地理,2011,31(4):680-684.
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[4]张丽峰,丁于思.北京5A级旅游景区网络关注度分布特征研究[J].资源开发与市场,2014,30(11):1382 –1384.
[5]张晓梅,程绍文.古城旅游地网络关注度时空特征及其影响因素——以平遥古城为例[J].经济地理,2016,36(7):196-202.
[6]姚军.以游客为中心以技术为抓手——新时代中国旅游景区发展之路探讨[J].旅游学刊,2018,33(1):5-7.
[7]孙烨,张宏磊,刘培学,等.基于旅游者网络关注度的旅游景区日游客量预测研究——以不同客户端百度指数为例[J].人文地理,2017,155(3):152-160.
[2]马丽君,孙根年,黄芸玛,等.城市国内客流量与游客网络关注度时空相关分析[J].经济地理,2011,31(4):680-684.
[3]王玉霞,王静.客流量与网络关注度的关系分析——以首都博物馆为例[J].北京联合大学学报,2016,30(1):75-80.
[4]张丽峰,丁于思.北京5A级旅游景区网络关注度分布特征研究[J].资源开发与市场,2014,30(11):1382 –1384.
[5]张晓梅,程绍文.古城旅游地网络关注度时空特征及其影响因素——以平遥古城为例[J].经济地理,2016,36(7):196-202.
[6]姚军.以游客为中心以技术为抓手——新时代中国旅游景区发展之路探讨[J].旅游学刊,2018,33(1):5-7.
[7]孙烨,张宏磊,刘培学,等.基于旅游者网络关注度的旅游景区日游客量预测研究——以不同客户端百度指数为例[J].人文地理,2017,155(3):152-160.