国土空间规划实施监测网络(CSPON)建设要求加强流动空间的监测分析,以精准识别空间形态、空间关系的演变趋势。基于创新要素的流动特征,对粤港澳大湾区城市群创新发展规划展开研究,研究结果显示,大湾区“两廊两点”的创新发展目标基本达成,而广州、珠海、澳门三地并未按照规划预期形成紧密的创新联系,澳门与香港、深圳之间的创新合作则显著增强,形成“广州—深圳—香港—澳门—东莞”科创组团。对创新网络的时空演化特征进行分析,结果显示,创新要素的自由流动与政府部门的规划调控分别解释了大湾区创新网络68.9%与21.2%的演化特征,这表明创新要素的自由流动具有重要作用,而规划政策的实施仅能在一定程度上影响城市群的创新发展,且其影响存在滞后效应,其效果随时间推移而增强。
The construction of the China Spatial Planning Observation Network (CSPON) requires enhanced monitoring of flow spaces to accurately identify the evolution trends of territorial spatial patterns and spatial relationships. To this end, this study takes the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) as an example to explore evaluation methods for urban agglomeration innovation development planning from the perspective of flow spaces. Based on the structure of the innovation network, we found that the innovative planning objectives have been basically achieved. However, the anticipated close innovation linkage between Guangzhou, Zhuhai, and Macao did not materialize as expected. Instead, innovation cooperation between Macao, Hong Kong, and Shenzhen has significantly strengthened, collectively forming the “Guangzhou-Shenzhen-Hong Kong-Macao-Dongguan” innovation cluster. Through Singular Value Decomposition (SVD) analysis of the spatiotemporal evolution process of the innovation flow network in the GBA from 2016 to 2019, we found that market regulation and planning intervention respectively explained 68.9% and 21.2% of the evolutionary characteristics of the innovation flow network. The analysis results indicate that planning implementation can only partially influence regional innovation development but plays an important role in achieving regional coordination. Additionally, we observed that the influence of planning on the innovation network strengthens over time.
[1] Fang C, Yu D. Urban agglomeration: An evolving concept of an emerging phenomenon[J]. Landscape and Urban Planning, 2017 (162): 126-136
[2] Gottmann J .Megalopolis : The Urbanized Northeastern Seaboard of the United States[M].Twentieth Century Fund,1961
[3] Gottman J .Megalopolitan systems around the world[J].Systems of Cities Readings on Structure Growth & Policy, 1976(38): 103-111
[4] 方创琳.中国城市群研究取得的重要进展与未来发展方向[J].地理学报,2014(8):1130-1144
[5] 周国艳.西方城市规划有效性评价的理论范式及其演进[J].城市规划,2012(11):58-66
[6] Alexander E R. Evaluation in Planning: Evolution and Prospects[M]. Routledge, 2016
[7] 曹春华,卢涛,李鹏,等.国土空间规划监测评估预警:内涵、任务与技术框架[J].城市规划学刊,2022(6):88-94
[8] 侯静轩,潘海霞,罗杰.国土空间规划实施监测网络建设的内涵解析及展望[J].规划师,2024(3):1-6
[9] 罗亚,吴洪涛,张耘逸,等.数字化治理下国土空间规划实施监测网络建设路径[J].规划师,2024(3):7-13
[10] Sanders G D, Neumann P J, Basu A, et al. Recommendations for conduct, methodological practices, and reporting of cost-effectiveness analyses: Second panel on cost-effectiveness in health and medicine[J]. JAMA-The Journal of the American Medical Association, 2016(10): 1093-1103
[11] Hill M. A Method for Evaluating Alternative Plans: The Goals-Achievement Matrix Applied to Transportation Plans[M]. University of Pennsylvania, 1966
[12] Guba E G, Lincoln Y S. Fourth Generation Evaluation[M]. Sage, 1989
[13] Lichfield N. Community Impact Evaluation: Principles and Practice[M]. Routledge, 2005
[14] 方创琳.中国城市群形成发育的政策影响过程与实施效果评价[J].地理科学, 2012(3):257-264
[15] 方创琳,关兴良.中国城市群投入产出效率的综合测度与空间分异[J].地理学报,2011(8):1011-1022
[16] Ren Y, Fang C, Lin X, et al. Evaluation of the eco-efficiency of four major urban agglomerations in coastal eastern China[J]. Journal of Geographical Sciences, 2019(29): 1315-1330
[17] 卢彦瑾,倪青山,吴敌.中国14大城市群创新效率演进及其影响因素[J].经济地理,2024(1):57-65
[18] 马海涛,徐楦钫.黄河流域城市群高质量发展评估与空间格局分异[J].经济地理,2020(4):11-18
[19] 叶超,于洁,张清源,等.从治理到城乡治理:国际前沿、发展态势与中国路径[J].地理科学进展,2021(1):15-27
[20] 胡航军,张京祥.创新要素的跨域重组:机制、困境与路径创新[J].城市规划学刊,2024(1):74-81
[21] 张京祥,李薇,张峰瑞.新时代中国区域协同治理解析与关键议题探讨[J].城市规划, 2024(2):4-11
[22] 吴冠秋,党安荣,马琦伟.基于流数据的珠三角城市群协同发展研究[J].城市问题, 2024(3):34-45
[23] 张贵,孙建华.京津冀协同创新共同体的生成机理、评价及对策——基于生态视角的区域创新新解释[J].城市问题,2024(2):18-27
[24] Bathelt H , Malmberg A , Maskell P .Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation[J].Progress in Human Geography, 2004(28):31-56
[25] Forester J. Planning in the face of conflict: Negotiation and mediation strategies in local land use regulation[J]. Journal of the American Planning Association, 1987(3):303-314
[26] Pearman A D. Uncertainty in planning: Characterisation, evaluation, and feedback[J]. Environment & Planning B Planning & Design, 1985(3):313-320
[27] 周珂慧,姜劲松.西方城市规划评估的研究述评[J].城市规划学刊,2013(1):104-109
[28] Habermas J, Carthy T M . The Theory of Communicative Action[M]. Boston :Beacon Press, 1984
[29] 汪军,陈曦.西方规划评估机制的概述——基本概念、内容、方法演变以及对中国的启示[J].国际城市规划,2011(6):78-83
[30] Alexander E R. Rationality revisited: Planning paradigms in a post-postmodernist perspective[J]. Journal of Planning Education and Research, 2000(3): 242-256
[31] Lichfield N. Community impact assessment and planning: The role of objectives in evaluation design[J]. Recent Developments in Evaluation, 2001: 75-84
[32] 袁也.总体规划实施评价方法的主要问题及其思考[J].城市规划学刊,2014(2):60-66
[33] 包存宽,林健枝,陈永勤,等.可持续性导向的规划环境影响评价技术标准体系研究——基于“规划环境影响评价技术导则”实施有效性的分析[J].城市规划学刊,2013(2):23-31
[34] 甄峰,秦萧.大数据在智慧城市研究与规划中的应用[J].国际城市规划,2014(6):44-50
[35] 秦萧,甄峰.大数据时代智慧城市空间规划方法探讨[J].现代城市研究,2014(10):18-24
[36] 黄河,范一大,杨思全,等.基于多智能体的洪涝风险动态评估理论模型[J].地理研究,2015(10):1875-1886
[37] 龙瀛,毛其智,沈振江,等.综合约束CA城市模型:规划控制约束及城市增长模拟[J].城市规划学刊,2008(6):83-91
[38] 刘毅,任亚文,马丽,等.粤港澳大湾区创新发展的进展、问题与战略思考[J].地理科学进展,2022(9):1555-1565
[39] 马海涛.知识流动空间的城市关系建构与创新网络模拟[J].地理学报,2020(4):708-721
[40] 马海涛,黄晓东,李迎成.粤港澳大湾区城市群知识多中心的演化过程与机理[J].地理学报,2018(12):2297-2314
[41] Andersson D E , Gunessee S , Matthiessen C W ,et al.The geography of Chinese science[J].Environment & Planning A,2016(12):2950-2971
[42] 曹湛,李卓欣,戴靓,等.大变局下上海建设全球科技创新中心再审视:基于“知识合作”与“知识组合”的双重视角[J].城市规划学刊,2023(6):4-49
[43] Dong J, Li C. Structure characteristics and influencing factors of China’s carbon emission spatial correlation network: A study based on the dimension of urban agglomerations[J]. Science of the Total Environment, 2022(853): 158613
[44] Liu P, Qin Y, Luo Y, et al. Structure of low-carbon economy spatial correlation network in urban agglomeration[J]. Journal of Cleaner Production, 2023(394): 136359
[45] 毕鹏翔,唐子来,李紫玥.创新一体化进程中的长三角城市网络演化——基于技术转移的视角[J].城市规划学刊,2022(1):35-43
[46] Kalman D. A singularly valuable decomposition: The SVD of a matrix[J]. The College Mathematics Journal, 1996(1): 2-23
[47] Andrews H, Patterson C. Singular value decomposition (SVD) image coding[J]. IEEE Transactions on Communications, 1976(4): 425-432
[48] Derudder B, Meijers E, Harrison J, et al. Polycentric urban regions: Conceptualization, identification and implications[J]. Regional Studies, 2022(1): 1-6
[49] Li Y, Phelps N. Megalopolis unbound: Knowledge collaboration and functional polycentricity within and beyond the Yangtze River Delta Region in China, 2014[J]. Urban Studies, 2018(2): 443-460
[50] 周春山,罗利佳,史晨怡,等.粤港澳大湾区经济发展时空演变特征及其影响因素[J].热带地理,2017(6):802-813
[51] 张衔春,陈梓烽,许顺才,等.跨界公共合作视角下珠三角一体化战略实施评估及启示[J].城市发展研究,2017(8):100-107
