近20年粤港澳大湾区城市群时空演化格局分析

doi:10.3969/j.issn.1004-9479.2020.06.2019493

摘要/Abstract

摘要：

粤港澳大湾区城市群作为世界四大湾区城市群之一，在国家发展格局中占有重要的地位。基于多源数据，利用重心迁移模型、扩张演化模型及改进的引力模型探究近20年粤港澳大湾区城市群的演化。结果表明：①在城市演化类型上，澳门、肇庆呈单向型演化，佛山、中山、珠海、惠州、香港呈双向型演化，广州、江门、东莞、深圳呈发散型演化；2008～2017年城市群整体的扩张速度与强度低于1998～2008年。②近20年粤港澳大湾区城市群的城市质量、关联度呈不断上升趋势，并表现出一定的区域性和不平衡性，城市质量与经济发展程度、城市空间呈正相关关系，城市质量高的城市与周边城市的关联度高；③粤港澳大湾区城市群的社会经济区位度存在明显“断层”，缺乏合理的梯度等级，并表现出一定的空间分异且部分城市的区位度演化显著。

关键词: 粤港澳大湾区, 城市群, 演化, 城市质量, 城市关联度, 社会经济区位度

Abstract:

Guangdong-HongKong-Macau Greater Bay Area urban agglomeration plays an important role in the national development pattern. Based on the multi-source data, the evolution is studied by using the center of gravity model and the improved gravitional model. The results show that: (1)In the type of urban evolution, Macao and Zhaoqing is unidirectional evolution, Foshan, Zhongshan, Zhuhai, Huizhou, Hong Kong is two-way evolution, Guangzhou, Jiangmen, Dongguan, Shenzhen have divergent evolution, and urban agglomeration from 2008 to 2017 The overall expansion speed and intensity of the group is lower than that of 1998-2008. (2) In the past 20 years, the urban quality and correlation degree of Guangdong-Hong Kong-Macau Greater Bay Area urban agglomeration are on the rise, and show a certain regional and imbalanced , the degree of economic development, the urban space and urban quality have a positive correlation, and the city with high urban quality has a high correlation with the surrounding cities; (3)There are obvious "faults" in the social-economic Location of Guangdong-Hong Kong-Macau Greater Bay Area urban agglomeration, lack of reasonable gradient grade, and show certain spatial differentiation and significant evolution of location degree in some cities.

Key words: Guangdong-HongKong-Macau Greater Bay Area, urban agglomeration, evolution, urban quality, urban correlation, social-economic location

邓昊键, 李恒凯, 熊永柱, 郑春燕, 李迎双. 近20年粤港澳大湾区城市群时空演化格局分析[J]. 世界地理研究, 2020, 29(6): 1181-1189.

Haojian DENG, Hengkai LI, Yongzhu XIONG, Chunyan ZHEN, Yingshuang LI. Temporal-spatial evolution of urban agglomeration in Guangdong-HongKong-Macao Greater Bay Area in recent 20 years[J]. World Regional Studies, 2020, 29(6): 1181-1189.

图/表 5

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城市	1998～2008		2008～2017		1998			2008			2017
城市	ES /%	EU /%	ES /%	EU /%	BA / km²	P^* / -	BN / km²	BA / km²	P^* / -	BN / km²	BA / km²	P^* / -	BN / km²
广州	12.16	2.11	2.5	0.57	490.52	55	35866	974.92	59	87700	1262.09	155	103818
佛山	4.64	1.67	4.75	0.92	418.09	52	28830	527.41	59	44451	721.05	149	66126
惠州	9.76	2.67	7.7	0.76	203.75	30	10126	316.58	54	24278	528.77	143	41664
珠海	10	2.03	4.04	1.38	129.4	38	8383	247.94	48	17472	333.15	136	28315
中山	10.08	2.15	2.37	0.81	208.67	49	14973	395.89	59	33886	470.8	147	44383
深圳	9.16	2.34	2.23	0.98	380.71	57	30155	706.8	61	59552	824.77	161	74331
东莞	5.02	1	3.95	1.55	391.85	55	31292	633.91	61	43382	801.43	155	78397
肇庆	10.33	1.64	4.56	0.89	186.75	30	7844	278.39	37	19819	410.3	116	32676
澳门	5.58	2.09	2	1.84	9.75	57	723	15.42	58	1110	15.87	187	1657
江门	14.16	1.17	6.7	1.21	139.91	42	8971	326.07	48	22310	553.45	126	45855
香港	2.68	0.45	0.93	0.11	125.36	62	9836	134.72	63	14364	148.16	175	15341

城市	1998～2008		2008～2017		1998			2008			2017
城市	ES /%	EU /%	ES /%	EU /%	BA / km²	P^* / -	BN / km²	BA / km²	P^* / -	BN / km²	BA / km²	P^* / -	BN / km²
广州	12.16	2.11	2.5	0.57	490.52	55	35866	974.92	59	87700	1262.09	155	103818
佛山	4.64	1.67	4.75	0.92	418.09	52	28830	527.41	59	44451	721.05	149	66126
惠州	9.76	2.67	7.7	0.76	203.75	30	10126	316.58	54	24278	528.77	143	41664
珠海	10	2.03	4.04	1.38	129.4	38	8383	247.94	48	17472	333.15	136	28315
中山	10.08	2.15	2.37	0.81	208.67	49	14973	395.89	59	33886	470.8	147	44383
深圳	9.16	2.34	2.23	0.98	380.71	57	30155	706.8	61	59552	824.77	161	74331
东莞	5.02	1	3.95	1.55	391.85	55	31292	633.91	61	43382	801.43	155	78397
肇庆	10.33	1.64	4.56	0.89	186.75	30	7844	278.39	37	19819	410.3	116	32676
澳门	5.58	2.09	2	1.84	9.75	57	723	15.42	58	1110	15.87	187	1657
江门	14.16	1.17	6.7	1.21	139.91	42	8971	326.07	48	22310	553.45	126	45855
香港	2.68	0.45	0.93	0.11	125.36	62	9836	134.72	63	14364	148.16	175	15341

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