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基于百度指数的山东省滨海旅游网络关注度研究 被引量:5

Research on Attention Degree of Coastal Tourism Network in Shandong Province Based on Baidu Index
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摘要 山东滨海城市联系紧密,滨海旅游资源各具特色。基于百度指数,通过获取山东滨海城市2014—2018年日均旅游搜索指数,借助Excel和ArcGIS10.0分析软件,运用季节性强度指数、周内分布偏度指数和地理集中指数进行统计分析,研究发现山东滨海旅游网络关注度季节变化特征明显,总体呈“倒V、单峰、两低谷”型,网络关注度空间分布较为集中,气候、经济、人口、距离、信息等因素是影响旅游地网络关注度的重要因素。并从产品开发、营销推广、城市合作、品牌塑造、精品旅游建设5个方面提出了有关建议,以期为打造中国东部最佳区域性滨海旅游目的地提供借鉴。 Shandong coastal cities are closely connected,coastal tourism resources have their own characteristics.Based on Baidu index,by obtaining the daily average tourism search index of Shandong coastal cities from 2014 to 2018,and makes statistical analysis with the help of Excel and ArcGIS10.0 analysis software,using seasonal concentration index,weekly distribution skewness index and geographical concentration index.The study found that the seasonal variation characteristics of Shandong coastal tourism network are obvious,which is generally"inverted V,single peak and two low valleys",and the spatial distribution of network attention is more concentrated.Climate,economy,population,distance,information and other factors are important factors that affect the network attention of tourist destinations.And from the product development,marketing promotion,urban cooperation,brand building,boutique tourism construction five aspects put forward the relevant suggestions,in order to provide reference for building the best regional coastal tourism destination in eastern China.
作者 石峰 兰洪超 SHI Feng;LAN Hong-chao(School of Geography and Tourism,Qufu Normal University,Rizhao Shandong 276826,China;School of Business and Tourism Management,Yunnan University,Kunming 650500,China)
出处 《科技和产业》 2020年第8期17-23,共7页 Science Technology and Industry
关键词 百度指数 网络关注度 时空分布 滨海旅游目的地 Baidu index network attention spatial and temporal distribution coastal tourism destination
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