中国5A级景区分布及网络关注度空间格局研究

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英文篇名：Spatial patterns of 5A-level tourist attractions and their nework attention degrees in China 作者：李会琴 ; 李丹 ; 董晓晴 ; 徐宁 英文作者：LI Huiqin;LI Dan;DONG Xiaoqing;XU Ning;School of Economics and Management, China University of Geosciences; 关键词：5A级旅游景区 ; 空间分布 ; 网络关注度 英文关键词：5A-level tourist attractions;;spatial distributions;;network attention degree 中文刊名：GHZH 英文刊名：Journal of Arid Land Resources and Environment 机构：中国地质大学经济管理学院; 出版日期：2019-07-11 出版单位：干旱区资源与环境 年：2019 期：v.33;No.254 基金：国家社会科学基金重大项目(17ZDA085);; 教育部人文社会科学规划基金(16YJA790018);; 中央高校基本科研业务费专项资金(CUG170101)资助 语种：中文; 页：GHZH201910027 页数：7 CN：10 ISSN：15-1112/N 分类号：180-186

摘要

景区网络关注度对景区营销、景区管理具有重要意义。基于百度指数,运用GIS技术,对2017年全国31个省市区(不含港澳台)249家5A级景区空间分布及网络关注度空间特征进行分析。结果表明:1)全国5A级景区分布与网络关注度集中分布特征明显;2)5A级景区空间分布特征为二条富集带(太行-伏牛富集带和鲁中南富集带)、二个主中心(长三角与环京津)、七个次中心(西安、长沙、广州等);3)5A级景区网络关注度表现为一条高关注带(太行-伏牛-秦巴-武陵)、三个主中心(长三角、环渤海、川北)、五个次中心(济南、西安、武汉、成都和广州);4)5A级景区分布与网络关注度分布具有一定的空间耦合性,在京津地区、长三角、珠三角集聚较为明显,网络关注度更向中部集中;5)网络关注度空间分布格局是旅游资源禀赋、交通条件、经济发展水平等综合作用的结果。从全域旅游角度,建议优化5A级景区分布格局,均衡区域旅游经济发展差异;同时,加强区域协作,加大景区联合营销,实现区域旅游多赢目标。
        Network attention is of great significance to scenic spots marketing and visitor reception. Based on the Baidu Index, taking 249 5A-level scenic spots in 31 provinces and cities(excluding Hong Kong, Macao and Taiwan) as an example, by using GIS technology, the spatial distribution of 5A-level scenic spots and the spatial distribution of network attention were analyzed. The results show that: 1) The spatial distribution of the national 5A scenic spots is agglomerated. The overall characteristics are: high in the east and low in the west; concentrated in the east and scattered in the middle; spatial distribution shows two enrichment zones, two enriched main centers and seven enriched sub-centers. 2) The spatial distribution of 5A level scenic spots network has a significant agglomeration distribution trend, which is dense in the east and sparse in the west. The spatial pattern is one high concern zone, three main centers of attention and five attention sub-centers. 3) The spatial distribution of the 5A level scenic spots and the network attention degree are coupled, especially in the Beijing-Tianjin, Yangtze River Delta, Pearl River Delta, but there are some exceptions. Both have spatial agglomeration characteristics, while network attention is more concentrated in middle China. 4) The spatial distribution pattern of network attention is the result of the comprehensive effect of regional scenic spot distribution, tourism resource endowment, traffic status and economic development level. It is recommended to optimize the distribution pattern of the 5A-level scenic spots and balance the differences in regional tourism economic development. Finally, strengthen regional cooperation and strengthen the alliance between the scenic spots to achieve a win-win situation for tourism.

引文

[1]Pan B,Fesenmaier D R.Online information search:Vacation planning process[J].Annals of Tourism Research,2006,33(3):809-832.
    [2]Davidson Andrew P,Yu Y.The internet and the occidental tourist:An analysis of Taiwan's tourism websites from the perspective of western tourists[J].Information Technology and Tourism,2005,7(2):91-102.
    [3]Yang X,Pan B,Evans J A,lv B F.Forecasting Chinese tourist volume with search engine data[J].Tourism Management,2015,46:386-397.
    [4]林志慧,马耀峰,刘宪锋,等.旅游景区网络关注度时空分布特征分析[J].资源科学,2012,34(12):2427-2433.
    [5]李山,邱荣旭,陈玲.基于百度指数的旅游景区络空间关注度:时间分布及其前兆效[J].地理与地理信息科学,2008,24(6):102-107.
    [6]张晓梅,程绍文,刘晓蕾,等.古城旅游地网络关注度时空特征及其影响因素-以平遥古城为例[J].经济地理,2016,36(7):196-202,207.
    [7]静恩明,郭风华,李仁杰,等.基于新浪旅游博客的河北省A级景区网络关注度研究[J].地理与地理信息科学,2015,31(3):118-122.
    [8]马丽君,郭留留.基于网络关注度的北京市居民对5A级景区旅游需求时空特征分析[J].干旱区资源与环境,2017,31(10):203-208.
    [9]黄先开,张丽峰,丁于思.百度指数与旅游景区游客量的关系及预测研究-以北京故宫为例[J].旅游学刊,2013,28(11):93-100.
    [10]孙烨,张宏磊,刘培学,等.基于旅游者网络关注度的旅游景区日游客量预测研究-以不同客户端百度指数为例[J].人文地理,2017,32(3):152-160.
    [11]汪秋菊,黄明,刘宇.城市旅游客流量-网络关注度空间分布特征与耦合分析[J].地理与地理信息科学,2015,31(5):102-106,127.