中文摘要：

摘要：城市群空间影响范围的界定是认清城市群内中心城市与腹地、城市与城市间相互关联的基础。采用主成分分析法计算中国287个地级及以上城市的结节性指数，利用累积耗费距离法和后阶数据场，综合测度了交通可达性与空间场能，根据场强“取大”原则对城市腹地进行了划分，依据城市腹地范围界定了城市群的空间影响范围。结果表明：①中国地级以上城市最大和最小结节性指数相差157．53倍，城市平均可达时间为193．43min，场能平均值为5412，最大和最小城市腹地相差3751倍；②23个城市群中，空间影响范围最大的是北疆城市群，空间平均场强最大的是中原城市群；③城市群在空间上呈现为发育程度不同的“11＋9＋3”的分布格局和逆时针90。旋转的“p”型城市群连绵带发展格局；④基于腹地划分的城市群空间影响范围充分考虑了现实的交通网络和地形地貌特点，实现了对广域空间范围内城市腹地范围和城市群空间影响范围的定量测度。

英文摘要：

The delimitation of the sphere of spatial influence of urban agglomerations is essential for under- standing the interrelationship between city and its hinterland, as well as city and city. However, to date, there is no coincident, efficient, and credible methodological system and set of techniques to identify Chinese urban agglomera- tion. In this research, the principal components analysis method was used to calculate urban nodality index with the indicators system. With the application of raster cost weighted distance method and k-order data fields, this paper attempts to comprehensively measure the regional accessibility and the spatial field of cities at prefecture level or a- bove in China. Then the spatial field intensity of cities in 2010 was measured by the field model and the urban hin- terlands were divided by using the maximization principle of the field strength. Finally, the spatial influence sphere of urban agglomerations were divided according to the urban hinterlands and under the correlation analysis. The re- sults show that it is simple and vivid to measure the urban hinterland area of prefecture-level cities or above and the spatial influence sphere of urban agglomerations by using the GIS tools. The introduction of field-strength model takes full account of the dual effects of the city comprehensive scale and road traffic conditions within the range of urban hinterlands, which is closer to reflecting the actual urban development. According to the result of delimita- tion, it would form＂ 11 ＋9＋3＂ national urban agglomerations spatial structure system comprised of 11 compliance ur- ban agglomerations ,9 urban concentrated areas, 3 urban agglomeration potential areas and＂ β＂ shaped urban agglom- erations continuous band.