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GEOGRAPHICAL RESEARCH >

2009 , Vol. 28 >Issue 3: 803 - 816

DOI: https://doi.org/10.11821/yj2009030024

Urban and Rural Studies

Delimitation of central cities attracting scope based on time accessibility: A case study of the Yangtze River Delta

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  • 1. College of Geographical Science, Nanjing Normal University, Nanjing 210046, China;
    2. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received date: 2008-07-12

  Revised date: 2008-10-07

  Online published: 2009-05-25

Supported by

国家自然科学基金资助项目(70573053,40771075)

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Abstract

Using MapX component and Delphi, the authors develop a program to calculate and analyze regional time accessibility based on minimal seed algorithm, thus generating a mark diffusing figure and city attracting scope. Based on land traffic network including highway, national way, provincial way and railway, this paper analyzes cities attracting scope. Some conclusions are drawn as follows. Shanghai is the first grade city. Its attracting scope covers the whole Yangtze River Delta (YRD) and presents a fan-like distribution along traffic axis of Shanghai-Nanjing and Shanghai-Hangzhou with Shanghai as its core. The second grade cities attracting scopes present rings along traffic axes of Shanghai-Nanjing and Shanghai-Hangzhou with Shanghai, Nanjing and Hangzhou as their cores. The third grade cities attracting scopes in one hour presents zonal distribution along traffic axes of Shanghai-Nanjing, Shanghai-Hangzhou, Hangzhou-Ningbo and Nanjing-Nantong with 15 main cities as their cores. The relationship between the third grade cities attracting scope and their administrative areas can be divided into four categories. The attracting scopes of Taizhou in Jiangsu province, Huzhou, Changzhou and Ningbo are greater than their administrative areas. The attracting scopes of Hangzhou, Shaoxing, Shanghai and Taizhou in Zhejiang province are tally with their administrative areas. The attracting scopes of Jiaxing, Nanjing, Wuxi and Yangzhou are misplaced with their administrative areas. The attracting scopes of Nantong, Suzhou and Zhenjiang are smaller than their administrative areas. The fourth grade cities attracting scopes in one hour almost cover the whole YRD and present network distribution along the high grade roads and railways with 81 counties as their cores. The attracting scopes of the fourth grade cities in the YRD form a regional spatial system. The attracting scopes of city have changed along with the construction of bridges and tunnels which straddle sea and the Yangtze River.

Key words： time accessibility; city attracting scope; Yangtze River Delta; geographic information system

Cite this article

ZHANG Li, LU Yu-qi, ZHAO Yuan-zheng . Delimitation of central cities attracting scope based on time accessibility: A case study of the Yangtze River Delta[J]. GEOGRAPHICAL RESEARCH, 2009 , 28(3) : 803 -816 . DOI: 10.11821/yj2009030024

References



[1] 张义文,高新法,荣美娜. 河北省主要城市吸引范围. 河北师范大学学报(自然科学版),2001,25(4):533~536.



[2] 周一星. 城市地理学. 北京:商务印书馆,1999.



[3] 沃尔特·克里斯塔勒. 德国南部中心地原理. 北京:商务印书馆,1998.



[4] Green F H W. Urban hinterlands in England and Wales: An analysis of bus services. The Geographical Journal,1950,116(3):64~81.



[5] Green H L. Hinterland boundaries of New York City and Boston in southern New England. Economic Geography, 1955,31(4):283~300.



[6] Huff D L,Lust J M. Ireland's urban system. Economic Geography,1979,56(3):196~211.



[7] McCann L D. Heartland and Hinterland:A Geography of Canada. Toronto:Prentice-Hall,1987.



[8] 顾朝林,刘志红,万利国. 济南城市经济影响区的划分. 地理科学,1992,12(1):15~26.



[9] 隆国强. 确定城市吸引范围方法的进一步探讨. 城市问题,1988,(1):12~16.



[10] 刘科伟. 城市空间影响范围划分与城市经济区问题探讨——以陕西省为例. 西北大学学报(自然科学版),1995,25(2):129~134.



[11] 李传武,黄新南,杨本俊. 六安市域经济的非均衡发展分析. 安徽农业科学,2005,33(9):1737~1738.



[12] 陈田. 我国城市经济影响区域系统的初步分析. 地理学报,1987,42(4):308~318.



[13] 杜忠潮,苏英. 陕西省城市影响区的空间结构及发展趋势研究. 西北大学学报(自然科学版),2003,33(5):586~590.



[14] 南平,姚永鹏,张方明. 甘肃省城市经济辐射区及其经济协作区研究. 人文地理,2006,121(2):89~92.



[15] 孔凡娥,周春山. 广州城市腹地划分及变化研究. 城市发展研究,2006,13(4):7~12.



[16] 姜世国. 都市区范围界定方法探讨——以杭州市为例. 地理与地理信息科学,2004,20(1):67~72.



[17] 张义文,高新法,荣美娜,等. 河北省主要城市吸引范围. 河北师范大学学报(自然科学版),2001,25(4):533~536.



[18] 张莉,陆玉麒. 河北省城市影响范围及空间发展趋势研究. 地理学与国土研究,2001,17(1):11~15.



[19] 吴殿廷,朱青. 区域定量划分方法的初步研究. 北京师范大学学报(自然科学版),2003,39(3):412~416.



[20] 王德,郭洁. 沪宁杭地区城市影响腹地的划分及其动态变化研究. 城市规划汇刊,2003,(6):6~11.



[21] 王德,项曰丙. 中心城市影响腹地的动态变化研究. 同济大学学报(自然科学版),2006,34(9):1175~1179.



[22] 王新生,郭庆胜,姜友华. 一种用于界定经济客体空间影响范围的方法——Voronoi图. 地理研究,2000,19(3):311~315.



[23] 王新生,李全,郭庆胜,等. Voronoi图的扩展、生成及其应用于界定城市空间影响范围. 华中师范大学学报(自然科学版),2002,36(1):107~111.



[24] 郭庆胜,闫卫阳,李圣权. 中心城市空间影响范围的近似性划分. 武汉大学学报·信息科学版,2003,28(5):596~599.



[25] 闫卫阳,秦耀辰,郭庆胜,等. 城市断裂点理论的验证、扩展及应用. 人文地理,2004,19(2):12~16.



[26] 闫卫阳,郭庆胜,李圣权. Delaunay三角网与Voronoi图在划分城市影响空间中的应用研究. 测绘信息与工程,2004,29(3):1~2.



[27] 李圣权,胡鹏,闫卫阳. 基于加权Voronoi图的城市影响范围划分. 武汉大学学报(工学版),2004,37(1):94~97.



[28] 李新运,郑新奇. 基于曲边Voronoi图的城市吸引范围挖掘方法. 测绘学院学报,2004,21(1):38~41.



[29] 易芳馨,殷会良. 基于GIS技术的贵州省城市影响腹地划分. 贵州工业大学学报(自然科学版),2006,35(3):88~95.



[30] 王桂圆,陈眉舞. 基于GIS的城市势力圈测度研究. 地理与地理信息科学,2004,20(3):69~73.



[31] Johnston R J. Dictionary of Human Geography. 3rd edn. Oxford: Basil Blackwell, 1994.



[32] Hansen W G. How accessibility shapes land use. Journal of the American Institute of Planners, 1959, 25:73~76.



[33] 张莉,陆玉麒. 基于陆路交通网的区域可达性评价——以长江三角洲为例. 地理学报,2006,61(12):1235~1246.



[34] 赵元正,陆玉麒,张莉. 时间可达性计算的最小种子算法. 计算机工程与设计,2006,27(22):4171~4174.



[35] 吴威,曹有挥,曹卫东. 开放条件下长江三角洲区域的综合交通可达性空间格局. 地理研究,2007,26(2):391~402.



[36] 张兵,金凤君,于良. 近20年来湖南公路网络优化与空间格局演变. 地理研究,2007,26(4):712~722.
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