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ID:9140309
大小:104.50 KB
页数:11页
时间:2018-04-19
《广州市旅游景区网络关注度时空特征研究》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、YANJiang-pingSONGZhi-hongLIWeiCollegeofGeographyandEnvironmentScience,NorthwestNormalUniversity;Abstract:Basedondatesfor2016aboutnetworkattentionof4AandabovelevelscenicspotsinGuangzhouobtainedfromthe“Baiduindex〃datasharingplatform,thispaperanalyzedthetem
2、poralandspatialcharacteristicsofthenetworkattentiondegreeoftouristattractionsinGuangzhoubyusingtheseasonalconcentrationindex,coefficientofvariation,regressionanalysis.Theauthorsfoundthatthenetworkoftouristattractionsshowed“weekendhigh,lowworkingdays"feat
3、ures,therewerefourpeaksintheyear,withthecharacteristicsof“longpeakseasonandshortslowseason",the“LaborDay"and“NationalDay"Internetattentionpeakduringtheholiday,andmobiletrendsweremuchhigherthanPCtrends,consistentwiththeoveralltrends,thetouristsearchhabits
4、changed,fromthePCterminalgraduallyturnedtothemobileterminal.ThereweredifferencesamongcitizensaroundthecountryaboutthetouristpreferenceofGuangzhouscenicareas,andthemostpopularscenicwerePanyuscenicareasandtheGuangzhoutowerinHaizhudistrict.Beijingandotherec
5、onomicallydevelopedprovinceshadhigherlevelsofInternetattention.Therewasadifferenceinthedegreeofattentionbetweentheeastern,centralandwesternprovinces;thedifferencedegreeinthewesternregionwasmaxi.Thespatialdifferencesoftourismscenicspotsweretheresultofthec
6、ombinedeffectsoffactorssuchasthesizeofthepopulation,thelevelofeconomicdevelopmentandthedegreeofdistance.ThelevelofeconomicdevelopmenthadthegreatestimpactontheattentionofGuangzhou’stourismnetwork,followedbythepopulationsize.Thedistancebetweenthetwoplacesw
7、asnegativelycorrelatedwiththenetworkconcern.Keyword:GuangzhouCity;touristattractions;networkattention;Baidujndex;Received:2017-11-031引言互联网的广泛传播和网络资源的共享为社会公众提供了一个开放式的信息发布和查询平台,作为重要的信息传播媒介,互联网正以不同形式影响着人们的生产和生活。越来越多的人借助互联M来获取所需信息,互联M上的搜索记录反映了人们的关注热点和需求状况,而网
8、络空间中的信息流己逐渐被应用于科学研宄领域。国外最早将网络搜索的相关数据应用于流行病监测UL随后逐渐向社会经济领域延仲,在失业率预测m、房M销量预测ui等宏观、微观经济领域取得了丰富的成果。网络搜索数据同样被用于旅游研宄领域。李山等研宄了我国53个5A级旅游景区的网络关注度时间分布特征,发现了景区网络关注度具有“前兆效应”,即周内表现为“日前兆”,年内表现为“旬前兆”以1。有学者棊于不同研宄案例地对旅游网络关注度进行研宄,验证Y旅游网络关注
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