东北地区城镇化质量测度及其时空格局特征

采用熵值法确定权重，运用探索性空间数据分析方法对东北地区34个地级及以上城市2008—2018年城镇化质量进行测度并分析其时空格局特征。结果发现：从整体变化趋势来看，东北地区整体的城镇化质量呈现显著提升趋势，但2015—2018年增长曲线呈现出“U”字型波动特征，各子系统中“城市活力”得分呈现显著下降趋势。从时空格局特征来看，东北地区城镇化质量分布的时空分异明显，整体显著提升趋势下部分城市出现“阶段性”下降，通过LISA集聚图分析发现，东北地区城镇化质量的“高值”集聚区域主要分布在“哈长”城市群和辽中南城市群，“低值”集聚区域主要分布在黑龙江省北部地区。

Measurement and Spatio-temporal Patterns of Urbanization Quality in Northeast China

With high-quality development as the starting point, the entropy method is used to determine the weights, and the exploratory spatial data analysis method is used to measure the urbanization quality of 34 cities at the prefecture level and above in Northeast China from 2008 to 2018 and analyze the characteristics of their temporal and spatial patterns. The results showed that: From the overalltrendof change, the urbanization quality of Northeast China showed a significant improvement trend, but the growth curved from 2015 to 2018 showed a ‘U’-shaped fluctuation, and the index scores of ‘urban vitality’ in the criterion-level showed a significant decline trend.From the characteristics of spatial and temporal patterns, the spatial and temporal differentiation of urbanization quality distribution in Northeast China was obvious. Under the overall significant improvement environment, some prefecture-level cities experienced a ‘staged’ decline. Through the analysis of the LISA cluster, it was found that the ‘high-value’ agglomeration areas of urbanization quality were mainly distributed in the ‘Harbin-Changchun’ rban agglomeration and ‘central and southern Liaoning’ urban agglomeration, and the ‘low-value’ agglomeration areas were mainly distributed in the northern of Heilongjiang Province. On the whole, the scores of various cities in northern Heilongjiang appear ‘low level’ agglomeration, and the scores of the ‘Harbin-Changchun’ urban agglomeration andmid-southern Liaoning urban agglomeration appear ‘high’ agglomeration.