摘要
精准识别旅游类乡村的空间格局及影响因子对推进乡村旅游高质量发展具有重要意义.通过整合国家及省级层面公布的京津冀地区的多类型旅游类乡村的空间信息,采用核密度分析法、地理集中指数法和不均衡指数法分析其空间分布特征;选取自然地理、生态环境、社会人口、经济发展、交通运输、旅游发展 6 个维度19 个影响因子,采用地理探测器与地理加权回归模型对其空间分布的影响因子进行分析.研究发现:京津冀地区旅游类乡村空间分布较为集中,形成了4 个高密度区和3 个中密度区;影响因子中森林面积的解释力最强,GDP总量最弱,交互作用结果均为增强;不同影响因子在空间分布上有明显差异,均为正反双向影响,其中道路密度和人均GDP的反向作用范围达到了80%以上.基于此提出京津冀地区乡村旅游空间布局发展的建议.
Abstract
It's of great significance to accurately identify the spatial pattern and influencing factors of tourism villages for promoting the high-quality development of rural tourism.The study integrated the spatial in-formation of multiple types of tourism villages in the Beijing-Tianjin-Hebei region published by the national and provincial administrations,and analyzed their spatial distribution characteristics by using the kernel density anal-ysis method,the geographic concentration index method,and the imbalance index method;To analyze the influ-encing factors of its spatial distribution,it also selected a total of 19 factors in six dimensions,namely,natural geography,ecological environment,socio-demographic,economic development,transportation,and tourism de-velopment,using a geographic detector and geographically weighted regression model.The study showed that:The spatial distribution of Beijing-Tianjin-Hebei tourism villages is more concentrated,forming 4 high-density zones and 3 medium-density zones;the explanatory power of forest coverage is the strongest among the influen-cing factors and weakest for GDP,and the results of factor interactions among the influencing factors are all en-hanced.There are significant differences in the spatial distribution of the different influences,which are both positive and negative,with road density and GDP per capita with an inverse range of over 80 percent.Thus,a proposal is put forward for the development of the spatial layout of rural tourism in Beijing-Tianjin-Hebei Region.
基金项目
中国科协"青年人才托举工程"(2021QNRC001)
河南科技厅科技攻关项目(212102310225)
NETL
NSTL
维普
万方数据