基于“点—轴系统”理论的城市群边界识别

doi:10.11820/dlkxjz.2015.03.003

Abstract

Abstract:

Delineating the scope of urban agglomerations is a basic condition for understanding the evolution of cities and regions and for developing strategies and planning of urban agglomerations. At present, the scope of urban agglomerations in China are mainly decided based upon analyses of center cities and their connections with other cities by viewing them as separate points, but there is few consensus on how to define the spatial boundary of urban agglomerations other than using the jurisdiction border of the cities. In practice, there is a tendency to take urban agglomeration as a policy tool for raising the importance of certain areas and promoting regional development. As a result, the number and scope of urban agglomerations have been exaggerated. In order to solve these problems, in this article a methodology for delineating the scope of urban agglomerations is discussed from an economic geographic perspective based on the 'Pole-Axis Theory'. A four-step process was proposed: (1) to make judgment of the existence of central cities; (2) to examine the cities' rank system and the resources and environment base of the region to see if an urban agglomeration can be sustained; (3) to analyze the social and economic connections between central cities and other cities in the region; (4) to evaluate the development level of urban agglomerations with the scale of 'Pole-Axis Theory'. A case study is conducted in the Beijing-Tianjin-Hebei Region, and a comparison is made about the formation and development of the five main urban agglomerations in the Beijing-Tianjin-Hebei, Yangtze River Delta, Perl River Delta, Middle Yangtze River, and Chengdu-Chongqing regions.

Key words: city boundary, Pole-Axis theory, Densi-Graph, centricity, regional development

Xiaolu GAO, Zening XU, Fangqu NIU. Delineating the scope of urban agglomerations based upon the Pole-Axis theory[J].PROGRESS IN GEOGRAPHY, 2015, 34(3): 280-289.

Figures/Tables 9

Fig.1

Fig.2

Tab.1

Weights of indicators for the evaluation of comprehensive strength of space units"

指标	权重 $w$
一般财政收入/万元	0.31
社会消费品零售总额/万元	0.26
GDP总量/万元	0.21
固定资产投资总额/万元	0.14
年底常住人口/万	0.07
第三产业比重	0.01

Tab.1

Tab.2

Fig.3

Tab.3

Fig.4

Fig.5

Fig.6

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空间单元	中心性指数	空间单元	中心性指数	空间单元	中心性指数
北京市中心城区	99.62	河北省武安市	3.73	河北省定州市	2.47
天津市滨海新区	39.45	天津市宝坻区	3.67	河北省邢台市城区	2.46
天津市中心城区	23.51	河北省唐山市城区	3.67	河北省鹿泉市	2.37
河北省石家庄市城区	13.76	天津市蓟县	3.51	北京市怀柔区	2.36
北京市顺义区	8.08	河北省遵化市	3.23	河北省唐山市乐亭县	2.33
北京市昌平区	6.36	河北省唐山市丰南区	3.20	河北省河间市	2.32
北京市通州区	5.91	天津市静海县	3.18	河北省唐山市滦县	2.31
北京市大兴区	5.90	河北省唐山市丰润区	3.16	河北省唐山市滦南县	2.28
天津市东丽区	5.68	河北省任丘市	3.12	河北省唐山市玉田县	2.27
天津市西青区	5.54	河北省张家口市城区	3.08	河北省承德市城区	2.27
北京市房山区	5.30	河北省藁城市	3.05	河北省邯郸市磁县	2.22
河北省秦皇岛市城区	5.29	河北省辛集市	2.74	河北省邯郸市涉县	2.18
天津市武清区	5.17	河北省廊坊市城区	2.72	河北省唐山市迁西县	2.12
天津市津南区	5.12	河北省沧州市城区	2.68	河北省石家庄市正定县	2.11
河北省迁安市	4.98	天津市宁河县	2.57	河北省黄骅市	2.07
天津市北辰区	4.83	河北省涿州市	2.54	河北省沧州市沧县	2.04
河北省保定市城区	4.31	河北省霸州市	2.52	北京市平谷区	2.03
河北省邯郸市城区	3.94	北京市密云县	2.51
河北省三河市	3.90	河北省邯郸市永年县	2.47

经济社会联系强度评价指标	权重w
铁路客运量	0.36
公路客运量	0.35
百度搜索信息量	0.27
交通可达性	0.02

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Delineating the scope of urban agglomerations based upon the Pole-Axis theory

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