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作 者:俞倩文 卢松 YU Qianwen;LU Song(School of Tourism,Shanghai Normal University,Shanghai 200234,China;School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)
机构地区:[1]上海师范大学旅游学院,上海200234 [2]上海师范大学环境与地理科学学院,上海200234
出 处:《亚热带资源与环境学报》2021年第3期63-71,共9页Journal of Subtropical Resources and Environment
基 金:国家自然科学基金项目(41971171)。
摘 要:古村落是重要的文化旅游资源,网络关注度是衡量旅游地发展水平和营销效果的一个有效标准。本研究以宏村为例,通过百度指数获取全国34个省市2012—2019年的网络关注度,探究古村落旅游地网络关注度的时空分布特征及影响因素。研究表明:(1)2012—2019年宏村网络关注度总体上呈“N”字型,月变化呈“双峰型”,存在明显的季节性差异。(2)全国各地区的网络关注度呈东—中—西依次减少的态势,主要集中于安徽本省以及东部沿海地区。(3)三大区域间的网络关注度差异不断增加,空间分布越来越不均衡;东部、西部地区内部网络关注度集聚程度较低,而中部集聚程度较高,分布较为不均衡。(4)区域经济发展水平、两地间的距离、气候舒适度和假日制度是影响宏村网络关注度的重要因素。Ancient villages are important cultural tourism resource.Network attention is an effective standard of measuring the development and marketing of destinations.This research obtains Hongcun's network attention of 34 provinces from 2012 to 2019 through Baidu Index to explore its temporal and spatial distribution characteristics and influencing factors.It is found that,(1)The network attention of Hongcun from 2012 to 2019 is generally in the shape of“N”;the monthly distribution shows a“bimodal”pattern,which has an obvious seasonal differences.(2)Hongcun's network attention in each region of China is decreasing from east to middle and west,it mainly concentrates in Anhui province and eastern coastal area.(3)The network attention among three regions is different and the spatial distribution is more uneven than before.The concentrations of internal network attention in the east and west are relatively low,while the middle is high and uneven.(4)The level of regional economic development,the distance between two places,climate comfort and holiday system are the influencing factors of Hongcun's network attention.
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