摘要
旅游网络信息是景区客流量预测研究的重要基础。以泛长江三角洲地区4A级以上国家公园类景区为研究对象,基于百度指数获取并筛选2010—2016年案例景区网络关注度数据,采用弹性系数、地理集中指数、基尼系数、不平衡指数等指标和GIS反距离权重插值的空间分析方法研究了案例景区网络关注度时空变化特征。结果表明:(1)研究时段内案例景区网络关注度总体呈现上升趋势,但增长速度呈现波动递减的态势;(2)从景区类别角度对比,风景名胜区关注度数值一直最高,2015年之后森林公园关注度增长速度转为最快;(3)网络关注度空间布局"核心—边缘"结构突出,总体呈现分散式集中的"多核"空间结构特征,分布特征年际变化较小,不平衡状态仍将持续存在。
Tourism network information was a significant basis for forecasting tourist amount. This paper selected the data of the network coverage degree of the scenic spots in 2010- 2016 based on Baidu Index. With the using of lasticity coefficient, geographical concentration index, Gini coeffi- cient and imbalance and the spatial analysis method of GIS inverse distance weight interpolation, this paper studied the temporal and spatial variation characteristics of network coverage in case scenic area. The results showed that:①The network attention to the case of the scenic spot was generally growing, but the growth rate was decreasing. ②From the perspective of scenic categories, the authors found that the scenic spots got highest value of attention of all the time and the forest park attention got the fastest growth rate after 2015. ③The spatial layout with "core - periphery" of the network attention was prominent, with the general distributed the concentration of spatial structure of "multi - core", and the distribution characteristics of an- nual change smaller, which would continue to exist the imbalance distribution.
出处
《资源开发与市场》
CAS
CSSCI
2017年第9期1142-1146,F0004,共6页
Resource Development & Market
基金
湖南师范大学青年优秀人才计划项目(编号:2014YX05)
关键词
国家公园
网络关注度
时空变化
百度指数
GIS空间分析
national park
network attention
temporal and spatial variation
Baidu Index
GIS spatial analysis