摘要
文化景观型绿道因其对沿线周边的文化遗产点、城市绿地、风景区等进行串接,成为当下满足公众精神文化需求的重要载体,然而游客评价数据类型多样、数据量庞大,因此,如何通过搜集和分析绿道沿线节点的游客评价数据,辅助规划和管理成为当前迫切需要解决的问题。文章利用机器学习技术及平台对珠海香山古驿道重要节点的网络评论文本及图片进行分析,旨在为其他同类型绿道的使用效果评价与规划建设提供借鉴与参考。结果表明:1)绿道沿线景观风貌是影响游客体验的重要因素,别具特色的景观风貌能吸引游客注意力和触发场所互动行为;2)不同空间环境下游客对植物景观的偏好不同,在小规模场地中游客更喜爱观赏性花卉,在开阔场地中则更偏好高大乔木;3)评价数据反映出沿线景点存在性价比低、展览内容缺乏特色等问题。根据分析结果,结合实地调研为文化景观型绿道建设提出合理建议。
Cultural landscape greenway has become an important carrier to meet the spiritual and cultural needs of the public by connecting the cultural heritage, urban green spaces and scenic spots around the greenway. However, the data on tourist evaluation are diverse in types and huge in number. It is urgently needed to collect and analyze the data on tourist evaluation of the greenway nodes to assist in the planning and management of the greenway. In order to provide references for the use effect evaluation and the planning & construction of other similar greenways, this paper uses machine learning technology and relevant platform to analyse the online comment text and pictures about the important nodes along Xiangshan Historical Trail in Zhuhai. The results show that: 1) The landscape and scenery along the greenway is an important factor affecting the experience of tourists, and the unique landscape and scenery can attract tourists’ attention and trigger the interactive behavior;2) Tourists have different preferences on plant landscapes in different spatial environments. Tourists in small-scale sites prefer ornamental flowers and those in open spaces love tall trees better;and 3) The evaluation data reflects the problems such as low cost-benefit ratios of scenic spots along the greenway and the lack of exhibition content with characteristics. According to the analysis results and field investigation, reasonable suggestions are proposed for the development of cultural landscape greenways.
作者
谢杰航
李冰钶
翁殊斐
Xie Jiehang;Li Bingke;Weng Shufei(College of Forestry and Landscape Architecture,South China Agricultural University,Guangzhou 510642,China)
出处
《中国城市林业》
2022年第5期113-118,共6页
Journal of Chinese Urban Forestry
基金
广东省省级大学生创新创业训练计划项目(201910564178)。
关键词
机器学习
大数据
文化景观型绿道
游客体验
machine learning
big data
cultural landscape greenway
tourist experience
