基于网络文本的亲子旅游体验分析与可视化研究——以北京市为例

Research and Visualization on the Parent-child Tourism Based on Web Text: A Case of Beijing

采用内容分析法,借助ROST Content Mining 6软件对所搜集的北京市亲子旅游网络游记文本进行了特征词分析、语义网络分析、情感分析和可视化研究,探究了亲子游客体验的特征。结果表明:古建筑类和历史文化类景点构成了北京市亲子旅游的核心吸引物,亲子旅游者以目的地和孩子为中心,最关注交通方式、住宿环境和亲子产品三大要素。亲子旅游体验语义网络呈现“核心-次核心-边缘”三层结构,组建起各体验要素的关系体系。北京市亲子旅游的情感体验主要表现为积极情绪和中性情绪,亲子游客的旅游满意度和体验值整体较高。最后,就分析结论提出相关建议,为亲子旅游的管理与经营提供参考。

Based on the data of the online travel notes,the traveling experience of Parent-child tourists in Beijing has been explored using the method of content analysis.The key words,semantic net,emotions and attitudes of Parent-child tourists have been analyzed via the online data.The results showed that the ancient and historical architectures such as the Forbidden City,the Great Wall,and Tiananmen Square constitutes the core attraction of the Parent-child tour in Beijing.Centered with the children-care and traveling spots,the Parent-child tourists have paid their most attention to their transportation,accommodation environment and Parent-child products.This semantic network built by the key words of experience presented a three-tier structure:a core-sub core-edge layer,which constructs a relationship system for whole experiencing elements.For emotional experience,the Parent-child tourists in Beijing mainly reflected a positive or a neutral emotion and provided a high-level of tourism satisfaction and experience value.This research can provide references for the management and operation of parent-child tourism in the future.