基于机器学习的南京市旅游地个性及其文化景观表征

发布时间：2018-05-01 09:32

本文选题：地方精神属性 + 城市旅游地个性　；参考：《地理学报》2017年10期

【摘要】：旅游地具有物质和精神双重属性。鉴于旅游地精神属性在量化表达和测量方面的困难,以往旅游地研究较少涉及。旅游地个性概念的提出为旅游地精神属性研究打开了思路。由于开展时间不长,当前旅游地个性研究大多基于营销学中的品牌个性研究思路展开,缺乏对地方适用性的考量,且尚未深入到对个性表征形式及表征机制的探讨。基于此,从地理学视角出发,选取城市旅游地作为研究对象,着眼地方特性,系统构建城市旅游地个性量表,在此基础上,开展针对案例地城市南京的个性测量和分析,并以城市文化景观作为表征媒介,深入探究城市旅游地个性的景观表征形式及表征机制。研究发现:城市旅游地个性主要包含态度、气质、性格、能力四大特征;城市文化景观是城市旅游地个性的重要表征媒介,包含现代空间景观、传统空间景观、生态景观、生活景观、社会景观五大维度;以上景观维度及其所辖景观元素在表征城市旅游地个性方面发挥不同作用。研究过程及结论为包括旅游地在内的地方精神属性研究提供了一种概念框架和方法体系,是对精神层面人地关系认识上的丰富。机器学习这一智能化探索型数据分析手段的运用为处理地理学中普遍存在的高维非线性噪声数据提供了有力的方法支撑。
[Abstract]:Tourist destination has the dual attribute of material and spirit. In view of the difficulties in quantification and measurement of tourist destination spiritual attributes, previous studies on tourist destinations rarely involved. The concept of tourist destination personality opens the way for the study of tourist destination spirit attribute. Because of the short development time, the current tourism destination personality research mostly based on the brand personality research ideas in marketing, lack of the local applicability of the consideration, and has not been in-depth into the form of personality characterization and characterization mechanism. Based on this, from the perspective of geography, this paper selects the city tourism destination as the research object, focusing on the local characteristics, systematically constructs the personality scale of the city tourism destination, and on this basis, carries out the personality measurement and analysis for the case city of Nanjing. And take the urban cultural landscape as the representation medium, deeply explores the landscape representation form and the representation mechanism of the urban tourist destination individuality. It is found that the personality of urban tourist destination mainly includes four characteristics: attitude, temperament, character and ability, and urban cultural landscape is an important medium for expressing the personality of urban tourist destination, which includes modern space landscape, traditional space landscape, ecological landscape, and so on. The five dimensions of life landscape and social landscape, the landscape dimension above and the landscape elements under their jurisdiction play different roles in representing the personality of urban tourist destination. The research process and conclusion provide a conceptual framework and a method system for the study of local spiritual attributes including tourist destinations. It is a rich understanding of the relationship between man and land on the spiritual level. The application of machine learning, an intelligent exploratory data analysis method, provides a powerful support for dealing with the high dimensional nonlinear noise data widely existed in geography.
【作者单位】：南京师范大学地理科学学院;江苏省地理信息资源开发与利用协同创新中心;南京大学地理与海洋科学学院;
【基金】：国家自然科学基金项目(41301145,41671137) 国家旅游局青年专家培养计划(TYETP201526) 江苏高校优势学科建设工程资助项目~~
【分类号】：F592.7;G127

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