基于百度指数的森林公园客流量影响因素分析

发布时间：2019-02-13 03:08

【摘要】：随着国内旅游业的迅速发展,森林公园以其良好的资源优势成为更多游客的选择。利用百度指数平台获得的各类搜索指数,研究了搜索指数与森林公园客流量的相关性以及森林公园客流量影响因素。研究发现:森林公园客流量及搜索指数存在耦合性;通过多元线性回归分析方法估测了包括搜索指数在内的主要因素对各地区森林公园游客量的影响,发现对森林公园客流量影响较为显著的因素是GDP及森林公园资源丰度,可见经济发展水平越高、森林公园自身资源条件越好的地区,其森林公园客流量越大;通过对百度指数和森林公园客流量分析,发现两者的相关性在游客输出地区和输入地区呈现明显的差异性。研究结果有助于指导各地区森林公园发展规划和森林公园经营单位经营决策。
[Abstract]:With the rapid development of domestic tourism, forest park has become a choice for more tourists because of its good resource advantage. The correlation between search index and forest park passenger flow and the influencing factors of forest park passenger flow were studied by using various search indexes obtained by Baidu index platform. The results show that there is coupling between passenger flow and search index of forest park; The effects of main factors, including search index, on the tourist volume of forest parks in different regions were estimated by multiple linear regression analysis. It was found that GDP and the abundance of forest park resources were the most significant factors affecting the tourist flow of forest parks. It can be seen that the higher the level of economic development, the better the resources of the forest park, the larger the passenger flow of the forest park; Through the analysis of Baidu index and forest park passenger flow, it is found that the correlation between them is obvious difference in the tourist output area and the input area. The results are helpful to guide the development planning of forest parks and the management decisions of forest park management units.
【作者单位】：中国林业科学研究院林业科技信息研究所;
【基金】：中央级公益性科研院所基本科研业务费专项“林业重点产业竞争力和发展潜力预测研究”(CAFYBB2014MB004);“全面天保后中国木材供给策略研究”(CAFYBB2014MC002)
【分类号】：S788.2;F592

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