绿地与城市功能空间的时空关联特征——以南京为例
Spatiotemporal Correlation Between Green Space and Urban Functional Space:A Case Study of Nanjing
邵大伟
苏州科技大学建筑与城市规划学院副教授，硕士生导师
伍 萱
苏州科技大学建筑与城市规划学院硕士研究生
吴殿鸣
苏州科技大学建筑与城市规划学院副教授，硕士生导师
摘要: 绿地与城市功能空间具有交互促进或抑制的作用关系，该作用的空间形式及强度演化规律仍有待揭示。在15分钟生活圈和斑块尺度，借助规划与土地部门的土地利用数据，利用经验贝叶斯验证的空间自相关和MPI、MNN指数，对南京主城区2004、2012、2017年绿地与城市功能空间的空间关联水平进行探究。结果表明：①绿地与各功能空间的数量分布具有一定相斥性，强弱分化逐步加剧。②在15分钟生活圈尺度，绿地与水域、交通、居住的整体空间相关性最强，与水域、交通的关联性持续较强，与居住则具有一定滞后性。绿地与各功能空间形成绿地核心区、城市核心区和一般发展区。③在斑块尺度，绿地与交通、居住、水域、商服的空间聚集性突出，与交通的关联性持续加深加强，其余则有先减弱后增强的趋势。成果可深化绿地与城市空间交互作用理论，为绿地与城市功能空间的高效协同发展、宜居美好生活环境的营造提供科学依据。
Abstract: Green space and urban functional space have an interactive promotion or inhibition relationship. The spatial form and intensity evolution of this effect remains to be revealed. Based on the land use data, the spatial correlation between green space and urban functional space in Nanjing's main urban area in 2004, 2012 and 2017 was explored by using spatial autocorrelation indicators adjusted by empirical Bayes, MPI and MNN index from the scale of 15-minute living circle and patch. The results show that:①The quantitative distribution of green space and functional spaces has a certain repulsion, and the strong and weak differentiation is intensified.②At the scale of 15-minute living circle, green space has the strongest overall spatial relevance to watersheds,transportation and residences. The correlation with watersheds and transportation is strong continuously, while the residential area has a certain lag. Green space and functional spaces form the green core area, urban core area and general development area.③At the patch scale, the spatial aggregation of green space with transportation, residential, water area, and commercial services is prominent.The correlation with traffic continues to deepen and strengthen, and the rest tends to weaken first and then strengthen. The results can deepen the theory of interaction between green space and urban space, and provide a scientific basis for the efficient and coordinated development of green space and urban functional space, and the construction of a livable and beautiful living environment.
关键词：绿地；城市功能空间；空间关联；时空特征；南京
Keyword: green space; urban functional space; spatial correlation; spatial and temporal characteristics; Nanjing
中图分类号：TU984
文献标识码: A
资金资助
国家自然科学基金面上项目 城市绿地与居住用地空间耦合的过程、效应与机理研究——以南京为例 51878429
教育部人文社会科学研究项目，苏州科技大学风景园林学科建设项目 基于GIS技术的公园绿地社会空间分异效应及调控对策研究——以苏州为例 18YJCZH189
吴远翔，朱逊，刘晓光，等. 基于景观格局分析的城市生态网络修复研究[J]. 上海城市规划，2019（1）：40-44.
WU Yuanxiang, ZHU Xun, LIU Xiaoguang, etal. Urban ecological network restoration based on landscape pattern analysis[J]. Shanghai Urban Planning Review, 2019(1): 40-44.
张维. 中共中央 国务院关于进一步加强城市规划建设管理工作的若干意见[N]. 人民日报，2016-02-22（6）.
ZHANG Wei. Several opinions of the Chinese Communist Party Central Committee and the State Council on further strengthening the management of urban planning and construction[N]. People's Daily, 2016-02-22(6).
申庆喜，李诚固，周国磊，等. 2002—2012年长春市城市功能空间耦合研究[J]. 地理研究，2015，34（10）：1897-1910.SHEN Qingxi, LI Chenggu, ZHOU Guolei, et al. The coupling of functional urban spaces: a case study of Changchun from 2002 to 2012[J].Geographical Research, 2015, 34(10): 1897-1910.
BEGHELLI S, GUASTELLA G, PAREGLIOS. Governance fragmentation and urban spatial expansion: evidence from Europe and the United States[J]. Review of Regional Research, 2020: 1-20.
LARKIN M P, ASKAROV Z, DOUCOULIAGOSC, et al. Do house prices ride the wave of immigration?[J]. Journal of Housing Economics, 2019, 46:101-630.
刘颂，刘滨谊. 城市绿地空间与城市发展的耦合研究——以无锡市区为例[J]. 中国园林，2010，26（3）：14-18.
LIU Song, LIU Binyi. Coupling analysis between urban green space and urban development: a case study of Wuxi[J]. Chinese Landscape Architecture,2010, 26(3): 14-18.
姜佳怡，戴菲，章俊华. 基于POI数据的上海城市功能区识别与绿地空间评价[J]. 中国园林，2019，35（10）：113-118.
JIANG Jiayi, DAI Fei, ZHANG Junhua.Identification of urban functional areas and evaluation of green space in Shanghai based on POI data[J]. Chinese Landscape Architecture, 2019,35(10): 113-118.
谢念斯，刘胜华. 广州市城市绿地空间格局及其关联性分析[J]. 生态科学，2019，38（3）：55-63.
XIE Niansi, LIU Shenghua. Spatial pattern and correlation analysis of urban green space in Guangzhou[J]. Ecological Science, 2019, 38(3): 55-63.
邵大伟，吴殿鸣，刘志强. 绿地与居住用地演进的空间相关性研究——以南京主城区为例[J]. 中国园林，2017，33（12）：64-69.
SHAO Dawei, WU Dianming, LIU Zhiqiang. Spatial correlation of green space and residential land evolution in the central city of Nanjing[J]. Chinese Landscape Architecture, 2017, 33(12): 64-69.
郝丽君，肖哲涛，邓荣鑫，等. 城市空间耦合下的郑州市中心城区绿道生态网络构建研究[J]. 生态经济，2019，35（10）：224-229.
HAO Lijun, XIAO Zhetao, DENG Rongxin, et al.The construction of greenway ecological network coupling with urban space in the central urbanarea of Zhengzhou[J]. Ecological Economy, 2019,35(10): 224-229.
黄怡，朱晓宇. 城市老年人的日常活动特征及其感知评价的影响因素——以上海中心城社区为例[J]. 上海城市规划，2018（6）：87-96.
HUANG Yi, ZHU Xiaoyu. Research on features of daily activities of urban elderly and influence factors of their perception evaluation: a case study of communities in central area of Shanghai[J].Shanghai Urban Planning Review, 2018(6): 87-96.
李如如，袁奇峰，韩高峰. “小街区、密路网”背景下的密度控制研究——以商业用地建筑密度和绿地率为例[J]. 规划师，2019，35（18）：40-47.
LI Ruru, YUAN Qifeng, HAN Gaofeng. Density control with "small block, dense road network":building density and green space ratio in commercialland use[J]. Planners, 2019, 35(18): 40-47.
郑晓笛，付泉川，吴熙. 资源衰退型城市“城—棕—绿”空间格局研究——以湖北省黄石市为例[J]. 风景园林，2021，28（2）：28-33.
ZHENG Xiaodi, FU Quanchuan, WU Xi. Spatial pattern of "city-brown-green" in resource-exhausted cities: a case study of Huangshi City, HubeiProvince[J]. Landscape Architecture, 2021, 28(2):28-33.
王宜军，曹磊. 中学校园景观改造设计与实践探索——以南京市紫东实验学校为例[J]. 林业科技开发，2015，29（6）：163-167.
WANG Yijun, CAO Lei. Middle school campus landscape reconstruction design and practice exploration—taking Nanjing Zidong Experimental School as an example[J]. Forestry Science and Technology Development, 2015, 29(6): 163-167.
李晓婷，刘佳，姜莎莎，等. 北京城区医院绿地林木树冠覆盖与城市森林结构分析[J]. 生态学报，2019，39（22）：8392-8403.
LI Xiaoting, LIU Jia, JIANG Shasha, et al. Analysis of the urban tree canopy and community structure of hospitals in urban areas of Beijing[J]. Acta Ecologica Sinica, 2019, 39(22): 8392-8403.
张浪. 上海绿地系统进化的作用机制和过程[J].中国园林，2012，28（11）：74-77.ZHANG Lang. The mechanism of the organic evolution of the urban green space system of Shanghai[J]. Chinese Landscape Architecture,2012, 28(11): 74-77.
张珂，程久苗，费罗成，等. 安徽省土地城镇化空间分异特征及驱动因素识别[J]. 资源科学，2018，40（10）：2060-2072.ZHANG Ke, CHENG Jiumiao, FEI Luocheng, et al. Spatial differential characteristics and driving factors of land urbanization in Anhui Province[J].Resources Science, 2018, 40(10): 2060-2072.
ANSELIN L. Exploring spatial data with GeoDa:a workbook[EB/OL]. (2005-03-06) [2018-01-19]. http://www.csiss.org/clearing-house/GeoDa/geodaworkbook.pdf.
杨杨，吴次芳. 泛长江三角洲区域经济空间差异分析——基于经验贝叶斯修正的空间自相关指数[J]. 长江流域资源与环境，2011，18（5）：513-518.
YANG Yang, WU Cifang. Regional economic disparities in Pan-Yangtze River Delta-based on EBI and EBIi[J]. Resources and Environment in the Yangtze Basin, 2011, 18(5): 513-518.
邵留长，乔家君，汪永新. 河南省县域经济空间结构及演进特征[J]. 地域研究与开发，2016，35（1）：64-69.
SHAO Liuchang, QIAO Jiajun, WANG Yongxin.Spatial structure and evolution characteristics
of county economy in Henan Province[J]. Areal Research and Development, 2016, 35(1): 64-69.
傅伯杰，陈利顶，马克明. 景观生态学原理及应用[M]. 北京：科学出版社，2002：43-61.
FU Bojie, CHEN Liding, MA Keming. Principles and applications of landscape ecology[M]. Beijing:Science Press, 2002: 43-61.
