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| 基于城镇用地和最小时间成本的城市影响区划分及其人口分析 | |
| 引用本文： | 李俊,董锁成,李泽红,黄永斌,陈艳晓.基于城镇用地和最小时间成本的城市影响区划分及其人口分析[J].地理科学,2016,36(7):1036-1042. |
| 作者姓名： | 李俊 董锁成 李泽红 黄永斌 陈艳晓 |
| 作者单位： | 1. 安徽工业大学商学院, 安徽 马鞍山 243032 2. 中国科学院地理科学与资源研究所, 北京 100101 3. 安徽大学经济学院, 安徽 合肥 230039 |
| 基金项目： | 国家自然科学基金项目（41271556）资助 |
| 摘 要： | 以宁蒙沿黄地带为案例,基于城镇用地和最小交通时间成本划分城市影响区,分区统计影响区人口,将其与城市行政区非农人口的增速差进行统计分析。结果表明：基于城镇用地和最小交通时间成本的城市影响区划分边界更接近于行政区界;考虑城镇用地后大城市影响区扩展,考虑最小交通时间成本后小城市影响区相对扩展;以东胜区-伊旗为中心的地区非农人口增速始终显著高于潜在服务人口增速,这类城市应增强对周边县的扩散作用;以大武口-惠农区为中心的地区非农人口增速始终显著低于潜在服务人口增速,这类城市应加速产业与非农人口集聚。 |
| 关 键 词： | 城市影响区 最小时间成本 引力模型 潜在服务人口 宁蒙沿黄地带 |
| 收稿时间： | 2015-10-15 |
| 修稿时间： | 2015-12-20 |
Urban Influential Spheres and Its Population Based on Urban Land and Minimum Time Cost |
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| Jun Li,Suocheng Dong,Zehong Li,Yongbin Huang,Yanxiao Chen.Urban Influential Spheres and Its Population Based on Urban Land and Minimum Time Cost[J].Scientia Geographica Sinica,2016,36(7):1036-1042. | |
| Authors: | Jun Li Suocheng Dong Zehong Li Yongbin Huang Yanxiao Chen |
| Institution: | 1. School of Business, Anhui University of Technology, Maanshan 243032, Anhui, China 2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 3. School of Economics, Anhui University, Hefei 230039, Anhui, China |
| Abstract: | Considering ignore of traditional urban influential spheres on population analysis, population analysis was made on non-agricultural and influential population growth rate difference, by introducing urban land and minimum time cost to extend current urban influential spheres research, better to instruct urban system planning. Base on minimum time cost, taking urban land area as urban source, urban influential spheres were delineated, by contrast with traditional Voronoi diagram based on point and polygon source. Then based on urban influential spheres, combined with population grid data and urban administrative non-agricultural population, non-agricultural and influential population growth rate difference was calculated and its mean and standard error analysis on non-agricultural and influential population growth rate difference were made to make a deeper exploration on effects of urban land and minimum time cost on urban influential spheres delineation. By employing Getis statistical index of non-agricultural and influential population growth rate difference, cities with significant non-agricultural and influential population growth rate difference were recognized, so special suggestion could be made for each type of city. A case study on the areas along Huanghe River in Ningxia and Inner Mongolia Autonomous Region in 1990, 2000 and 2010, showed after introducing minimum time cost and urban land, edges of urban influential spheres were more exact like urban administrative edges, compared to traditional point and polygon Voronoi diagram; taking urban land instead of urban point as urban source, larger city’s influential sphere was larger, while traffic seemed to narrow the gap between large and small city’s influential sphere which meant traffic helped to enlarge small city’s influential spheres and reduce large city’s spheres; Dongsheng and Yijinhuoluo Counties were typical of cities whose potentially served population grew slower than administrative non-agricultural population, so this type of urban needed to enhance diffusion effect on nearby counties, while as for cities like Dawukou and Huinong whose potentially served population grew faster than non-agricultural population, infrastructure construction emphasis should be placed on aggregation of industry and attracted more population from nearby counties. This work could provide an alternative technique for urban system planning. |
| Keywords: | urban influential spheres minimum time cost gravity model potentially served population the areas along Huanghe River in Ningxia and Inner Mongolia Autonomous Region |
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