The A-level tourist attractions are an important carrier for the development of the tourism industry.As the most fundamental tourism supply,studying their spatial distribution pattern and driving forces is of great si...The A-level tourist attractions are an important carrier for the development of the tourism industry.As the most fundamental tourism supply,studying their spatial distribution pattern and driving forces is of great significance for promoting the process of regional tourism industrialization.This study used the tourism resource abundance index,nearest neighbor distance index,and geographic detector model to study the spatial characteristics and driving forces of A-level tourist attractions in China.The results showed that the A-level tourist attractions in China exhibit significant spatial clustering,but there are significant regional differences.They are mainly distributed on the southeastern side of the Hu Huanyong Line.Overall,the average of tourism resource abundance index is 71.74.The proportion of cities above that average is relatively low,and they form local high-value clustering areas mainly in the Beijing-Tianjin-Hebei urban agglomeration,Yangtze River Delta,and Chengdu-Chongqing regions.The spatial distribution patterns of various types of scenic spots also exhibit agglomeration characteristics,but their agglomeration scales and spatial patterns exhibit obvious regional differences.The spatial distribution pattern of A-level tourist attractions in China is a result of the combined effect of regional socio-economic factors and scenic environmental factors.Among them,the explanatory power of regional socio-economic factors is stronger than that of scenic environmental factors.Among the scenic environmental factors,resource endowment has the strongest explanatory power,and there are significant differences in the dominant factors influencing the distributions of different types of A-level tourist attractions.展开更多
Tourism has emerged as a major driving force in the growth and expansion of rural settlements. After several studies revealed spatial differentiation of touristization among rural settlements, studies were conducted t...Tourism has emerged as a major driving force in the growth and expansion of rural settlements. After several studies revealed spatial differentiation of touristization among rural settlements, studies were conducted to explain this phenomenon. However, most of these studies explained spatial differentiation of rural touristization in a qualitative way. More robust and detailed quantitative results are needed to evaluate the relative roles of different factors. In this study, which takes Yesanpo tourism as a case study, the Geo-detector method was introduced to evaluate determining factors of rural touristization. Results show that ＂distance to core entry＂, ＂tourist number and sojourn time＂, and ＂distance to the nearest scenic area＂ have had a strong effect on the rural touristization in Ye- sanpo, whereas ＂distance to river＂, ＂elevation＂, ＂distance to main road＂, and ＂slope＂ have had a weak influence. The latter did, however, contribute a lot to touristization when interacting with ＂distance to core entry＂, ＂tourist number and sojourn time＂, and ＂distance to the nearest scenic＂, indicating the importance of these four factors. Higher rural touristization occurred in the zone near the core entry, with many tourists, long sojourn times, and proximity to the scenic area.展开更多
以长三角区域3A级及以上高等级旅游景区为研究对象,采用地理信息系统(Geographic Information System,GIS)空间分析技术和地理探测器工具,对其空间分布特征和影响因素进行分析。结果表明:①长三角区域高等级旅游景区的整体空间分布状态...以长三角区域3A级及以上高等级旅游景区为研究对象,采用地理信息系统(Geographic Information System,GIS)空间分析技术和地理探测器工具,对其空间分布特征和影响因素进行分析。结果表明:①长三角区域高等级旅游景区的整体空间分布状态为集聚型,呈现出“大分散、小集聚”的空间分布特征。②建筑设施类和水域景观类旅游景区分布状态最为分散;长三角区域41个城市可按吸引物属性组合情况划分为“自然人文双优型”“自然优势型”“人文优势型”“自然人文景观双低型”4类旅游地。③通过地理探测器分析得知,长三角区域高等级旅游景区空间分异特征是自然、经济、社会三大因素互相交织、共同作用的结果;地文景观类和水域景观类旅游景区分布主要受自然维度因素影响,生物景观类旅游景区分布主要受“社会自然”维度因素影响,建筑设施类和历史古迹类旅游景区分布主要受“社会经济”维度因素影响,娱乐购物类旅游景区分布则呈现出“经济社会”维度的交织主导作用。基于上述分析结果,从推进区域旅游一体化、差异化协调发展的视角提出了优化建议。展开更多
基金The National Natural Science Foundation of China(42401207,42371195)The Youth Research Project of Humanities and Social Science of the Ministry of Education(22YJC790152)The Key Scientific Research Project of Colleges and Universities of Henan Province(23A790020)。
文摘The A-level tourist attractions are an important carrier for the development of the tourism industry.As the most fundamental tourism supply,studying their spatial distribution pattern and driving forces is of great significance for promoting the process of regional tourism industrialization.This study used the tourism resource abundance index,nearest neighbor distance index,and geographic detector model to study the spatial characteristics and driving forces of A-level tourist attractions in China.The results showed that the A-level tourist attractions in China exhibit significant spatial clustering,but there are significant regional differences.They are mainly distributed on the southeastern side of the Hu Huanyong Line.Overall,the average of tourism resource abundance index is 71.74.The proportion of cities above that average is relatively low,and they form local high-value clustering areas mainly in the Beijing-Tianjin-Hebei urban agglomeration,Yangtze River Delta,and Chengdu-Chongqing regions.The spatial distribution patterns of various types of scenic spots also exhibit agglomeration characteristics,but their agglomeration scales and spatial patterns exhibit obvious regional differences.The spatial distribution pattern of A-level tourist attractions in China is a result of the combined effect of regional socio-economic factors and scenic environmental factors.Among them,the explanatory power of regional socio-economic factors is stronger than that of scenic environmental factors.Among the scenic environmental factors,resource endowment has the strongest explanatory power,and there are significant differences in the dominant factors influencing the distributions of different types of A-level tourist attractions.
基金National Natural Science Foundation of China(41671151)
文摘Tourism has emerged as a major driving force in the growth and expansion of rural settlements. After several studies revealed spatial differentiation of touristization among rural settlements, studies were conducted to explain this phenomenon. However, most of these studies explained spatial differentiation of rural touristization in a qualitative way. More robust and detailed quantitative results are needed to evaluate the relative roles of different factors. In this study, which takes Yesanpo tourism as a case study, the Geo-detector method was introduced to evaluate determining factors of rural touristization. Results show that ＂distance to core entry＂, ＂tourist number and sojourn time＂, and ＂distance to the nearest scenic area＂ have had a strong effect on the rural touristization in Ye- sanpo, whereas ＂distance to river＂, ＂elevation＂, ＂distance to main road＂, and ＂slope＂ have had a weak influence. The latter did, however, contribute a lot to touristization when interacting with ＂distance to core entry＂, ＂tourist number and sojourn time＂, and ＂distance to the nearest scenic＂, indicating the importance of these four factors. Higher rural touristization occurred in the zone near the core entry, with many tourists, long sojourn times, and proximity to the scenic area.
文摘以长三角区域3A级及以上高等级旅游景区为研究对象,采用地理信息系统(Geographic Information System,GIS)空间分析技术和地理探测器工具,对其空间分布特征和影响因素进行分析。结果表明:①长三角区域高等级旅游景区的整体空间分布状态为集聚型,呈现出“大分散、小集聚”的空间分布特征。②建筑设施类和水域景观类旅游景区分布状态最为分散;长三角区域41个城市可按吸引物属性组合情况划分为“自然人文双优型”“自然优势型”“人文优势型”“自然人文景观双低型”4类旅游地。③通过地理探测器分析得知,长三角区域高等级旅游景区空间分异特征是自然、经济、社会三大因素互相交织、共同作用的结果;地文景观类和水域景观类旅游景区分布主要受自然维度因素影响,生物景观类旅游景区分布主要受“社会自然”维度因素影响,建筑设施类和历史古迹类旅游景区分布主要受“社会经济”维度因素影响,娱乐购物类旅游景区分布则呈现出“经济社会”维度的交织主导作用。基于上述分析结果,从推进区域旅游一体化、差异化协调发展的视角提出了优化建议。
