山西省县域可达性及城市经济联系格局

doi:10.18306/dlkxjz.2016.11.004

Abstract

Abstract:

Using weighted mean travel time model, gravity model, principal component analysis, geostatistical analyst, exploratory spatial data analysis, and correlation and regression analysis methods and techniques, this study conducted an in-depth analysis of accessibility and urban spatial connections of 107 county-level administrative units in Shanxi Province. The results are as follows. First, accessibility of cities in Shanxi Province is highest in the highly urbanized area of the Taiyuan Basin and gradually decreases outward, which presents a core-periphery distribution pattern. Locally, accessibility in the eastern part is better than the west, and the south is better than the north. Second, economic connections at the county scale form an one core, one circle, and three groups spatial pattern; the overall linkages of cities differ and show a provincial capital and cities with higher overall strength centric distribution pattern. Peripheral county-level units along the Yellow River in the west present weak connections with other units and the overall linkages are small too. Cities in Shanxi Province have close connections with Beijing, Shijiazhuang, Xi'an, Ji'nan, and Zhengzhou and have weak connections with Yinchuan, Lanzhou, and other western provincial capital cities. Third, economic strength, transportation condition, location, urbanization level, and relief of land surface are the main influencing factors of economic connections at the county scale in Shanxi Province.

Key words: accessibility, economic linkage at county scale, spatial pattern, influencing factor, Shanxi Province

Qinqin SHI, Jiangjiang KANG, Fengxian LU, Kaina ZHAO, Shixin REN. Accessibility and urban economic linkages of counties in Shanxi Province[J].PROGRESS IN GEOGRAPHY, 2016, 35(11): 1340-1351.

Figures/Tables 9

Tab.1

Tab.2

Accessibility of counties in Shanxi Province"

研究单元	$A i$ /h	$A ′ i$	研究单元	$A i$ /h	$A ′ i$	研究单元	$A i$ /h	$A ′ i$
太原市区	2.98	0.71	应县	4.61	1.10	岢岚县	4.52	1.08
清徐县	2.85	0.68	右玉县	5.98	1.42	河曲县	6.40	1.52
阳曲县	2.94	0.70	怀仁县	4.81	1.15	保德县	5.69	1.35
娄烦县	4.02	0.96	榆次区	2.97	0.71	偏关县	6.19	1.47
古交市	3.16	0.75	榆社县	3.15	0.75	原平市	3.50	0.83
大同市区	4.95	1.18	左权县	3.59	0.85	临汾市区	3.69	0.88
阳高县	5.57	1.33	和顺县	4.00	0.95	曲沃县	4.03	0.96
天镇县	5.85	1.39	昔阳县	4.11	0.98	翼城县	4.20	1.00
广灵县	5.78	1.38	寿阳县	3.35	0.80	襄汾县	3.75	0.89
灵丘县	5.37	1.28	太谷县	3.03	0.72	洪洞县	3.45	0.82
浑源县	5.52	1.31	祁县	2.98	0.71	古县	3.86	0.92
左云县	5.59	1.33	平遥县	2.98	0.71	安泽县	4.26	1.02
大同县	5.20	1.24	灵石县	3.18	0.76	浮山县	4.26	1.01
阳泉市区	3.79	0.90	介休市	3.04	0.72	吉县	4.54	1.08
平定县	3.76	0.89	运城市区	4.66	1.11	乡宁县	4.37	1.04
盂县	3.67	0.87	临猗县	4.95	1.18	大宁县	4.70	1.12
长治市区	3.82	0.91	万荣县	4.59	1.09	隰县	4.37	1.04
长治县	3.79	0.90	闻喜县	4.31	1.03	永和县	4.65	1.11
襄垣县	3.67	0.87	稷山县	4.16	0.99	蒲县	4.46	1.06
屯留县	3.73	0.89	新绛县	3.91	0.93	汾西县	3.76	0.89
平顺县	4.19	1.00	绛县	4.35	1.04	侯马市	4.01	0.95
黎城县	4.15	0.99	垣曲县	4.42	1.05	霍州市	3.38	0.80
壶关县	4.01	0.96	夏县	4.73	1.13	孝义市	3.17	0.75
长子县	3.88	0.93	平陆县	5.02	1.20	离石区	3.76	0.90
武乡县	3.31	0.79	芮城县	6.12	1.46	汾阳市	3.15	0.75
沁县	3.59	0.86	永济市	5.26	1.25	文水县	3.16	0.75
沁源县	4.40	1.05	河津市	4.44	1.06	交城县	3.03	0.72
潞城市	3.97	0.95	忻州市区	3.29	0.78	兴县	4.98	1.19
晋城市区	4.13	0.98	定襄县	3.47	0.83	临县	4.38	1.04
沁水县	4.45	1.06	五台县	4.09	0.97	柳林县	4.00	0.95
阳城县	4.36	1.04	代县	4.11	0.98	石楼县	4.95	1.18
陵川县	4.39	1.05	繁峙县	4.36	1.04	岚县	4.06	0.97
泽州县	4.19	1.00	宁武县	4.53	1.08	方山县	4.02	0.96
高平市	4.02	0.96	静乐县	3.82	0.91	中阳县	4.15	0.99
朔州市区	4.39	1.05	神池县	4.95	1.18	交口县	4.31	1.03
山阴县	4.40	1.05	五寨县	4.98	1.19

Tab.2

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Tab.3

Fig.6

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目标层	准则层	指标层
城市综合实力	经济发展水平	地区生产总值、人均GDP、第二产业产值、第三产业产值、公共财政收入、在岗职工平均工资、年末从业人员
	社会发展水平	城市化率、居民储蓄存款余额、社会消费品零售总额、全体居民人均可支配收入、普通中学在校学生数、医疗卫生机构床位数
	城市建设投入	固定资产投资、公共财政支出

影响因素	相关性	回归系数	t	Sig.
基础规模	0.780^**	0.444	10.521	0.000
城市化水平	0.330^**	0.203	2.287	0.024
交通优势度	0.571^**	0.162	2.582	0.011
地形起伏度	-0.304^**	-0.449	-5.548	0.000
城市区位	-0.656^**	-1.822	-11.868	0.000
常数		2.517	2.587	0.011
R=0.930; R²=0.858; F=128.779。

Accessibility and urban economic linkages of counties in Shanxi Province

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