AAAAA级旅游景区结构与区域要素相关性分析
发布时间:2018-11-22 11:59
【摘要】:《旅游区(点)质量等级评定办法》的修订及等级划分改革,都充分说明了我国对旅游景区健康发展的重视。旅游景区作为旅游业的核心产品,是吸引游客的最关键要素,在旅游规划管理中处于重要的位置。5A级旅游景区作为我国旅游等级最高的类型,是我国及其所在区域旅游形象的代表。同时旅游业的迅猛发展,带动了区域经济的不断发展,也促进了产业结构的转型,增强区域竞争力,可在我国东中西部均衡发展的道路上扮演重要的角色。研究5A级旅游景区的结构及其影响因素具有重要意义。 本文研究了截止2012年137家5A级旅游景区的类型结构、空间结构及品牌结构,在对类型及品牌结构研究时主要使用了定性分析的方法,对空间结构进行研究时主要运用计量地理学中的最邻近距离法、地理集中指数法及基尼系数法,并且用ArcGIS9.3的空间分析工具对5A级旅游景区的分布密度做了研究。通过研究得出景区在类型、空间及品牌三个方面的特征。结构的形成有其内在的因素,故运用数学分析法中的相关分析法对5A级旅游景区数量与所选取的区域要素:区域经济、交通通达性、客流量各影响指标间的相关程度进行了比较研究,表明5A级旅游景区空间结构差异的形成是多种因素综合影响的结果。由此我们对5A级旅游景区的区域差异及形成原因有了明确的认识,在此基础上提出了一些建议,为5A级景区的建设提供了科学的依据。
[Abstract]:The revision of the method of quality rating of tourist areas (points) and the reform of grade classification fully show that our country attaches great importance to the healthy development of tourist spots. As the core product of the tourism industry, tourist attractions are the most important factor to attract tourists and play an important role in the tourism planning and management. It is the representative of tourism image of our country and its region. At the same time, the rapid development of tourism not only drives the development of regional economy, but also promotes the transformation of industrial structure, and strengthens the regional competitiveness, which can play an important role in the balanced development of China's east, west and west. It is of great significance to study the structure of 5A grade scenic spot and its influencing factors. This paper studies the type structure, spatial structure and brand structure of 137 5A grade scenic spots up to 2012. The qualitative analysis method is mainly used in the study of type and brand structure. In the study of spatial structure, the nearest distance method, geographical concentration index method and Gini coefficient method are mainly used in econometric geography, and the distribution density of 5A grade scenic spot is studied by using the spatial analysis tool of ArcGIS9.3. Through the study of scenic spots in the type, space and brand three aspects of the characteristics. The formation of structure has its own internal factors, so the correlation analysis method in mathematical analysis is used to analyze the number of 5A grade tourist attractions and the selected regional elements: regional economy, traffic accessibility, etc. A comparative study on the degree of correlation among the influencing indexes of passenger flow shows that the formation of spatial structure difference of 5A grade scenic spots is the result of the comprehensive influence of many factors. Therefore, we have a clear understanding of the regional differences and the reasons for the formation of 5A grade scenic spots, and put forward some suggestions on this basis, which provides a scientific basis for the construction of 5A grade scenic spots.
【学位授予单位】:重庆师范大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F592
本文编号:2349322
[Abstract]:The revision of the method of quality rating of tourist areas (points) and the reform of grade classification fully show that our country attaches great importance to the healthy development of tourist spots. As the core product of the tourism industry, tourist attractions are the most important factor to attract tourists and play an important role in the tourism planning and management. It is the representative of tourism image of our country and its region. At the same time, the rapid development of tourism not only drives the development of regional economy, but also promotes the transformation of industrial structure, and strengthens the regional competitiveness, which can play an important role in the balanced development of China's east, west and west. It is of great significance to study the structure of 5A grade scenic spot and its influencing factors. This paper studies the type structure, spatial structure and brand structure of 137 5A grade scenic spots up to 2012. The qualitative analysis method is mainly used in the study of type and brand structure. In the study of spatial structure, the nearest distance method, geographical concentration index method and Gini coefficient method are mainly used in econometric geography, and the distribution density of 5A grade scenic spot is studied by using the spatial analysis tool of ArcGIS9.3. Through the study of scenic spots in the type, space and brand three aspects of the characteristics. The formation of structure has its own internal factors, so the correlation analysis method in mathematical analysis is used to analyze the number of 5A grade tourist attractions and the selected regional elements: regional economy, traffic accessibility, etc. A comparative study on the degree of correlation among the influencing indexes of passenger flow shows that the formation of spatial structure difference of 5A grade scenic spots is the result of the comprehensive influence of many factors. Therefore, we have a clear understanding of the regional differences and the reasons for the formation of 5A grade scenic spots, and put forward some suggestions on this basis, which provides a scientific basis for the construction of 5A grade scenic spots.
【学位授予单位】:重庆师范大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F592
【参考文献】
相关期刊论文 前10条
1 吴必虎;俞曦;党宁;;中国主题景区发展态势分析——基于国家A级旅游区(点)的统计[J];地理与地理信息科学;2006年01期
2 谢志华;吴必虎;;中国资源型景区旅游空间结构研究[J];地理科学;2008年06期
3 郭来喜,吴必虎,刘锋,范业正;中国旅游资源分类系统与类型评价[J];地理学报;2000年03期
4 林金忠;户籍制度变迁及其对城镇化的影响[J];福建行政学院福建经济管理干部学院学报;2002年03期
5 王燕;阎顺;赵彩龙;;新疆旅游资源的类型、等级及空间分布特征[J];干旱区地理;2009年05期
6 吴长亮;;我国人均GDP与旅游市场的关系研究[J];河南机电高等专科学校学报;2011年03期
7 倪艳;;湖南“3+5”城市群旅游资源群空间结构研究——以国家4A和3A级景区为例[J];湖南商学院学报;2010年04期
8 马晓龙,杨新军;中国4A级旅游区(点):空间特征与产业配置研究[J];经济地理;2003年05期
9 袁俊;余瑞林;刘承良;蒋永业;;武汉城市圈国家A级旅游景区的空间结构[J];经济地理;2010年02期
10 黄远水;陈钢华;伍弦;;福建省旅游景区空间结构研究——基于国家3A级以上旅游景区的统计分析[J];经济地理;2010年07期
,本文编号:2349322
本文链接:https://www.wllwen.com/guanlilunwen/lvyoujiudianguanlilunwen/2349322.html