摘要
分析游客对气候变化的感知对旅游目的地可持续发展具有重要意义。通过获取2011年1月至2018年6月游客在新浪微博发布的有关干旱区5A级景点气候条件的50万余字评价文本,借助基于人工神经网络的情感分析法与扎根理论探讨了游客对气候情感的时空分异特征,并着重分析了低情感值的影响因素。结果发现:①气候情感整体值为0. 757,为"好"级;②从时间演变上看,情感值呈下降趋势,7年间的降幅为2. 46%,但情感值上升的景区数量与下降的景区数量基本持平;③从空间上看,低值区位于干旱区中心,高值区分布在东西两侧;④气候不佳、身心健康、景区受损、游览限制、交通受阻、期望差异6个维度构成了低情感值的影响因素。
Analysis of tourists' perception of climate change was important for the sustainable development of tourism destinations. Obtaining more than 500000 words of comments published by Sina Weibo about the climatic conditions of 5 A-level scenic spots in the arid area from January 2011 to June 2018,this paper explored the spatial and temporal differentiation characteristics of tourists' climate emotions with the help of sentiment analysis based on artificial neural network,and analyzed the influencing factors of low emotional value using grounded theory. The results showed that: ①The overall climate emotional value was 0. 757,which was a good grade. ②From the perspective of time evolution,the climate emotional value showed a downward trend,with a range of 2. 46% in 7 years,but the number of scenic spots with rising emotional value was the same as the number of scenic spots that were falling. ③From the spatial perspective,the low emotional value area was located in the center of the arid area,and the high value area was distributed in the east and west sides. ④The influencing factors was constituted by six dimensions,which were poor climate,physical and mental health,damage to scenic spots,restricted travel,blocked traffic,and expected differences.
引文
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