人口资源高质量发展与中国式现代化

长三角社会空间分异特征与人口资源均衡发展建议

  • 宋伟轩 , 1 ,
  • 谢子涵 2 ,
  • 袁海雯 3, 4 ,
  • 汪徽 , 5 ,
  • 于凯 6
展开
  • 1.河海大学地理与遥感学院, 流域水土过程省高校重点实验室, 南京 211100
  • 2.中国人民大学公共管理学院, 北京 100872
  • 3.中国科学院南京地理与湖泊研究所, 南京 211135
  • 4.中国科学院大学, 北京 100049
  • 5.南京林业大学风景园林学院, 南京 210037
  • 6.中国城市规划设计研究院, 北京 100044
汪徽(1986- ),女,安徽黄山人,博士,讲师,研究方向为城市社会空间与低收入群体。E-mail:

宋伟轩(1981- ),男,吉林敦化人,博士,教授,研究方向为城市社会地理。E-mail:

收稿日期: 2025-06-23

  修回日期: 2025-09-10

  网络出版日期: 2025-12-11

基金资助

国家自然科学基金项目(42571288)

国家自然科学基金项目(42171234)

国家自然科学基金项目(52308065)

Socio-spatial differentiation in the Yangtze River Delta and suggestions for balanced development of population resources

  • SONG Wei-xuan , 1 ,
  • XIE Zi-han 2 ,
  • YUAN Hai-wen 3, 4 ,
  • WANG Hui , 5 ,
  • YU Kai 6
Expand
  • 1. College of Geography and Remote Sensing, Key Laboratory of Soil and Water Processes in Watershed, Hohai University, Nanjing 211100, China
  • 2. School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
  • 3. Nanjing Institute of Geography and Limnology, CAS, Nanjing 211135, China
  • 4. University of Chinese Academy of Sciences, Beijing 100049, China
  • 5. College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
  • 6. China Academy of Urban Planning and Design, Beijing 100044, China

Received date: 2025-06-23

  Revised date: 2025-09-10

  Online published: 2025-12-11

摘要

社会空间分异是指不同属性社会群体在空间上的分布差异现象,当前以研究城市内部居住空间分异最为普遍,而鲜见针对区域特别是一体化区域的社会空间研究。以长三角一体化区域为研究对象,基于百度慧眼大数据平台提供的多维度、高精度人口属性数据,通过对该区域社会空间分异结构、特征与机制的分析发现:(1)根据空间区位、居民年龄、教育层次、收入水平和消费能力等关键指标,可将长三角社会空间划分为五种类型区。(2)不同类型社会区构成长三角多重嵌套的“核心—边缘”结构,地区间、省域间、城市间、城乡间和城市内部均存在显著的社会空间分异。(3)长三角一体化区域内部的人口资源非均衡分布,是政策导向、市场机制和社会力量共同推动的结果。(4)在地域经济发展水平差距等“内生”因素与不同技能人口向不同类型地区流动等“外生”因素的混合叠加作用下,长三角一体化地区内部群体分化与空间差异存在加剧的可能。为推动区域人口资源均衡发展,需要探索实施跨区域资源统筹与公平配置、促进优质公共服务和居民生活品质均等化等措施,以实现长三角社会空间一体化高质量发展。

本文引用格式

宋伟轩 , 谢子涵 , 袁海雯 , 汪徽 , 于凯 . 长三角社会空间分异特征与人口资源均衡发展建议[J]. 自然资源学报, 2026 , 41(1) : 34 -51 . DOI: 10.31497/zrzyxb.20260103

Abstract

Socio-spatial differentiation refers to the spatial distribution disparities among social groups with different attributes. Current research mainly focuses on intra-urban residential differentiation and rarely studies the social space at the regional scale, especially in integrated areas. Taking the Yangtze River Delta (YRD) integrated region as the study area and utilizing multi-dimensional, high-precision population attribute data from the Baidu Huiyan big data platform, this study analyzes the structure, characteristics, and mechanisms of socio-spatial differentiation within the region. The findings reveal that: (1) Based on key indicators such as spatial location, resident age, education level, income, and consumption capacity, the YRD can be divided into five distinct social areas. (2) These different social areas form a multi-nested "core-periphery" structure within the YRD, with significant socio-spatial differentiation observed across regions, between provinces, among cities, between urban and rural areas, and within cities. (3) The integration process has failed to promote a balanced distribution of social groups within the region; the socio-spatial differentiation in the YRD is the result of the combined effects of policy orientation, market mechanisms, and social forces. (4) Under the combined effects of endogenous factors, such as disparities in regional economic development levels, and exogenous factors, such as the migration of populations with different skill sets to different types of areas, there is a potential for intensified group differentiation and spatial disparities within the integrated YRD. To promote the balanced development of regional population and resources, it is necessary to explore some measures to achieve cross-regional resource integration and fair allocation, promote the equalization of high-quality public services and residents' living standards, and ultimately reach the goal of high-quality development of social space integration in the YRD.

[1]
BURGESS E W. The Growth of the City:An Introduction to a Research Project. Urban Ecology. Boston, MA: Springer US, 2008: 71-78.

[2]
虞蔚. 城市社会空间的研究与规划. 城市规划, 1986, 10(6): 25-28.

[YU W. Research and planning of urban social space. City Planning Review, 1986, 10(6): 25-28.]

[3]
许学强, 胡华颖, 叶嘉安. 广州市社会空间结构的因子生态分析. 地理学报, 1989, 44(4): 385-399.

DOI

[XU X Q, HU H Y, YE J A. A factorial ecological study of social spatialstructure in Guangzhou. Acta Geographica Sinica, 1989, 44(4): 385-399.]

DOI

[4]
顾朝林, 王法辉, 刘贵利. 北京城市社会区分析. 地理学报, 2003, 58(6): 917-926.

[GU C L, WANG F H, LIU G L. Study on urban social areas in Beijing. Acta Geographica Sinica, 2003, 58(6): 917-926.]

DOI

[5]
冯健, 周一星. 转型期北京社会空间分异重构. 地理学报, 2008, 63(8): 829-844.

[FENG J, ZHOU Y X. Restructuring of socio-spatial differentiation in Beijing in the transition period. Acta Geographica Sinica, 2008, 63(8): 829-844.]

[6]
吴启焰, 任东明. 改革开放以来我国城市地域结构演变与持续发展研究: 以南京都市区为例. 地理科学, 1999, 19(2): 108-113.

[WU Q Y, REN D M. The transformation of metropolitan area structure and sustainable development since reform: A case study of metropolitan Nanjing. Scientia Geographica Sinica, 1999, 19(2): 108-113.]

[7]
郑静, 许学强, 陈浩光. 广州市社会空间的因子生态再分析. 地理研究, 1995, 14(2): 15-26.

DOI

[ZHENG J, XU X Q, CHEN H G. An ecological reanalysis on the factors related to social spatial structure in Guangzhou city. Geographical Research, 1995, 14(2): 15-26.]

[8]
柴彦威. 以单位为基础的中国城市内部生活空间结构: 兰州市的实证研究. 地理研究, 1996, 15(1): 30-38.

DOI

[CHAI Y W. The structure of China urban internal living space based on units: An empirical study of Lanzhou city. Geographical Research, 1996, 15(1): 30-38.]

[9]
WU J Y, HE Q S, CHEN Y W, et al. Dismantling the fence for social justice? Evidence based on the inequity of urban green space accessibility in the central urban area of Beijing. Environment and Planning B: Urban Analytics and City Science, 2020, 47(4): 626-644.

DOI

[10]
GU H H, LOGAN J R, WU R J. Remaking Shanghai: New divisions in an expanding metropolis. International Journal of Urban and Regional Research, 2021, 45(1): 80-98.

DOI

[11]
ZENG D L, WU X G, ZHANG Z N. Residential and industrial enclaves and labor market outcomes among migrant workers in Shenzhen, China. Journal of Ethnic and Migration Studies, 2022, 48(3): 750-772.

DOI

[12]
宋伟轩, 徐旳, 王捷凯, 等. 基于手机画像数据的南京内城日夜间社会空间分异. 地理学报, 2024, 79(2): 421-438.

DOI

[SONG W X, XU D, WANG J K, et al. Differentiation pattern and cross-scale comparison of daytime and nighttime social space in Nanjing inner city. Acta Geographica Sinica, 2024, 79(2): 421-438.]

DOI

[13]
冯健, 张琦楠. 城市社会空间结构及分异: 基于武汉的实证研究. 城市发展研究, 2021, 28(9): 66-78, 86, 49.

[FENG J, ZHANG Q N. Urban socio-spatial structure and differentiation: A case study of Wuhan. Urban Development Studies, 2021, 28(9): 66-78, 86, 49.]

[14]
张薇, 杨永春, 史坤博, 等. 居住空间视角下多民族聚居城市民族融合格局演变及影响因素分析: 以呼和浩特为例. 地理研究, 2018, 37(2): 333-352.

DOI

[ZHANG W, YANG Y C, SHI K B, et al. The evolution of ethnic integration patterns and their influencing factors in multi-ethnic cities from the perspective of residential space: A case study from Hohhot. Geographical Research, 2018, 37(2): 333-352.]

[15]
MUSTERD S, MARCIŃCZAK S, HAM M V, et al. Socioeconomic segregation in European capital cities: Increasing separation between poor and rich. Urban Geography, 2017, 38(7): 1062-1083.

DOI

[16]
吴蓉, 潘卓林, 刘晔, 等. 深圳市新移民社会空间分异. 热带地理, 2019, 39(5): 721-731.

DOI

[WU R, PAN Z L, LIU Y, et al. Socio-spatial segregation of new migrants in Shenzhen, China. Tropical Geography, 2019, 39(5): 721-731.]

[17]
TAMMARU T, MARCIN´CZAK S, AUNAP R, et al. Relationship between income inequality and residential segregation of socioeconomic groups. Regional Studies, 2020, 54(4): 450-461.

DOI

[18]
谭一洺. 民族视角下社会空间分异研究的时空间行为转向. 人文地理, 2022, 37(6): 56-63, 128.

[TAN Y M. Space-time behavioral turn of ethnic socio-spatial segregation studies. Human Geography, 2022, 37(6): 56-63, 128.]

[19]
HANSLMAIER M, TELTEMANN J, WINDZIO M. Spatial segregation of families with migrant background in the high-status city of Munich: How strong is the effect of socio-economic status?. Frontiers in Sociology, 2023, 8: 1061975, Doi: 10.3389/fsoc.2023.1061975.

[20]
冯滢, 陈梓烽. 广州市港澳迁移居民日常活动的时空间分异研究. 地理研究, 2024, 43(9): 2354-2369.

DOI

[FENG Y, CHEN Z F. Spatial and temporal differentiation of daily activities of Hong Kong and Macao migrants in Guangzhou. Geographical Research, 2024, 43(9): 2354-2369.]

[21]
NIEUWENHUIS J, TAMMARU T, VAN HAM M, et al. Does segregation reduce socio-spatial mobility? Evidence from four European countries with different inequality and segregation contexts. Urban Studies, 2020, 57(1): 176-197.

DOI

[22]
HAMNETT C. The changing social structure of global cities: Professionalisation, proletarianisation or polarisation. Urban Studies, 2021, 58(5): 1050-1066.

DOI

[23]
宋伟轩, 黄琴诗, 谷跃, 等. 宁杭城市多时空尺度居住空间分异与比较. 地理学报, 2021, 76(10): 2458-2476.

DOI

[SONG W X, HUANG Q S, GU Y, et al. A comparison study on residential differentiation at multiple spatial and temporal scales in Nanjing and Hangzhou. Acta Geographica Sinica, 2021, 76(10): 2458-2476.]

DOI

[24]
LYU Y Q, ZHOU L, YAO G B, et al. Detecting the true urban polycentric pattern of Chinese cities in morphological dimensions: A multiscale analysis based on geospatial big data. Cities, 2021, 116: 103298, Doi: 10.1016/j.cities.2021.103298.

[25]
陈梓烽. 基于时空行为大数据的城市社会空间分异研究. 人文地理, 2022, 37(6): 72-80.

[CHEN Z F. Analyzing urban socio-spatial segregation through space-time behavioral big data. Human Geography, 2022, 37(6): 72-80.]

[26]
KOLKOWSKI L, CATS O, DIXIT M, et al. Measuring activity-based social segregation using public transport smart card data. Journal of Transport Geography, 2023, 110: 103642, Doi: 10.1016/j.jtrangeo.2023.103642.

[27]
CAO K X, HARRIS R, LIU S H, et al. How does urban renewal affect residential segregation in Shenzhen, China? A multi-scale study. Sustainable Cities and Society, 2024, 102: 105228, Doi: 10.1016/j.scs.2024.105228.

[28]
YANG X D, LI H L, ZHANG J Y, et al. Urban economic resilience within the Yangtze River Delta Urban Agglomeration: Exploring spatially correlated network and spatial heterogeneity. Sustainable Cities and Society, 2024, 103: 105270, Doi: 10.1016/j.scs.2024.105270.

[29]
王雪微, 赵梓渝, 曹卫东, 等. 长三角城市群网络特征与省际边界效应: 基于人口流动视角. 地理研究, 2021, 40(6): 1621-1636.

DOI

[WANG X W, ZHAO Z Y, CAO W D, et al. Study of network characteristics and inter-provincial boundary effect of the Yangtze River Delta Urban Agglomeration: From the perspective of population flow. Geographical Research, 2021, 40(6): 1621-1636.]

[30]
LIAO B, LI L, TIAN C H. How does the pilot policies of new urbanization improve uneven development?. Economic Analysis and Policy, 2024, 82: 86-103.

DOI

[31]
崔璨, 于程媛, 王强. 人才流动的空间特征、驱动因素及其对长三角一体化高质量发展的启示: 基于高校毕业生的分析. 自然资源学报, 2022, 37(6): 1440-1454.

DOI

[CUI C, YU C Y, WANG Q. Spatial patterns and underlying forces of talent migration and their implications on integrated high-quality development of the Yangtze River Delta: An analysis of university graduates. Journal of Natural Resources, 2022, 37(6): 1440-1454.]

DOI

[32]
林赛南, 彭馨雨, 冯馨, 等. 中国城市人口再流动的网络特征及影响因素. 现代城市研究, 2025, 40(3): 97-104.

[LIN S N, PENG X Y, FENG X, et al. Network features and mechanisms of onward migration in urban China. Modern Urban Research, 2025, 40(3): 97-104.]

[33]
朱佩娟, 邹志坚, 林明杰, 等. 中国区域机会空间分异及其对人口迁移的影响. 自然资源学报, 2025, 40(7): 1795-1815.

DOI

[ZHU P J, ZOU Z J, LIN M J, et al. Spatial differentiation of regional opportunities in China and its impact on population migration. Journal of Natural Resources, 2025, 40(7): 1795-1815.]

DOI

[34]
范擎宇, 杨山, 刘帅宾. 基于区域一体化的长三角地区城市竞合空间演化研究. 自然资源学报, 2024, 39(4): 929-941.

DOI

[FAN Q Y, YANG S, LIU S B. Spatial evolution of urban co-opetition in Yangtze River Delta region based on regional integration. Journal of Natural Resources, 2024, 39(4): 929-941.]

DOI

[35]
宋伟轩, 谭华云, 叶玲, 等. 南京绅士化乡村的类型辨识与特征刻画. 地理学报, 2025, 80(3): 811-827.

DOI

[SONG W X, TAN H Y, YE L, et al. Identification and characterization of rural gentrification in Nanjing. Acta Geographica Sinica, 2025, 80(3): 811-827.]

DOI

[36]
MU X Y, ZHANG X H, YEH A G, et al. Evaluating the representativeness of mobile big data: A comparative analysis between China's mobile big data and census data at the county level. Applied Geography, 2024, 166: 103260, Doi: 10.1016/j.apgeog.2024.103260.

[37]
LYU Y Q, LAN Z M, KAN C C, et al. Polycentric urban development and its determinants in China: A geospatial big data perspective. Geographical Analysis, 2021, 53(3): 520-542.

DOI

[38]
ZHANG Y J, WANG J J, KAN C C. Temporal variation in activity-space-based segregation: A case study of Beijing using location-based service data. Journal of Transport Geography, 2022, 98: 103239, Doi: 10.1016/j.jtrangeo.2021.103239.

[39]
SHEN Y, LUO X Y. Linking spatial and temporal contexts to multi-contextual segregation by hukou status in urban China. Journal of Transport Geography, 2023, 107: 103540, Doi: 10.1016/j.jtrangeo.2023.103540.

[40]
徐维祥, 张筱娟, 刘程军. 长三角制造业企业空间分布特征及其影响机制研究: 尺度效应与动态演进. 地理研究, 2019, 38(5): 1236-1252.

DOI

[XU W X, ZHANG X J, LIU C J. Spatial distribution pattern and influencing factors of manufacturing enterprises in Yangtze River Delta: Scale effects and dynamic evolution. Geographical Research, 2019, 38(5): 1236-1252.]

[41]
宋伟轩, 陈艳如, 孙洁, 等. 长三角一体化区域城市房价空间分异的模式与效应. 地理学报, 2020, 75(10): 2109-2125.

DOI

[SONG W X, CHEN Y R, SUN J, et al. Spatial differentiation of urban housing prices in integrated region of Yangtze River Delta. Acta Geographica Sinica, 2020, 75(10): 2109-2125.]

DOI

[42]
陈艳如, 谷跃, 宋伟轩, 等. 长三角流动人口居留意愿差异及其影响因素. 经济地理, 2022, 42(9): 59-67.

DOI

[CHEN Y R, GU Y, SONG W X, et al. Spatio-temporal differences and influencing factors of floating population’s settlement intention in the Yangtze River Delta. Economic Geography, 2022, 42(9): 59-67.]

[43]
WANG H, YE L, FANG N, et al. Spatial equity of the 15-minute community life circle: Public service accessibility and socioeconomic status in Nanjing. Applied Spatial Analysis and Policy, 2025, 18(146): 1-24.

DOI

[44]
ZHANG L, ZHU L F, SHI D Y, et al. Urban residential space differentiation and the influence of accessibility in Hangzhou, China. Habitat International, 2022, 124: 102556, Doi: 10.1016/j.habitatint.2022.102556.

[45]
LI Y C, PHELPS N. Megalopolis unbound: Knowledge collaboration and functional polycentricity within and beyond the Yangtze River Delta Region in China, 2014. Urban Studies, 2018, 55(2): 443-460.

DOI

[46]
范擎宇, 杨山. 协调视角下长三角城市群的空间结构演变与优化. 自然资源学报, 2019, 34(8): 1581-1592.

DOI

[FAN Q Y, YANG S. Evolution and optimization of spatial structure of the Yangtze River Delta Urban Agglomeration from the perspective of coordination. Journal of Natural Resources, 2019, 34(8): 1581-1592.]

DOI

[47]
罗震东, 朱查松, 薛雯雯. 基于高铁客流的长江三角洲空间结构再审视. 上海城市规划, 2015, (4): 74-80.

[LUO Z D, ZHU C /ZS, XUE W W. The analysis on spatial structure of Yangtze River Delta based on passenger flow of high-speed railway. Shanghai Urban Planning Review, 2015, (4): 74-80.]

[48]
陈雯, 孙伟, 袁丰. 长江三角洲区域一体化空间:合作、 分工与差异. 北京: 商务印书馆, 2018.

[CHEN W, SUN W, YUAN F. The Yangtze River Delta Regional Integration Space:Cooperation, Division of Labor and Difference. Beijing: The Commercial Press, 2018.]

[49]
周恺. 长江三角洲高速公路网通达性与城镇空间结构发展. 地理科学进展, 2010, 29(2): 241-248.

[ZHOU K. Expressway network accessibility analysis and structured change of urban system in Yangtze Delta megalopolis. Progress in Geography, 2010, 29(2): 241-248.]

DOI

[50]
方大春, 孙明月. 高铁时代下长三角城市群空间结构重构: 基于社会网络分析. 经济地理, 2015, 35(10): 50-56.

[FANG D C, SUN M Y. The reconstruction of the spatial structure of the Yangtze River Delta City Group in the high-speed rail era: Based on the social network analysis. Economic Geography, 2015, 35(10): 50-56.]

[51]
LI Z K, HE S J, SU S L, et al. Public services equalization in urbanizing China: Indicators, spatiotemporal dynamics and implications on regional economic disparities. Social Indicators Research, 2020, 152(1): 1-65.

DOI

[52]
刘耀彬, 刘娇, 李硕硕, 等. 中国三大城市群产业网络空间演化特征及其环境效应分析. 长江流域资源与环境, 2024, 33(8): 1637-1649.

[LIU Y B, LIU J, LI S S, et al. Spatial evolution characteristics and environmental effects of industrial networks among three major urban agglomerations in China. Resources and Environment in the Yangtze Basin, 2024, 33(8): 1637-1649.]

[53]
黄金川, 刘艺琳. 长三角地区科技型中小企业发展的时空格局及其影响因素. 经济地理, 2024, 44(9): 111-122.

DOI

[HUANG J C, LIU Y L. Spatio-temporal pattern and influencing factors of technology-based small and medium-sized technology-based enterprises in the Yangtze River Delta. Economic Geography, 2024, 44(9): 111-122.]

DOI

[54]
刘乃全, 胡羽琦. 区域一体化可以缩小城市间收入差距吗? 来自长三角地区的经验证据. 浙江社会科学, 2022, (10): 12-24, 155.

[LIU N Q, HU Y Q. Can regional integration reduce the income disparity between cities? Evidence from Yangtze River Delta Region. Zhejiang Social Sciences, 2022, (10): 12-24, 155.]

[55]
HUANG K, ZENG X, WANG H, et al. Industrial agglomeration of high technology in Yangtze River Delta city cluster based on knowledge spillover spatial effect study. American Journal of Industrial and Business Management, 2022, 12(5): 1012-1028.

DOI

文章导航

/