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| 基于地理探测器和GWR模型的中国重点镇布局定量归因 | |
| 引用本文： | 韩静,芮旸,杨坤,刘薇,马滕.基于地理探测器和GWR模型的中国重点镇布局定量归因[J].地理科学进展,2020,39(10):1687-1697. |
| 作者姓名： | 韩静 芮旸 杨坤 刘薇 马滕 |
| 作者单位： | 1.西北大学城市与环境学院,西安710127 2.西安建筑科技大学建筑学院,西安 710055 |
| 基金项目： | 国家自然科学基金项目(41601174);国家自然科学基金项目(41401184) |
| 摘 要： | 重点镇是小城镇发展的龙头,形成科学合理的重点镇布局对优化中国城市化战略格局有重要意义。论文以2004年和2014年分别公布的1887个和3675个全国重点镇为样本,对其分布及效应的变动特征进行探究,进而在地级尺度对重点镇布局的影响因子及其作用进行地理探测和局部空间回归。结果表明：① 经增补调整,中国重点镇布局及建设效应的均衡性增强,主要集聚区西移北扩,冷热点的分布突破“胡焕庸线”,经济辐射效应的分化程度减弱,体现出政策因素的有力影响。除县际均衡和区域倾斜政策外,重点镇的分布还受到海拔高度、公路网密度、常住人口城镇化率等因子的显著作用。② 因子探测器、GWR模型和交互作用探测器的结合能更精准地刻画影响因子的作用方式、方向、路径和强度。中国重点镇的布局不是5个显著性因子均匀、独立、直接作用的结果,而是影响均具空间异质性的各因子两两交互作用后增效的产物。③ 县际均衡政策与其他因子的协同作用是形成现有重点镇分布格局的主导力量;区域倾斜政策的效果总体较好,但目标区域还需更准确。 |
| 关 键 词： | 重点镇 定量归因 地理探测器 地理加权回归 中国 |
| 收稿时间： | 2019-10-24 |
| 修稿时间： | 2020-01-19 |
Quantitative attribution of national key town layout based on geodetector and the geographically weighted regression model |
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| HAN Jing,RUI Yang,YANG Kun,LIU Wei,MA Teng.Quantitative attribution of national key town layout based on geodetector and the geographically weighted regression model[J].Progress in Geography,2020,39(10):1687-1697. | |
| Authors: | HAN Jing RUI Yang YANG Kun LIU Wei MA Teng |
| Institution: | 1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China 2. College of Architecture, Xi'an University of Architectural Science and Technology, Xi'an 710055, China |
| Abstract: | National key towns are the leader in the development of small towns. The formation of scientific and reasonable national key town layouts is of great significance for optimizing China's urbanization strategy. Taking the 1887 and 3675 national key towns published in 2004 and 2014 respectively as samples, this study used geodector and the geographically weighted regression (GWR) model to explore the changing characteristics of their distribution and analyze the influencing factors of national key town layouts and effects at the prefecture level. The results show that: 1) After the adjustment by the government, the balance of the layout and construction effect of national key towns is enhanced. The main gathering areas moved westward and northward, the distribution of cold spots and hotspots break through the "Hu Huanyong Line", and the degree of differentiation of economic radiation effect is weakened, reflecting the powerful influence of policy factors. In addition to the inter-county balance and regional preferential policies, the distribution of national key towns is also significantly affected by factors such as altitude, road network density, and resident population urbanization rate. 2) The combination of the factor detector, the GWR model, and the interaction detector can more accurately characterize the mode of action, direction, path, and intensity of the influencing factors. The layout of national key towns is not the result of the uniform, independent, and direct effect of the five significant factors, but the product of the synergistic effect of the interaction of the factors with spatial heterogeneity. 3) The synergy between the inter-county balance policy and other factors is the dominant force in the formation of the existing layout of the key towns; the effect of the regional preferential policy is overall positive, but the target areas need to be more accurately identified. |
| Keywords: | national key towns quantitative attribution Geodetector geographically weighted regression China |
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