城市群视角下空间联系与城市扩张的关联分析

doi:10.18306/dlkxjz.2016.10.001

Abstract

Abstract:

Urban expansion displays varied spatial characteristics in different periods of urban agglomeration development. Studying the spatial and temporal patterns of urban expansion from the perspective of urban agglomeration is important for understanding the complex relationship between urban expansion and network structure of urban agglomerations. In this study we analyzed urban expansion in the Yangtze River Delta urban agglomeration based on road network, a gravity model, and a space syntax model. Construction land expansion was obtained from Landsat remote sensing data in 1980, 1990, 2000, and 2010 and then was used to calculate intensity and speed of urban expansion. Position of cities in the traffic network of the urban agglomeration was analyzed by accessibility to and spatial interaction intensity of core cities. The space syntax model was used to compute accessibility of the road network and the status of a city in the network of the urban agglomeration. The results show that, first, urban expansion intensity displayed a positive correlation with accessibility to core cities, spatial interaction intensity of core cities, and space syntax indicators. Second, there was a positive correlation between urban expansion velocity and indicators identified above in the first (1980-1990) and second (1990-2000) periods. However, it exhibited a negative correlation in the third period (2000-2010). Cities with a relatively poor interconnectivity of traffic network and located in the periphery of the urban agglomeration developed more quickly in the last time period, displaying a trend of spatial convergence. This study shows that spatial linkage played an important but evolving role in urban expansion within the urban agglomeration of the Yangtze River Delta. In addition, it serves as a reference for the planning of the Yangtze River Delta urban agglomeration and the regulation of urban expansion of other urban agglomerations.

Key words: urban expansion, road network, space syntax, spatial interaction, Yangtze River Delta Urban Agglomeration

Limin JIAO, Xin TANG, Xiaoping LIU. Spatial linkage and urban expansion:An urban agglomeration perspective[J].PROGRESS IN GEOGRAPHY, 2016, 35(10): 1177-1185.

Figures/Tables 13

Fig.1

Tab.1

Classification result based on the weighted distance index"

级别	$d j ˉ$	城市	1980年主城区面积/km²
1	0.81	上海市、苏州市、嘉兴市、湖州市、无锡市	166.10
2	0.68	常州市、杭州市、绍兴市、镇江市、南京市	123.04
3	0.53	马鞍山市、扬州市、滁州市、芜湖市、宁波市	55.31
4	0.44	泰州市、金华市、南通市、合肥市、衢州市	59.65
5	0.31	台州市、盐城市、宿迁市、丽水市、淮南市	63.54
6	0.13	温州市、徐州市、淮安市、连云港市	93.03

Tab.1

Fig.2

Fig.3

Tab.2

Spearman's rank correlation coefficient between weighted distance index and urban expansion indicators"

$d j ˉ$	AI/km²	AGR/%	AE/%
1990年	0.345	0.297	0.307^*
2000年	0.576^**	0.372^**	0.614^**
2010年	0.315	-0.210	0.391^*

Tab.2

Tab.3

Classification result based on spatial interaction intensity"

级别	$F ˉ$ /(元·人×10⁸/km²)	城市	1980年主城区面积/km²
1	21.09	苏州市、无锡市、常州市、宁波市、合肥市	98.89
2	3.80	镇江市、马鞍山市、扬州市、嘉兴市、绍兴市	70.72
3	1.59	湖州市、芜湖市、南通市、徐州市、温州市	69.23
4	0.45	泰州市、台州市、淮安市、盐城市、金华市	68.85
5	0.19	滁州市、淮南市、宿迁市、衢州市、连云港市、丽水市	54.24

Tab.3

Fig.4

Tab.4

Fig.5

Tab.5

Tab.6

Tab.7

Fig.6

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F	AI/km²	AGR/%	AE/%
1990年	0.442^*	0.312	0.495^*
2000年	0.740^**	0.402^*	0.708^**
2010年	0.551^**	-0.106	0.584^**

TGI	AI/km²	AGR/%	AE/%
1990年	0.744^***	0.328^*	0.574^**
2000年	0.860^***	0.482^**	0.870^***
2010年	0.850^***	-0.254	0.373^*

级别	城市(2010年)
1	上海市- -、南京市- -、杭州市- -、苏州市- -、镇江市↓-
2	徐州市↓-、合肥市- -、无锡市↑-、嘉兴市- -、宁波市-↓
3	常州市↑↑、湖州市- -、马鞍山市- -、芜湖市- -、绍兴市- -
4	淮安市↓↓、扬州市- -、衢州市- -、金华市- -、南通市- -
5	泰州市↑↑、连云港市- -、温州市- -、盐城市-↓、淮南市- -
6	台州市-↑、丽水市- -、滁州市- -、宿迁市- -

Spatial linkage and urban expansion:An urban agglomeration perspective

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时间	国道	铁路	高速公路
1990年	60	50	—
2000年	70	100	110
2010年	80	140	120