“人口—产业”匹配视角下大城市空间结构演化 特征与优化策略——以上海市为例

Evolution Characteristics and Optimization Strategies of Urban Spatial Structure in Megacities from the Perspective of Population-Industry Matching: A Case Study of Shanghai

林诗佳
同济大学建筑与城市规划学院 自然资源部国土空间智能规划技术重点实验室 博士研究生

钮心毅(通信作者)
同济大学建筑与城市规划学院 自然资源部国土空间智能规划技术重点实验室 教授,博士生导师

摘要: 多中心是大城市空间结构优化的重要思路,一般通过积极的人口布局优化政策、产业布局优化政策来实现。基于上海案 例,使用人口普查和经济普查数据,探索2010—2020年间在人口、产业布局优化政策导向下上海市常住人口和就业岗位 的空间分布变化,从数量匹配、类型匹配两个维度量化认识人口—产业匹配特征,并通过向心通勤变化揭示了人口—产 业匹配特征对市域空间结构优化的影响。研究发现,上海的人口布局优化政策、产业布局优化政策均取得一定成效,但 在全市层面出现一定程度的人口—产业数量失配和类型失配现象。这导致了要素流动视角下市域空间结构更趋于单中 心极化,与“多中心”发展目标相悖。最后提出大城市制定人口布局优化和产业布局优化政策时必须考虑两者协同,人 口—产业匹配有助于实现多中心空间结构。

Abstract: Polycentricity is an essential goal in optimizing the spatial structure of megacities, which is generally accomplished by active population and industrial layout optimization policies. Taking Shanghai as an example, this study explores changes in the spatial distribution of permanent population and employment in Shanghai between 2010 and 2020, under the guidance of population and industrial layout optimization policies. Population and economic census data are used to quantitatively identify the population- industry matching characteristics in two dimensions: quantity matching and type matching. Furthermore, the impact of population- industry matching attributes on optimizing the spatial structure is shown from the perspective of centripetal commuting changes. The analysis concludes that while Shanghai's population and industrial layout optimization policies have reached the target to some extent, the population-industry quantity mismatch and type mismatch can't be neglected. This has led to a more monocentric polarization of the urban spatial structure under the perspective of factor flow, contrary to the goal of polycentric development. The study suggests that the synergy between population and industrial layout must be considered when designing spatial optimization policies in megacities. Population-industry matching can help realize the polycentric spatial structure.

关键词:人口—产业匹配;城市空间结构;常住人口;就业岗位;上海

Keyword: population-industry matching; urban spatial structure; permanent population; employment; Shanghai

中图分类号:TU984

文献标识码: A

资金资助

国家 国家重点研发计划项目课题 2022YFC3800804

沈洁,张可云. 中国大城市病典型症状诱发因素的实证分析[J]. 地理科学进展,2020,39(1):1-12.
SHEN Jie, ZHANG Keyun. An empirical analysis of factors leading to typical urban problems in China[J]. Progress in Geography, 2020, 39(1): 1-12.
习近平. 国家中长期经济社会发展战略若干重大问题[J]. 求是,2020(21):4-10.
XI Jinping. Major issues concerning China's strategies for mid-to-long-term economic and social development[J]. Qiushi, 2020(21): 4-10.
陈秉钊. 反思大上海空间结构——试论大都会区的空间模式[J]. 上海城市规划,2011,96(1):9-15.
CHEN Bingzhao. Rethinking Shanghai spatial structure: discussion on spatial pattern of the metropolis area[J]. Shanghai Urban Planning Review, 2011, 96(1): 9-15.
HOYLER M, KLOOSTERMAN R C, SOKOL M.Polycentric puzzles – emerging megacity regions seen through the lens of advanced producer services[J]. Regional Studies, 2008, 42(8): 1055-1064.
赵渺希. 多中心城市就业——居住的非完全结构匹配模型[J]. 地理研究,2017,36(8):1531-1542.
ZHAO Miaoxi. Hypothesis of incomplete-structural matching job-housing in a polycentric city[J]. Geographical Research, 2017, 36(8): 1531-1542.
BOUSSAUW K, VAN MEETEREN M, SANSEN J, et al. Planning for agglomeration economies in a polycentric region: envisioning an efficient metropolitan core area in Flanders[J]. European Journal of Spatial Development, 2018, 69: 1-26.
徐毅松,廖志强,张尚武,等. 上海市城市空间格局优化的战略思考[J]. 城市规划学刊,2017(s1):20-30.
XU Yisong, LIAO Zhiqiang, ZHANG Shangwu, et al. Strategic thinking of Shanghai's urban spatial optimization[J]. Urban Planning Forum, 2017(s1):20-30.
BURGER M J, MEIJERS E. Form follows function? Linking morphological and functional polycentricity[J]. Urban Studies, 2012, 49(5):
1127-1149.
周峻帆,武前波. 上海人口城镇化发展新态势及其社会空间特征研究[J]. 现代城市研究,2021(8):24-30.
ZHOU Junfan, WU Qianbo. Research on the new trend of population urbanization in Shanghai and its social spatial characteristics[J]. Modern Urban Research, 2021(8): 24-30.
程鹏,唐子来. 上海中心城区的职住空间匹配及其演化特征研究[J]. 城市规划学刊,2017(3):62-69.
CHENG Peng, TANG Zilai. A study on the spatial match of jobs-housing balance and its change over time in the central city of Shanghai[J]. Urban Planning Forum, 2017(3): 62-69.
ZHANG T L, SUN B D, Li W, et al. Polycentricity or dispersal? The spatial transformation of metropolitan Shanghai[J]. Cities, 2019, 95: 102352.
孙斌栋,魏旭红. 上海都市区就业——人口空间结构演化特征[J]. 地理学报,2014,69(6):747-758.
SUN Bindong, WEI Xuhong. Spatial distribution and structure evolution of employment and population in Shanghai metropolitan area[J]. Acta Geographica Sinica, 2014, 69(6): 747-758.
张尚武,晏龙旭,王德,等. 上海大都市地区空间结构优化的政策路径探析——基于人口分布情景的分析方法[J]. 城市规划学刊,2015(6):12-19.
ZHANG Shangwu, YAN Longxu, WANG De, et al. Analysis on the policy path of spatial structure optimizing in the Shanghai metropolitan region—a scenario-based study on population distribution[J].Urban Planning Forum, 2015(6): 12-19.
王咏笑,敬东,袁樵. 上海市以功能布局优化带动空间布局优化的研究——从产业空间分布的视角[J]. 城市规划学刊,2015(3):94-100.
WANG Yongxiao, JING Dong, YUAN Qiao. Shanghai's spatial optimization through functional adjustment: from perspective of industrial distribution[J]. Urban Planning Forum, 2015(3):94-100.
郭帅新,林久人. 上海市城市空间功能结构研究综述[J]. 南都学坛,2018,38(6):113-124.
GUO Shuaixin, LIN Jiuren. A review of studies on the functional configuration of urban space in Shanghai[J]. Academic Forum of Nandu, 2018, 38(6): 113-124.
马玉荃. 面向居民的公共绿地服务水平评价方法——对1982年和2015年上海市内环内情况的比较[J]. 上海城市规划,2017(3):121-128.
MA Yuquan. An evaluation method of resident-oriented urban public green space services level: comparison of 1982 and 2015 in Shanghai inner-ring[J]. Shanghai Urban Planning Review, 2017(3): 121-128.
王兰,周楷宸. 健康公平视角下社区体育设施分布绩效评价——以上海市中心城区为例[J]. 西部人居环境学刊,2019,34(2):1-7.
WANG Lan, ZHOU Kaichen. Performance assessment of the distribution of community sports facility from the perspective of healthy equity: a case study of the central city of Shanghai[J].Journal of Human Settlements in West China, 2019, 34(2): 1-7.
SUN T S, LV Y Q. Employment centers and polycentric spatial development in Chinese cities:a multi-scale analysis[J]. Cities, 2020, 99: 102617.
HEIDER B, SIEDENTOP S. Employment suburbanization in the 21st century: a comparison of German and US city regions[J]. Cities, 2020,104: 102802.
SHEARMUR R. Are cities the font of innovation?A critical review of the literature on cities and innovation[J]. Cities, 2012, 29(s2): 9-18.
KREHL A, SIEDENTOP S. Towards a typology of urban centers and subcenters – evidence from German city regions[J]. Urban Geography, 2019, 40(1): 58-82.
钮心毅,林诗佳. 后工业化时代产业园区职住空间关系演变模式——基于大数据的实证研究[J].同济大学学报(社会科学版),2022,33(1):67-77.
NIU Xinyi, LIN Shijia. The evolution modes of job-housing spatial relationship in industrial parks in the post-industrial era: an empirical study based on big data[J]. Journal of Tongji University (Social Science Edition), 2022, 33(1): 67-77.
谢智敏,甄峰,张姗琪. 基于大数据的城市就业空间特征与影响因素研究——以南京市中心城区为例[J]. 城市发展研究,2021,28(10):48-57.
XIE Zhimin, ZHEN Feng, ZHANG Shanqi.Research on spatial characteristics and influencing factors of urban employment based on big data[J].Urban Development Studies, 2021, 28(10): 48-57.
陈小鸿,周翔. 基于浮动单元的职住平衡尺度分析方法[J]. 同济大学学报(自然科学版),2019,47(12):1727-1734.
CHEN Xiaohong, ZHOU Xiang. Analysis method of jobs-housing balance scale based on floating unit[J]. Journal of Tongji University (Natural Science), 2019, 47(12): 1727-1734.
SUN T S. A longitudinal study of changes in intra-metropolitan employment concentration in Beijing: decentralisation, reconcentration and polycentrification􀀾􀀭􀁀. Urban Studies, 2020, 57(4): 748-765.

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