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。

With the rapid development of domestic tourism,forest park has become the choice of more tourists because of its good resources.Using the Baidu index platform to obtain various search index,this paper studied the correlation of search index and forest park passenger flow,as well as the factors affecting forest park passenger flow.The results showed that there was a coupling between forest park and the search index.Multiple linear regression analysis method was used to estimate the main factors affecting the forest park passenger flow in various regions,including search index.The results showed that the main factors of forest park passenger flow were GDP and forest park resource abundance,thus it can be seen that the better economic and resource conditions of the region were associated with the greater forest park passenger flow.Through the analysis of Baidu Index and Forest Park traffic scatter plot,it was obvious that the correlation between the output and the input area of the tourists is obviously different.The results of this study will be helpful to guide the development plan of forest park and the operation decision of forest park management department.