成渝城市群对县域城镇影响区分析
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摘要
采用地理国情监测数据和统计数据,研究识别城镇的社会经济影响区范围,对成渝城市群在四川的113个县域,从城镇综合实力、可达性、影响力及城镇影响区特征进行分析。研究结果表明,形成了以覆盖成都、德阳、绵阳、眉山与资阳为核心的强影响力空间连片区,与其他县域城镇综合实力的极化现象较为突出。主要存在影响区扩展的城镇,扩展的影响区域已明显覆盖了相邻县城的影响区,较好地呈现出这部分县域经济正趋于融合,形成多极点的县域经济协同发展模式。
This study used geographic conditions monitoring data and statistical data, conducted an in-depth analysis of synthetic strength, accessibility, and influence strength and effect regions of 113 counties aloge with Chengdu-Chongqing urban agglomeration in Sichuan. The result showed that region has formed a strong influence space link area covering Chengdu, Deyang, Mianyang, Meishan and Ziyang, which showed prominent polarization on synthetic strength. The expansion and contraction of counties' effect regions were influenced by the synthetic strength, accessibility and geographic conditions. There were expansion counties in study area. These counties' effect regions obviously covered their adjacent ones.
This study used geographic conditions monitoring data and statistical data, conducted an in-depth analysis of synthetic strength, accessibility, and influence strength and effect regions of 113 counties aloge with Chengdu-Chongqing urban agglomeration in Sichuan. The result showed that region has formed a strong influence space link area covering Chengdu, Deyang, Mianyang, Meishan and Ziyang, which showed prominent polarization on synthetic strength. The expansion and contraction of counties' effect regions were influenced by the synthetic strength, accessibility and geographic conditions. There were expansion counties in study area. These counties' effect regions obviously covered their adjacent ones.
引文
[1]蒋海兵,徐建刚.基于交通可达性的中国地级以上城市腹地划分[J].兰州大学学报:自然科学版,2010,46(4):58-64,69.
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[10]张立芳,王亮,赵荣,等.基于改进场模型的城市腹地划分方法——以山东省为例[J].测绘科学,2016,41(2):62-66.
[11]冯文兰,牛晓俊.GIS支持的成都市县域城镇影响腹地的动态分析[J].现代城市研究,2016(1):72-77.
[12]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.
[13]汪珠,吴扬,金永洪.基于GIS的城市影响腹地划分及特征分析——以长江三角洲城市区域为例[J].城市规划,2010,34(10):40-43.
[14]朱康文,李月臣,刘春霞,等.基于DMSP/OLS夜间灯光数据的县域建成区的提取方法研究——以重庆市为例[J].重庆师范大学学报:自然科学版,2015(6):61-67.
[15]邓羽,刘盛和,蔡建明,等.中国中部地区城市影响范围划分方法的比较[J].地理研究,2013,32(7):1 220-1 230.
[16]王桂圆,陈眉舞.基于GIS的城市势力圈测度研究——以长江三角洲地区为例[J].地理与地理信息科学,2004,20(3):69-73.
[17]Huff,D.L.The Delineation of a National System of Planning Regions on the Basis of Urban Spheres of Influence[J].Regional Studies,1973,7(3):323-329.
[2]董晓菲,韩增林.东北沿海港口群腹地空间格局及驱动机理[J].经济地理,2016,36(5):33-39.
[3]曹小曙,李涛,杨文越,等.基于陆路交通的丝绸之路经济带可达性与城市空间联系[J].地理科学进展,2015,34(6):657-664.
[4]Morris J M,Dumble P L,Wigan M R.Accessibility indicators for transport planning.Transportation Research Part A General[J],1979,13(2):91-109.
[5]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[J].西北大学学报:自然科学版,2003,33(5):586-590.
[6]钟业喜,陆玉麒.城市影响区格局分析的定量方法—以江西省为例[J].长江流域资源与环境,2010,19(5):480.
[7]谷景祎,周廷刚,郭丽敏.基于断裂点理论与加权Voronoi图的京津冀地区城市影响范围研究[J].地理与地理信息科学,2014,30(1):65-69.
[8]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):853-858.
[9]郭丽敏,周廷刚,苏迎春.基于加权Voronoi图的城市腹地界定方法研究——以成渝经济圈为例[J].地球信息科学学报,2014.16(3):411-417.
[10]张立芳,王亮,赵荣,等.基于改进场模型的城市腹地划分方法——以山东省为例[J].测绘科学,2016,41(2):62-66.
[11]冯文兰,牛晓俊.GIS支持的成都市县域城镇影响腹地的动态分析[J].现代城市研究,2016(1):72-77.
[12]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.
[13]汪珠,吴扬,金永洪.基于GIS的城市影响腹地划分及特征分析——以长江三角洲城市区域为例[J].城市规划,2010,34(10):40-43.
[14]朱康文,李月臣,刘春霞,等.基于DMSP/OLS夜间灯光数据的县域建成区的提取方法研究——以重庆市为例[J].重庆师范大学学报:自然科学版,2015(6):61-67.
[15]邓羽,刘盛和,蔡建明,等.中国中部地区城市影响范围划分方法的比较[J].地理研究,2013,32(7):1 220-1 230.
[16]王桂圆,陈眉舞.基于GIS的城市势力圈测度研究——以长江三角洲地区为例[J].地理与地理信息科学,2004,20(3):69-73.
[17]Huff,D.L.The Delineation of a National System of Planning Regions on the Basis of Urban Spheres of Influence[J].Regional Studies,1973,7(3):323-329.