基于自组织神经网络的居民区域旅游影响感知研究--以安徽省灵璧县为例

Study on the Residents' Perception of Regional Tourism Impact Based on Self-organizing Newral Network——A Case of Lingbi County,Anhui Province

本文以旅游资源型小城镇安徽省灵璧县为例,以居民对旅游影响的感知、态度为基础,利用自组织神经网络方法,对居民旅游影响感知进行分类研究,并对分类结果进行深入剖析。通过分类研究,把握旅游地居民感知特征,为旅游地的可持续发展、旅游规划提供依据。同时作者将分类结果与前人对不同发展阶段旅游地的分类结果进行比较分析,验证了旅游地发展阶段理论,证实了神经网络方法在居民旅游影响感知分类研究中的适用性,促进了旅游学科与更多方法的融合。

The paper, taking Lingbi County, a small resource-type town in Anhui as an example, based on residents＇ perception of tourism impact and attitude, makes a classifiew study on residents＇ perception by using self-organizing neural network and makes in depth analysis of the result of classification. The classified study serves to get hold of the features of their perception, providing basis for the sustainable development of tourism destinations and tourism planning. Meanwhile, the authors test the theory of development phase of tourism destinations and verify the applicability of neural network in the classified study of residents＇ perception of tourism impact by comparing the result of classification with that made by predcessors so as to promote the merge of tourism science with more methods.