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滨海旅游功能分区及其开发潜力评价方法——以辽宁省为例 被引量:1

Research on Development Potential Evaluation of the Coastal Tourism Resources in Liaoning Province
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摘要 海洋旅游资源是海洋旅游业赖以发展的基础和前提,科学地分析和评价海洋旅游资源对于促进我国旅游产业高质量发展具有重要的现实意义.对辽宁省海洋旅游资源空间定位与分析,尝试将海洋旅游资源划分为滨海观光、滨海文化、滨海生态、滨海乡村4大专题旅游功能区;然后,利用GIS空间分析方法对辽宁省滨海旅游资源进行了多尺度格网化分析与评价,探索了各网格单元内旅游功能及开发潜力;最后,针对全省滨海旅游地、旅游资源高质量发展,提出了关于辽宁省海洋旅游业高质量发展的建议. Marine tourism resources are the basis and prerequisite for the development of marine tourism. For this reason, it is of practical significance to scientifically analyze and evaluate the high-quality development of marine tourism resources, so as to promote the high-quality development of China’s tourism industry. Firstly, based on the spatial orientation and analysis of the marine tourism resources in Liaoning Province, this thesis attempts to divide marine tourism resources into four thematic functional areas of tourism: coastal tourism, coastal culture, coastal ecology and coastal countryside. Utilizing the GIS spatial analysis method, the paper also carries out the multi-scale grid analysis and evaluation of the coastal tourism resources of Liaoning Province and explores the tourist functions and development potential within each grid cell. Finally, aiming at the high-quality growth of coastal tourist sites and resources across the province, it proposes suggestions for high-quality development of marine tourism in Liaoning Province.
作者 李鹏 邱琬钧 虞虎 王英杰 黄栋 张梦娜 LI Peng;QIU Wanjun;YU Hu;WANG Yingjie;HUANG Dong;ZHANG Mengna(Institute of Marine Sustainable Development,Liaoning Normal University,Dalian 116029,China;University Collaborative Innovation Center of Marine Economy High-Quality Development of Liaoning Province,Dalian 116029,China;Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciencey Beijing 100101,China)
出处 《福建师范大学学报(自然科学版)》 CAS 2022年第2期102-108,共7页 Journal of Fujian Normal University:Natural Science Edition
基金 辽宁省社会科学规划项目(L20CY006)。
关键词 滨海旅游 开发潜力 功能区分类 辽宁省 GIS空间分析 coastal tourism development potential tourism function classification Liaoning Province GIS spatial analyst
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