Journal of Geo-information Science >
Definition of Urban Hinterlands of Chengdu-Chongqing Economic Circle Based onWeighted Voronoi Diagram
Received date: 2013-09-17
Revised date: 2013-10-20
Online published: 2014-05-10
Among the influencing factors of regional resources integration and coordinated development, a reasonable division of city hinterland plays a key role. Based on the weighted Voronoi diagram, we put urban centricity intensity and comprehensive transportation accessibility as the weights into the breaking point model, and then revised the urban population scale in the model. As such we constructed a new urban hinterland definition model based on the weighted Voronoi model. To verify this new model, we took 36 central cities in Chengdu-Chongqing Economic Circle as an example to do a test. The result shows that, in our test area, the hinterland extent of each city does not match the administrative region extent well. To make it clearer, we divided these cities into three categories according to the ratio of the hinterland size and the administrative region size of each city. Cities, whose ratio is greater than 100%, have good conditions of hinterland outward extending and have great influence on the development of the surrounding cities. When the ratio is smaller than 60%, it indicates that the influence of the surrounding cities is much stronger than that of the central city itself. Once the ratio is between 60% and 100%, the central cities make little sense to the development of the surrounding cities. Furthermore, Chengdu City of Sichuan Province and Chongqing Municipality are both well-known as the most powerful cities in this region, however, their hinterland extents are not the biggest of all the hinterlands in the region. This phenomenon shows that the extent and size of a city hinterland is not completely positively related to its comprehensive strength, and it should be defined by the comprehensive strength of both the central city and the surrounding cities. Finally, this article completes a redefinition of city hinterland for each city in Chengdu-Chongqing Economic Circle, and it is expected to afford a certain reference to the future urban construction and city planning.
GUO Limin, ZHOU Tinggang, SU Yingchun . Definition of Urban Hinterlands of Chengdu-Chongqing Economic Circle Based onWeighted Voronoi Diagram[J]. Journal of Geo-information Science, 2014 , 16(3) : 411 -417 . DOI: 10.3724/SP.J.1047.2014.00411
[1] 孔祥彬.城市经济腹地及其空间范围的界定:以成都、绵阳为例[D].成都:西南交通大学,2004.
[2] 李小建.经济地理学[M].北京:高等教育出版社,2006.
[3] 顾朝林,庞海峰.基于重力模型的中国城市体系空间联系与层域划分[J].地理研究,2008,27(1):1-12.
[4] 师谦友,宋佃星,李强.山东省城市经济影响区的格局变化[J].城市问题,2009(4):65-70.
[5] 闫卫阳,秦耀辰,郭庆胜.城市断裂点理论的验证、扩展及应用[J].人文地理,2004,19(2):12-16.
[6] 段七零.基于断裂点理论的南京经济腹地界定及层次划分[J].长江流域资源与环境,2010,19(8):854-858.
[7] 吴扬,汪珠.基于GIS的城市影响腹地划分研究——以长江三角洲为例[J].云南地理环境研究,2008,20(6):45-50.
[8] 邱岳,韦素琼,陈进栋.基于场强模型的海西区地级以上城市影响腹地的空间格局[J]. 地理研究,2011,30(5): 796-803.
[9] 梅志雄,徐颂军,欧阳军.珠三角城市群空间吸引力范围界定及其变化[J].经济地理,2012,32(12):47-60.
[10] 苗李莉,蒋卫国,万圆,等.基于加权Voronoi 图的北京市湿地功能分区研究[J]. 地球信息科学学报,2013,15(4): 554-559.
[11] 赵春燕,蒋琼星,周建平.基于加权Voronoi 图的湖南省城市影响范围分析[J].测绘通报,2010(6):59-61.
[12] 张有会.线段加权的Voronoi 图[J].计算机学报,1995,18 (11):822-829.
[13] 蔡小峰.腹地理论与腹地界定方法研究——基于南京的实例分析[D].南京:南京理工大学,2005.
[14] Sylvie M. Public infrastructure and the performance of manufacturing industries: Short and long-run effects[J]. Regional Science and Urban Economics, 2002,32(1): 97-121.
[15] 刘传明,张义贵,刘杰.城市综合交通可达性演变及其与经济发展协调度分析[J]. 经济地理,2011,31(12): 2028-2033.
[16] Gutirrez J. Location, economic potential and daily accessibility: An analysis of the accessibility impact of the high-speed line Madrid-Barcelona-French border[J]. Journal of Transport Geography, 2001,9(4):229-242.
[17] 罗鹏飞,徐逸伦,张楠楠.高速铁路对区域可达性的影响研究——以沪宁地区为例[J]. 经济地理,2004,24(3): 407-411.
[18] 曹小曙,闫小培.经济发达地区交通网络演化对通达性空间格局的影响——以广东省东莞市为例[J]. 地理研究,2003,22(3):305-312.
[19] 吴威,曹有挥,曹卫东,等.长江三角洲公路网络的可达性空间格局及其演化[J].地理学报, 2006,61(10):1065-1074.
[20] 金凤君,王娇娥.二十世纪中国铁路网扩展及其空间通达性[J].地理学报, 2004,59(2):293-302.
[21] 吴威,曹有挥,曹卫东,等.开放条件下长江三角洲区域的综合交通可达性空间[J].地理研究, 2007,26(2):391-402.
[22] Simone B, Federico M P, Silvia F, et al. Gramatica Correlations and complement arities in data and methods through Principal Components Analysis (PCA) applied to the results of the SP In-Eco-Project[J]. Atmospheric Environment, 2008,86(2):419-426.
[23] 孟德友,陆玉麒.基于铁路客运网络的省际可达性及经济联系格局[J].地理研究, 2012,31(1):107-122.
/
| 〈 |
|
〉 |