老年人行为与养老服务

基于TERGM的城市群养老服务一体化网络生成机制研究

  • 张长淦 , 1 ,
  • 马远军 1 ,
  • 孙婧雯 , 1 ,
  • 方晨浩 2, 3
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  • 1.浙江师范大学地理与环境科学学院,金华 321000
  • 2.安徽大学与合肥综合性国家科学中心人工智能研究院联合实验室,合肥 230039
  • 3.合肥综合性国家科学中心人工智能研究院,合肥 230039
孙婧雯(1995-),女,山东禹城人,博士,讲师,主要研究方向为乡村地理与城乡发展。E-mail:

张长淦(2000-),男,江西吉安人,博士研究生,主要研究方向为人口地理。E-mail:

收稿日期: 2024-09-29

  录用日期: 2025-03-10

  网络出版日期: 2025-10-09

基金资助

国家自然科学基金项目(42401247)

教育部人文社会科学研究项目(24YJCZH262)

浙江省大学生科技创新活动计划(新苗人才计划)项目(2023R404061)

Research on the generation mechanism of integrated networks for elderly care services in urban agglomerations based on TERGM

  • ZHANG Changgan , 1 ,
  • MA Yuanjun 1 ,
  • SUN Jingwen , 1 ,
  • FANG Chenhao 2, 3
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  • 1. College of Geography and Environment Sciences, Zhejiang Normal University, Jinhua 321000, China
  • 2. AHU-IAI AI Joint Laboratory, Anhui University, Hefei 230039,China
  • 3. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230039, China

Received date: 2024-09-29

  Accepted date: 2025-03-10

  Online published: 2025-10-09

摘要

城市养老服务供给缺位加剧了老龄化危机,异地养老是推动区域养老服务一体化的关键手段和自发选择。当前对区域养老服务一体化的研究仍停留在政策层面,本文以中国长三角、京津冀、成渝三大城市群为研究区域,借助威尔逊引力模型与复杂网络分析方法,系统分析了2010至2020年间区域养老服务一体化的时空格局,并利用时序指数随机图模型探讨了其生成机制。结果表明:① 区域一体化进程推动养老流网络规模扩大与密度提升,长三角养老流网络存在趋于耦合的结构特征,具备高水平一体化发展态势,京津冀稍低,成渝发展相对滞后但增长迅速。② 三大城市群网络趋异演化,长三角多核杂化扩张,京津冀首位聚敛,成渝由双核转向轴辐结构,共同表现出规模效应强化和空间阻尼弱化的连接趋势。③ 养老流生成受多重因素驱动,经济成本决定养老资源的优化配置,个人需求及心理偏好是养老网络生成的直接驱动力,文化认同和互惠节律是网络发展的关键因素。研究表明,区域一体化背景下异地养老模式能够推动城市群养老资源共享和产业协同,有效调控跨城市养老服务的供给能力与效率,为构建全国养老服务“一盘棋”奠定区域基础。

本文引用格式

张长淦 , 马远军 , 孙婧雯 , 方晨浩 . 基于TERGM的城市群养老服务一体化网络生成机制研究[J]. 地理研究, 2025 , 44(10) : 2841 -2861 . DOI: 10.11821/dlyj020241059

Abstract

The escalating aging crisis has underscored deficiencies in urban elder care services. Off-site elder care has emerged as a pivotal solution and a natural choice for enhancing the integration of regional elder care services. This study examines the integration of such services within three major urban agglomerations in China-the Yangtze River Delta (YRD), Beijing-Tianjin-Hebei (BTH), and Chengdu-Chongqing (CCH)-employing the Wilson Gravity Model and complex network analysis methods to systematically analyze the spatial and temporal dynamics of regional integration from 2010 to 2020. Additionally, it utilizes the Temporal Exponential Random Graph Model to investigate underlying influence mechanisms. The findings reveal that: (1) Regional integration processes have expanded the scale and density of off-site elder care networks, with the YRD exhibiting coupling characteristics indicative of advanced integration levels, followed by BTH, while CCH, though rapidly developing, remains relatively behind. (2) The networks within these city clusters are evolving distinctively; the YRD expands through multiple core, BTH consolidates primarily in core areas, and CCH transitions from a dual-core to an axial-spoke configuration. This evolution signifies an intensification of the scale effect and a reduction in spatial attenuation. (3) The generation of off-site elder care flows is influenced by multiple factors, where locally adapted psychological preferences and intersecting economic variables serve as central mechanisms in off-site elder care network formation, with cultural assimilation and reciprocal rhythms playing crucial roles in network evolution. The study concludes that regional off-site elder care integration policies have significantly enhanced resource sharing and industrial collaboration across urban agglomerations, thereby improving the supply and efficiency of cross-city elder care and contributing significantly to the national strategy for elder care.

致谢:诚挚感谢两位匿名审稿专家富有见地的细致审查,审稿专家对本文理论逻辑梳理、实证方法运用及机制解析等方面的修改意见和建议,使本文获益匪浅。

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