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作 者:龚丽丹 顾秋实 黄羊山 刘洋阳 GONG Li-dan;GU Qiu-shi;HUANG Yang-shan;LIU Yang-yang(School of Humanity, Southeast University, Nanjing 211189, China;School of Hotel and Tourism Management, Hong Kong Polytechnic University, Hong Kong 999077, China)
机构地区:[1]东南大学人文学院,中国南京211189 [2]香港理工大学酒店及旅游业管理学院,中国香港999077
出 处:《湖南师范大学自然科学学报》2021年第6期18-27,84,共11页Journal of Natural Science of Hunan Normal University
基 金:国家自然科学基金资助项目(41701160);南京留学人员科技创新择优资助项目(宁人社函[2019]76号)。
摘 要:随着旅游业精细化发展,客源市场定位在旅游业中越来越重要,客源空间结构成为客源市场定位的重要依据。本研究依托南京智慧旅游大数据平台,收集2018年国庆长假期间南京市景区客源数据,结合景区特征并通过相关性分析与GIS可视化分析,研究南京市旅游景区客源空间结构。结果表明国庆长假期间,对于外地游客而言,景区观光仍占主流,而休闲与度假景区更多是本地人与上海游客的选择;在景区特征中,乡村类景区较人文类景区更具距离敏感性;不同客源市场游客在选择景区时既存在求同心理也存在求异心理。本研究根据景区特征将不同层级客源市场的空间结构可视化,有助于市场定位,对政府建设旅游副中心、景区营销和旅行社线路规划均具有重要意义。With the continuous refined development of tourism,the tourist market positioning is becoming increasingly important.The spatial structure of tourism sources is an important basis for the tourism market positioning.Based on the Nanjing Intelligent Tourism big data platform,this study collected the tourism source data of Nanjing scenic spots during the National Day holiday in 2018,and analyzed the spatial structure of tourism sources of Nanjing scenic spots by combining the characteristics of scenic spots,correlation analysis and GIS visualization analysis.The results show that during the National Day holiday,for tourists who do not live in Nanjing,sightseeing is still the mainstream,while local people and Shanghai tourists choose the leisure and vacation scenic spots.In the characteristics of scenic spots,rural scenic spots are more distance sensitive than humanistic scenic spots.Tourists in different source markets have the psychology of seeking similarities and differences when they choose scenic spots.The visualization of the spatial structure of different levels'scenic spots according to the characteristics is helpful to the market positioning and is of great significance to the government's construction of tourism sub center,scenic spot marketing and travel agency route planning.
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