摘要
借助核密度分析法探究陕西省43个乡村旅游示范村的空间分布特征,并计算可达性指数来分析其可进入性;选取与旅游示范村可进入性相关的地理因子,利用空间分析技术GWR回归模型剖析各大因子的影响程度及其在空间视角下的异质性.结果表明,乡村旅游示范村在陕西省的空间分布呈现出“关中平原最为密集,陕南和陕北次之,且陕南示范村密集程度高于陕北”的特点,可达性水平最好的3个旅游示范村都位于关中平原地区;在5大影响因子中,高程、坡度与可达性之间不存在显著相关性,而河网、路网和居民点密度与可达性水平之间存在显著影响,且对旅游示范村可达性分别呈现86.0%,83.7%和44.2%的正向影响,具有较强的空间异质性.陕西省政府需要进一步发挥主体作用,依靠多主体联动,融合地域特色和文化特征,对乡村旅游示范村进行有序开发和建设,促进乡村旅游的发展.
Taking 43 rural tourism demonstration villages in Shaanxi Province as research objects,the kernel density analysis method was used to explore the spatial characteristics of the tourism demonstration villages,and a reachability index was constructed to explore the reachability levels.In addition,the factors that affect the accessibility level are further selected,and the correlation degree of the influence factors and their spatial non-stationarity are analyzed using the GWR model.The results show that,the the spatial distribution pattern of rural tourism demonstration villages in Shaanxi Province shows the general characteristics of“the most densely in Guanzhong,and more in southern Shaanxi than northern Shaanxi”.The correlation between elevation,slope and accessibility is not significant.There is a significant impact between river network density,road network density,and residential density and accessibility level,and there have positive impact of 86%,83.7%and 44.2%on accessibility to the tourist demonstration village,and show strong spatial nonstationarity.Therefore,the Shaanxi Provincial Government needs to play a more important role,relying on multi-agent interaction,integrating regional and cultural characteristics,and making orderly development and construction of rural tourism demonstration villages to promote the development of rural tourism.
作者
张阳
靳雪
龚先洁
ZHANG Yang;JIN Xue;GONG Xian-jie(School of Economics and Management,Xi'an Aeronautical University,Xi'an 710077,Shaanxi,China;School of Economics and Management,Chang'an University,Xi'an 710064,Shaanxi,China)
出处
《西北师范大学学报(自然科学版)》
CAS
北大核心
2021年第5期26-32,共7页
Journal of Northwest Normal University(Natural Science)
基金
国家自然科学基金资助项目(41571346)
陕西省文化和旅游研究项目(SWHHLYKT201920)
陕西省教育厅科研计划资助项目(19JK0425)。