Traditional villages are an important carrier for promoting rural revitalization and new urbanization construction.The spatial distribution characteristics of 182 national-level traditional villages in Shaanxi Prov-ince were analyzed as research objects.Using ArcGIS network analysis and GWR model,the spatial differenti-ation of traditional village accessibility characteristics and influencing factors at the county and town scales were analyzed in depth.The results of the study show that:① The national-level traditional villages in Shaanxi Province are characterized by agglomeration spatial distribution,forming four main agglomeration area in space.② The overall level of accessibility is low,showing a stepwise decline centered on Guanzhong.③There is strong spatial instability in the accessibility and influencing factors of traditional village accessibility at different spatial scales.At the county level,the elevation has a positive correlation with the accessibility of tra-ditional villages.However,at the town level,both positive and negative relationships coexist,and are charac-terized by a gradual increase from the northwestern part of Yulin and the central part of Weinan to the periph-eral circles.At the county level,the distance to neighboring rivers is negatively correlated with the level of ac-cessibility of traditional villages.However,at the town level,its impact on accessibility shows a decreasing trend from southern and northern Shaanxi to the central part of the country.④ Elevation,slope,and the dis-tance to neighboring rivers are the main factors in the accessibility of national-level traditional villages in Shaanxi Province and have different influencing effects in different areas.Research on the accessibility of tra-ditional villages can help reveal the ways to improve the accessibility of traditional villages in different regions,and can provide a scientific basis for the formulation of future conservation and utilization strategies for tradi-tional villages.
关键词
传统村落/可达性/GWR模型/不同尺度/陕西省
Key words
traditional villages/accessibility/geographically weighted regression model/different scales/Shaanxi Province
维普
万方数据