烟台市红色文化旅游资源空间分布特征及红色旅游高质量发展研究

Spatial Distribution Characteristics of Red Culture Tourism Resources and the High-quality Development of Red Tourism in Yantai City

在红色文化作为主流文化的新时代,用好用活我国丰富的红色资源对于传承和弘扬红色精神格外重要。通过明晰红色文化旅游资源空间分布格局,探究红色文化旅游高质量发展路径,从而为文化旅游业成为弘扬和传播主流价值的排头兵提供理论参考和科学依据。文章运用核密度分析方法、地理集中指数、最近邻指数和地理探测器,分析了烟台市红色文化旅游资源的空间分布特征及影响因素,并提出了烟台市红色文化高质量发展的策略。研究结果显示:(1)栖霞市、牟平区核密度最大,从空间结构上呈现出两带六组团的空间格局;(2)从空间分布均衡性上,红色文化旅游资源在各县(市、区)内分布不均衡,集中分布在栖霞市和牟平区;(3)烟台市红色文化旅游资源空间上呈现典型的集聚状态;(4)烟台市红色文化旅游资源空间分布受自然条件、社会经济、基础设施和政府政策等多种因素的复合影响,其中,高程、森林覆盖率、公共预算支出、旅馆密度是关键影响因子。

In the new era of red culture as a mainstream culture,it is particularly important to inherit and carry forward the red spirit with the rich red resources in China.By clarifying the spatial distribution pattern of red cultural tourism resources,the high-quality development path of red cultural tourism is explored,so as to provide theoretical reference and scientific basis for cultural tourism to become the vanguard of carrying forward and spreading mainstream values.This paper reports the spatial distribution characteristics and influencing factors of red culture tourism resources in Yantai City by using kernel density analysis,geographical concentration index,nearest neighbor index,and geographical detector,with strategies for the high-quality development of red culture in Yantai City being proposed.The results are as follows.(1)Qixia City and Muping District have the highest nuclear density,showing a spatial pattern of two belts and six groups from the spatial structure.(2)From the perspective of spatial equilibrium,the distribution of red cultural tourism resources in the counties(cities,districts)is unbalanced,concentrated in Qixia City and Muping District.(3)The red cultural tourism resources in Yantai City show a typical gathering state in space.(4)The spatial distribution of red cultural tourism resources in Yantai City is influenced by natural conditions,social economy,infrastructure and government policies,among which elevation,forest coverage rate,public budget expenditure and hotel density are the key factors.