双向联系视域下长江经济带城市群网络结构——基于时间距离和社会网络分析方法
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摘要
基于修正引力模型和社会网络分析方法,分析长江经济带城市群城市间的双向经济联系格局与城市网络得出:①长江经济带城市群城际经济联系强度存在明显的方向性差异,上海、苏州、重庆、武汉等城市对其他城市的经济联系强度与其他城市对其经济联系强度差异明显。②长江经济带城市群内部经济联系强度总量较大,而城市群之间的经济联系强度总量较小。长江经济带5个城市群之间的经济联系格局很不平衡,长三角城市群经济联系强度总量约占长江经济带城市群城市经济联系强度总量的77%。③长江经济带城市群城市网络密集程度整体不高,城市网络空间结构"西疏东密"。长江经济带城市之间以直接联系为主,但城市网络仍依赖一些关键城市作为联系"媒介",重庆、武汉和成都的中介功能尤为突出。④聚类分析发现,长江经济带城市群84个城市可分为8个三级子群、4个二级子群,组成滇中黔中、成渝以及长江中下游3个城市小团体。
Using the modified gravity model and social network analysis method, this study investigates bidirectional economic connection pattern and network of urban agglomeration in Yangtze River Economic Belt(YREB). The results indicate that: 1) There are obvious directional differences in economic connection intensity between cities in YREB.Economic connection intensity of Shanghai, Suzhou, Chongqing and Wuhan towards other cities is distinct different from other cities' economic connection intensity towards them. 2) The total amount of economic connection intensity is relatively large within urban agglomerations and relatively small among urban agglomerations. The economic connection pattern among the five urban agglomerations in YREB is unevenly distributed. The total amount of economic connection intensity in Yangtze River Delta urban agglomeration accounts for 77% of the total amount of economic connection intensity in YREB. 3) The density of urban network in YREB is in the medium level and presents a trend that it is much stronger in the east of the east of YREB than the west. Urban network in YREB is dominated by direct contact, but still rely on some key cities as the "medium". The intermediary function of Chongqing, Wuhan and Chengdu is particularly prominent. 4) Cluster analysis shows that 84 cities in the YREB are divided into eight third-level cohesive subgroups and four second-level cohesive subgroups, which consist of three subsets that are Yunnan-Guizhou subset, ChengduChongqing subset and the middle and lower reaches of the Yangtze River.
Using the modified gravity model and social network analysis method, this study investigates bidirectional economic connection pattern and network of urban agglomeration in Yangtze River Economic Belt(YREB). The results indicate that: 1) There are obvious directional differences in economic connection intensity between cities in YREB.Economic connection intensity of Shanghai, Suzhou, Chongqing and Wuhan towards other cities is distinct different from other cities' economic connection intensity towards them. 2) The total amount of economic connection intensity is relatively large within urban agglomerations and relatively small among urban agglomerations. The economic connection pattern among the five urban agglomerations in YREB is unevenly distributed. The total amount of economic connection intensity in Yangtze River Delta urban agglomeration accounts for 77% of the total amount of economic connection intensity in YREB. 3) The density of urban network in YREB is in the medium level and presents a trend that it is much stronger in the east of the east of YREB than the west. Urban network in YREB is dominated by direct contact, but still rely on some key cities as the "medium". The intermediary function of Chongqing, Wuhan and Chengdu is particularly prominent. 4) Cluster analysis shows that 84 cities in the YREB are divided into eight third-level cohesive subgroups and four second-level cohesive subgroups, which consist of three subsets that are Yunnan-Guizhou subset, ChengduChongqing subset and the middle and lower reaches of the Yangtze River.
引文
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[2]冯兴华,钟业喜,李峥荣,等.长江经济带城市体系空间格局演变[J].长江流域资源与环境,2017,26(11):1 721-1 733.
[3]王圣云,翟晨阳.长江经济带城市集群网络结构与空间合作路径[J].经济地理,2015,35(11):61-70.
[4]邹琳,曾刚,曹贤忠,等.长江经济带的经济联系网络空间特征分析[J].经济地理,2015,35(6):1-7.
[5]刘耀彬,戴璐.基于SNA的环鄱阳湖城市群网络结构的经济联系分析[J].长江流域资源与环境,2013,22(3):263-271.
[6]汤放华,汤慧,孙倩,等.长江中游城市集群经济网络结构分析[J].地理学报,2013,68(10):1 357-1 366.
[7]宋琼,谢志祥,李同昇,等.长江中游城市群城市网络空间结构研究[J].地域研究与开发,2017,36(3):59-65.
[8]张荣天.长三角城市群网络结构时空演变分析[J].经济地理,2017,37(2):46-52.
[9]苗长虹,王海江.河南省城市的经济联系方向与强度——兼论中原城市群的形成与对外联系[J].地理研究,2006,25(2):222-232.
[10]尹娟,董少华,陈红. 2004—2013年滇中城市群城市空间联系强度时空演变[J].地域研究与开发,2015,34(1):65-70.
[11]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[J].经济地理,2015,35(10):50-56.
[12]郭建科,王绍博,李博,等.哈大高铁对东北城市旅游经济联系的空间影响[J].地理科学,2016,36(4):521-529.
[13]曼纽尔·卡斯特.网络社会的崛起[M].夏铸九,王志弘,等译.北京:社会科学文献出版社,2003.
[14]王德忠,庄仁兴.区域经济联系定量分析初探:以上海与苏锡常地区经济联系为例[J].地理科学,1996,16(1):51-57.
[15]刘军.整体网分析讲义:UCINET软件实用指南[M].上海:格致出版社,上海人民出版社,2009.
[16]王圣云,罗颖,李晶,等.长江中游城市群城乡协同发展演进与系统耦合机制[J].南昌大学学报:人文社会科学版,2018,49(5):59-66.
[17]秦尊文,等.长江经济带城市群战略研究[M].上海:上海人民出版社,2018.
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