基于网络数据的水利风景区感知意象

Perceptual Image of Water Conservancy Scenic Spot Based on Web Data

文章以泰宁水利风景区为例,基于丰富的网络图文数据,运用ROST CM软件及内容分析法对景区感知意象进行分析研究。结果表明:1)水文景观类照片数量最多,且所有景观类照片占比76.90%;涉及景区景观文本词汇最多,景区活动次之;语义网络以大金湖、上清溪和景色为核心展开,各景区景点与旅游活动之间存在紧密联系。2)在认知形象中景区景观主类目占比最大,其次是景区旅游活动和景区服务与设施;特色景观和活动是游客关注的焦点,但仍存在收费不明、服务态度差等不足之处。3)游客积极情绪占比高达80.80%,负面评论集中于景区门票服务和管理。该研究对拓宽水利生态旅游市场、完善水利风景区的规划和管理具有重要意义。

Taking Taining Water Conservancy Scenic Spot as a case, the paper analyzes the perceptual image of the scenic spot based on abundant web data of picture and text and using ROST CM and content analysis method. The results show that: 1) The photos of hydrological landscape photos are the most in number, taking up 76.90% of landscape-oriented photos;most of the text with high frequency are related to scenic spots, followed by scenic activities;semantic web is concentrated on "Dajin Lake", "Shangqing Stream" and "scenery", and there is a close relationship between scenic spots and tourism activities. 2) In terms of the cognitive image, the main category of scenic spot landscape takes the largest proportion, followed by scenic spot tourism activities and scenic spot services & facilities. The characterized landscape and activities are the focus of tourists’ attention, but there are still some deficiencies such as multiple fee collection and poor service. And 3) 80.80% of tourists show a positive emotion, while the negative comments are focused on the ticket service and management. This study is of great significance for expanding the water conservancy based ecological tourism market and improve the planning and management of water conservancy scenic spots.