首页|长三角城市群城乡融合的时空演变和影响因素研究

长三角城市群城乡融合的时空演变和影响因素研究

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随着我国经济社会发展步入新的阶段,构建健康的城乡关系成为促进我国高质量发展亟需解决的重要问题.本文以长三角城市群27座城市为研究对象,基于熵权TOPSIS法和趋势面分析,测度各城市城乡融合时空演变趋势,并通过灰色关联度模型,探寻各城市的影响因素.结果表明:在时序上,长三角城市群城乡融合度表现为融合水平低,存在突变型、增长型、稳定型和衰退型四种发展趋势.在空间上,长三角城市群城乡融合发展呈现明显的不均衡性,相对较高城乡融合水平城市分布重心向东南移动,中部地区发展优势相对优于南部、北部,东部地区优于西部.对于不同城乡融合水平发展趋势的城市,其主导影响因素各有不同.总的来说,城乡空间融合是突变型和增长型城市的主导影响因素,而稳定型和衰退型城市的主导影响因素是城乡经济融合和社会融合.
Spatio-temporal Evolution and Influencing Factors of Urban-rural Integration in the Yangtze River Delta Cities
As China's economy and society develop into a new phase,building a healthy urban-rural relationship has become an important issue to be solved for promoting high-quality development in the country.This article takes 27 cities in the Yangtze River Delta areas as the research subject and mea-sures the spatial-temporal evolution trend of urban-rural integration in each city based on the entropy weight TOPSIS method and the analysis of trend surface.It explores the influencing factors of each city through the gray correlation model.The results show that in terms of time sequence,the degree of urban-rural integration in the Yangtze River Delta areas manifested as low integrating level with four types of development trends:mutation,growth,stablilization and recession;in terms of spatial distribution,the development of urban-rural integration in the Yangtze River Delta cities shows obvious uneven-ness.Relatively-higher-integrating-level cities are distributed in the southeast direction,and the develop-ment advantages of the central region are relatively better than those in the southern and northern re-gions;those of the eastern region are better than those in the western region.The main influencing fac-tors affecting different types of urban-rural integration development trends are different.In general,ur-ban-rural spatial integration is the main influencing factor for cities of mutation type and growth type,while urban-rural economic integration and social integration are the main influencing factors for cities of stablility type and recession type.

urban-rural integrationentropy weight TOPSIS methodspatial trendthe gray correlation model

肖铁桥、周灿、杨婷、张少杰

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安徽建筑大学 建筑与规划学院,合肥 230601

安徽省国土空间规划与生态研究院,合肥 230601

城乡融合 熵权TOPSIS法 空间趋势 灰色关联度模型

安徽省高等学校省级人文社会科学研究重大项目安徽省高等学校省级人文社会科学研究重点项目

SK2020ZD252022AH050227

2024

淮阴工学院学报
淮阴工学院

淮阴工学院学报

影响因子:0.255
ISSN:1009-7961
年,卷(期):2024.33(1)
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