长江经济带旅游景区时空分布差异及影响因素研究

以长江经济带11个省市124个城市为例,结合空间自相关和区域差异测度方法,选取2011年、2013年和2016年为研究时间节点,对长江经济带旅游景区时空分布差异及影响因素进行定量分析。结果表明:旅游景区分布的热点区和冷点区具有明显的时空继承性,且热点、冷点区空间集聚现象显著,地理邻近效应突出;旅游景区空间分布在长江经济带三大区域呈现不同结构模式,分别为极核式、点轴式、网络式;旅游景区的整体时空分布均衡程度不断增加,但区域内部差异显著:中游地区的旅游景区时空分布趋于均衡,下游和上游地区则呈现集中态势。在此基础上,探讨了长江经济带旅游景区时空分布差异的影响因素,主要包括资源稟赋、品牌塑造、创新意识等内在驱动力以及人口分布、经济发展、交通建设等外在驱动力。最后,提出了景区空间布局优化建议。

Study on Temporal and Spatial Distribution Difference and Influencing Factors of Tourist Attractions in Yangtze River Economic Belt

This paper takes year 2011,2013 and 2016 as the researching time section and in turn conducts the quantitative analysis on the spatial and temp oral distribution of tourist attractions in Yangtze River economic belt,based on the methods of spatial auto correlation and regional disparity measurement.The results show that:hot spots and cold spots in the spatial distribution of tourist attractions have a certain spatial and temporal inheritance;the development of hot spots and cold spots in tourist attractions is more obvious,which is considered as significant geographical proximity effect;the spatial distribution of tourist attractions presents different structural patterns in the three major regions of the Yangtze River economic belt,which are polar nuclear,point-axis,and network.The spatial and temporal distribution of tourist attractions is increasingly balanced,but the intra-regional differences are significant:the temporal and spatial distribution of tourist attractions in the middle tends to be balanced,the downstream and upstream regions are concentrated.Based on these findings,the influencing factors of the spatial and temporal distribution of tourist attractions in the Yangtze River economic belt are discussed.It mainly includes the internal driving forces such as resource endowment,brand building and innovation consciousness,as well as the external driving force such as population distribution,economic development and traffic construction.And then this paper proposes the optimization of the spatial layout of the scenic spots in the Yangtze River economic belt.