再生性资源型城市工业化与城镇空间耦合格局及驱动因素——以徐州市为例

整合脱钩模型、耦合协调模型和工业化城镇空间响应测度模型,采用ESDA和GWR等方法,以镇域为研究单元,分析了2003~2015年徐州市工业化与城镇空间耦合格局及影响因素。结果表明：徐州市工业化与城镇空间的脱钩关系呈现由无脱钩向绝对脱钩状态演化,二者之间的耦合协调程度呈增强趋势,但耦合作用不强;徐州市镇域工业化城镇空间响应程度呈波动性增强之势,各镇域间差异在逐渐增大;徐州工业化城镇空间响应强度差异的“一带”、“两翼”格局正在形成,交通区位优越类镇域尤为显著,表明再生性资源型城市工业化城镇空间响应的禀赋基础正在发生改变; 弱响应镇域主要集中于远离城市且区位不便的区域,持续表现为冷点区域,与经济发展水平的区域格局具有一致性;徐州市工业化城镇空间响应的影响因素作用程度呈现政府调控>投资因素>发展阶段>基础设施的特征,且均呈减弱之势,但各因素的影响作用表现出显著的空间异质性。

Spatial Pattern and Influence Factors Analysis on Coupling and Coordinating Degree of Industrialization and Urban Space of Regenerative Resource-based Cities: A Case of Xuzhou City

Based on the decoupling model, coupling coordination model and spatial response measurement model of industrial towns, the article analyzed the coupling pattern of industrialization and urban space as well as its influencing factors in Xuzhou city from 2003 to 2015 by using the methods of Exploratory Spatial Data Analysis (ESDA) and Geographical Weighted Regression model (GWR). The results showed as followed. Firstly, the decoupling relationship between industrialization and urban space in Xuzhou City had evolved from no decoupling to absolute decoupling, and the degree of coupling coordination between them showed an upward trend, but the coupling effect was not strong. Secondly, the degree of industrialization urban spatial response presented a trend of fluctuating increasing in the town of Xuzhou, and the difference among the various towns increased gradually. Thirdly, the strength difference of industrialization urban space response were forming the pattern of one belt and two wings, and the towns with superior traffic location were particularly significant, which indicated that the endowment basis of industrialization urban spatial response in regenerative resource-based cities had been changing. Fourthly, the low urban space response towns mainly agglomerated in the areas far from the city where the location was unchanged, and it continued to present as cold point areas, consistent with the regional pattern of economic development level. Finally, we found that the degree of influence factors on spatial response of industrial towns had the characteristics of the greatest effects on industrialization urban space response, followed by investment factors, development stage and infrastructure, both showing a trend of weakening, but the influence of various factors showed significant spatial heterogeneity.