旅游资源区域组合:内涵、识别技术与关键问题
Regional tourism resources combination:Connotation,identification technology and key issues
朱鹤 1高翔宇 1张生瑞 2张桐艳2
作者信息
- 1. 中国科学院地理科学与资源研究所,北京 100101;中国科学院大学资源与环境学院,北京 100101
- 2. 中国海洋大学管理学院,青岛 266100
- 折叠
摘要
旅游资源的认知是旅游产业发展的基础工作,传统的旅游资源研究、保护和开发通常依托于单体展开,而忽视了资源的集聚特征和组合价值.聚焦旅游资源区域组合,以国家战略导向和新时代旅游业发展需求为背景,重新梳理旅游资源区域组合的相关研究基础;面向旅游资源价值转化和可持续利用,从地域特征、组合特征和价值特征三个方面分析旅游资源区域组合的内涵;基于多源异构数据,以自动化识别为目标,结合知识图谱、文本分析、图像分析等技术,提出旅游资源区域组合的识别思路、方法和技术体系;归纳出旅游资源区域组合划定的原则与依据、旅游资源区域组合模式与方法、旅游资源区域组合的评价体系、旅游资源区域组合的价值转化路径和旅游资源区域组合开发保障体系五大关键问题,力求推动旅游资源区域组合的相关理论研究与实践探索.
Abstract
The cognition of tourism resources is the basic work of the development of tourism industry.Traditional research and development of tourism resources usually rely on the devel-opment of single unit,and neglect the aggregation characteristics and combined value of re-sources.This study focuses on the regional tourism resources combination,and reorganizes the relevant research basis of regional tourism resources combination under the context of national strategic orientation and tourism development needs in the New Era.For the value transforma-tion and sustainable utilization of tourism resources,the connotation of regional tourism re-sources combination is analyzed from the aspects of regional characteristics,combined charac-teristics and value characteristics.Combining with knowledge mapping,text analysis,image analysis and other technologies,this paper puts forward the identification ideas,methods and techniques of regional tourism resources combination.It sums up five key problems of the re-gional tourism resources combination:the principle and basis of the division,the mode and method,the evaluation system,the path of value transformation,and the guarantee system.Go-ing forward,we will endeavor to advance the theoretical research and practical exploration of regional tourism resource combination.
关键词
旅游资源区域组合/内涵/识别技术/关键问题Key words
regional tourism resources combination/connotation/identification technology/key issues引用本文复制引用
基金项目
国家自然科学基金项目(42271248)
国家自然科学基金项目(42001243)
山东省自然科学基金项目(ZR2022QD132)
山东省自然科学基金项目(ZR2020QD008)
出版年
2024
NETL
NSTL
万方数据