首页|辽中南地区城市增长与收缩时空演化及其影响因素——基于城市实体地域视角

辽中南地区城市增长与收缩时空演化及其影响因素——基于城市实体地域视角

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[目的]受限于社会经济数据空间化技术的发展,过往城市实体地域尺度下的城市收缩影响因素研究大多停留于定性分析或以行政地域口径数据代替实体地域口径数据开展定量化分析的阶段。突破社会经济数据在城市实体地域内的空间化,是真正实现实体地域尺度下影响因素定量化分析的首要前提。[方法]通过构建VANUI指数和综合门槛阈值设定,实现了对辽中南地区城市实体地域的范围确定。立足于"新东北现象"的时代背景,通过对2013-2017年和2018-2022年夜间灯光DN值和LandScan人口栅格数据两时段一元线性回归斜率的叠加,将城市实体地域划分为绝对增长型、消极增长型、精明收缩型和绝对收缩型4类,并进行了时空演化分析。通过CRITIC与熵值法组合赋权,利用夜间灯光和POI数据实现了经济发展水平、医疗服务水平、教育资源丰度、文化设施密度、环境宜居程度和对外交通便利程度等影响因素数据的空间化。最后,利用GTWR模型对辽中南地区城市人口增长与收缩的影响因素进行了定量化分析。[结果]①2013-2017年辽中南地区各城市内的收缩型区域在2018-2022年全部转变为增长型;②2018-2022年消极增长型占比超半数(55。80%);③医疗服务水平、教育资源丰度、文化设施密度和环境宜居程度在两时段对各城市的人口增长整体起正向作用,但第二时段正向作用普遍出现弱化;而对外交通便利程度和经济发展水平两时段均呈现负向作用。[结论]①辽中南地区的城市人口收缩已实现增长转变,现阶段更多表现为人口、社会、经济发展的不适配问题。②各城市人口、社会、经济的多维度收缩不普遍,且具有短期内实现增长转变的可能和明显的城市层级差异。③资源枯竭和产业转型伴随的社会、经济发展阵痛,致使与城市经济发展捆绑度较高的医疗、教育、文化设施配给和人居环境提升等对人口的正向吸附作用出现弱化。④各城市对外交通系统的发展现阶段存在助推人口流失的作用。
Spatiotemporal evolution and influencing factors of urban growth and shrinkage in Central and Southern Liaoning:Based on the perspective of physical urban area
[Objective]Due to the limited development of spatialization technology for socioeconomic data,previous research on the factors that affect urban shrinkage at the physical area scale of cities has mostly remained at the stage of qualitative analysis or quantitative analysis using administrative area data instead of physical area data.Breaking through the limit of spatialization of socioeconomic data within physical urban areas is the primary prerequisite for achieving quantitative analysis of influencing factors at the physical area scale.[Methods]By constructing the VANUI index and setting a comprehensive threshold,the scope of physical urban areas in Central and Southern Liaoning was determined.Based on the superposition of the slopes of univariate linear regression between the DN values of nighttime light and LandScan population grid data in the periods of 2013-2017 and 2018-2022,the physical urban areas were divided into four types:absolute growth type,negative growth type,smart shrinkage type,and absolute shrinkage type,and a spatiotemporal evolution analysis was conducted,based on the historical background of the"New Northeast Phenomenon".By combining CRITIC and entropy weight method for equal weighting,the spatialization of data on influencing factors such as economic development level,medical service level,educational resource abundance,cultural facility density,livability of the environment,and external transportation convenience was achieved using nighttime light data and point of interest(POI)data.Finally,the GTWR model was used to quantitatively analyze the influencing factors of urban population growth and shrinkage during the two periods of the region.[Results](1)The shrinking areas within cities from 2013 to 2017 in Central and Southern Liaoning were all transformed into growing areas from 2018 to 2022.(2)From 2018 to 2022,the proportion of negative growing areas within cities reached 55.80%.(3)The level of medical services,abundance of educational resources,density of cultural facilities,and livability of the environment all had a positive effect on the overall population growth in each city,but the positive effect was generally weakened in the second period.The overall negative effects of external transportation convenience and economic development level were observed during the two periods.[Conclusions](1)The urban population shrinkage of Central and Southern Liaoning has achieved a growing transformation,and at present,all cities are more characterized by the mismatch of population,social,and economic development.(2)The multidimensional shrinkage of population,society,and economy within all cities is not common.There is a possibility of achieving growing transformation in the short term,and there are significant differences by urban hierarchy.(3)The social and economic development pains accompanied by resource depletion and industrial transformation have weakened the positive attraction of medical,educational,and cultural facility provisions and improvement of the living environment,which are highly tied to economic development,on population.(4)The development of the external transportation system currently has played a role in promoting population loss in cities.

physical urban areaurban shrinkageGTWR modelspatialization of datanighttime light dataCentral and Southern Liaoning

梁源钊、魏冶、何静仪

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东北师范大学地理科学学院,长春 130024

城市实体地域 城市收缩 GTWR模型 数据空间化 夜间灯光数据 辽中南

国家自然科学基金面上项目

41971202

2024

资源科学
中国科学院地理科学与资源研究所 中国自然资源学会

资源科学

CSTPCDCSSCICHSSCD北大核心
影响因子:2.408
ISSN:1007-7588
年,卷(期):2024.46(6)