黄河流域城市多维收缩时空格局及驱动力研究

Study on multidimensional shrinkage spatial-temporal patterns and driving forces of cities in the Yellow River Basin.

作者信息

Xing Guangrui, Wang Dongfeng, Cai Wanxin

机构信息

College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, 450046, Henan, China.

School of Culture and Tourism, Henan University, Kaifeng, 475001, China.

出版信息

Sci Rep. 2025 Jul 2;15(1):22934. doi: 10.1038/s41598-025-06292-3.

Abstract

With economic globalization and the deepening process of industrialization and urbanization, China's urban development has entered a vital transition stage. As one of the most influential rivers in China, the Yellow River Basin (YRB), with ecological protection and high-quality development as China's national strategy, has not yet received sufficient attention for its urban shrinkage. Accordingly, this study constructs an evaluation index system for the shrinkage of cities in the YRB from four dimensions: population, economy, society and space. The entropy method and analytic hierarchy process are to determine the weights, the shrinkage model, the transfer matrix method and the exploratory spatial data analysis method are used to study the spatial-temporal evolution characteristics of 62 cities with data in the YRB. Random forest (RF) regression method was used to explore the influencing factors affecting the formation of urban shrinkage in the YRB and their influencing roles. The research results show that: (1) urban shrinkage in the YRB is characterized by spatial differentiation and shows a trend of drastic and concentrated development, with the shrinkage phenomenon becoming more and more significant; the degree of population shrinkage, economic shrinkage and social shrinkage is dominated by slight or moderate; the degree of space shrinkage and comprehensive shrinkage is dominated by high and heavy. (2) The reduction in the number of shrinking cities indicates a diminishing urban shrinkage across all dimensions, with a progressively increasing impact. (3) The accuracy of RF regression is high, and the main factors affecting the shrinkage of cities in the YRB account for 60.66%. An in-depth exploration of the characteristics of urban shrinkage and its development dynamics in the YRB from a multidimensional perspective will help to narrow the imbalance of urban development, promote high-quality development, and provide an essential reference to promote the progress of urban shrinkage research on a regional scale.

摘要

随着经济全球化以及工业化和城市化进程的深入,中国城市发展进入了关键的转型阶段。黄河流域作为中国最具影响力的河流之一,以生态保护和高质量发展作为国家战略,但其城市收缩问题尚未得到足够关注。据此,本研究从人口、经济、社会和空间四个维度构建黄河流域城市收缩评价指标体系。采用熵权法和层次分析法确定权重,运用收缩模型、转移矩阵法和探索性空间数据分析方法,对黄河流域62个有数据的城市的时空演变特征进行研究。采用随机森林(RF)回归方法探究影响黄河流域城市收缩形成的影响因素及其作用。研究结果表明:(1)黄河流域城市收缩具有空间分异特征,呈现出剧烈且集中的发展趋势,收缩现象愈发显著;人口收缩、经济收缩和社会收缩程度以轻度或中度为主;空间收缩和综合收缩程度以高度和重度为主。(2)收缩城市数量的减少表明各维度城市收缩程度在降低,影响程度逐渐增强。(3)RF回归精度较高,影响黄河流域城市收缩的主要因素占比60.66%。从多维视角深入探究黄河流域城市收缩特征及其发展动态,有助于缩小城市发展不平衡,推动高质量发展,为促进区域尺度城市收缩研究进展提供重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63ef/12217052/b20faedbf86e/41598_2025_6292_Fig1_HTML.jpg

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