基于微博签到数据的天山天池景区游客流时空特征研究  

Research on the Temporal and Spatial Characteristics of Tourist Flow in Tianchi Lake Scenic Spot Based on Micro-blog Check-in Data

作　　者：陈曦 李啸虎[1] 关靖云 CHEN Xi;LI Xiaohu;GUAN Jingyun(School of Tourism Studies,Xinjiang University of Finance and Economics,Urumqi 830012,China)

机构地区：[1]新疆财经大学旅游学院

出　　处：《地域研究与开发》2019年第4期85-91,共7页Areal Research and Development

基　　金：国家自然科学基金(71561025);国家社会科学基金项目(16BMZ078);新疆维吾尔自治区软科学项目(2018D07013);新疆财经大学博士启动基金(2015BS001);新疆财经大学研究生科研创新项目(XJUFE2019K038)

摘　　要：在大数据背景下,基于新疆天山天池景区2012年4月1日至2018年3月31日游客新浪微博签到数据,采用时间分层法、ArcGIS核密度分析法,从时间和空间角度对天山天池景区游客流分布特征进行分析,结果显示:(1)年内季节性变化明显,夏季客流量最多,秋季次之,冬季客流量最少;(2)年内平均签到季节指数高峰值在8月,低峰值在1月;(3)非黄金周游客签到曲线呈现“前低后高”特征,“十一”黄金周游客签到曲线凸显“中间高、两边低”的特点;(4)游客签到量在日尺度上呈现“单峰”型结构;(5)景区游客流在空间上呈现出“多核心集聚”特征,且每个核心具有明显的等级分异规律。Under the background of big data,based on the check-in data of Sina Micro-blog visitors in the Tianchi scenic spot of Tianshan Mountain in Xinjiang,the distribution characteristics of tourist flows were analyzed from the time and space perspective,and the conclusions are shown as follows:(1)The seasonal variation is obvious in the whole year,the highest number of tourists is in summer,followed by autumn,and the least number of tourists is in winter;(2)The average signing season index during the year peaked in August and the low peak in January;(3)The check-in curve of non-golden week tourists presents the feature of“low before high”;The arrival curve of tourists during the“National Day”golden week shows the characteristics of“high in the middle and low on both sides”.(4)Tourists’check-in numbers presents a“single peak”structure on a daily scale;(5)The tourist flow of the scenic area presents the feature of“multi-core agglomeration”in space,and each core has distinct hierarchical features.

关 键 词：新浪微博 签到数据 游客流 时空变化 天山天池 

分 类 号：F592.7[经济管理—旅游管理]