长江流域资源与环境 >> 2010, Vol. 19 >> Issue (03): 244-248.

• 自然资源 • 上一篇    下一篇

昆山市人口指标的数学模型

姚 鑫1,2,3| 杨桂山1,3| 孙洪波1,2,3| 万荣荣1,3   

  1. (1.中国科学院南京地理与湖泊研究所, 江苏 南京 210008|2.中国科学院研究生院, 北京 100039|3.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 江苏 南京 210008)
  • 出版日期:2010-03-20

MATHEMATICAL MODELING OF POPULATION GROWTH IN KUNSHAN

YAO Xin1,2,3, YANG Guishan1,3, SUN Hongbo1,2,3, WAN Rongrong1,3   

  1. (1.Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences, Nanjing 210008, China|2.Graduate University of Chinese Academy of Sciences, Beijing 100039, China;
     3.State Key Laboratory of Lake Science and Environment,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences, Nanjing 210008, China)
     
  • Online:2010-03-20

摘要:

数学模型常用于人口指标变化趋势的拟合, 以昆山市1985~2006年 7种人口指标为研究对象,采用马尔萨斯模型、Logistic模型和Keyfitz模型进行模拟,结合历史资料分析人口指标变化背后的社会经济因素。研究结果表明:从整体拟合效果来看,Logistic模型表现良好,但这很大程度上在于其三参数优势,而不是人口增长面临最大人口上限的压力,即使某一时段反映出人口上限,该值也可能在下一时段被突破;由于人口指标增长转折点的存在,使利用数学模型进行人口预测的可信度降低,但利用转折点分段分析,了解其代表的政治、经济因素的影响,可以为未来的规划决策提供科学参考;昆山的发展历程明显分为3个阶段,而不是以往认为的5个阶段.

关键词: 人口指标/数学模型/ 转折点

Abstract:

Mathematical models are widely used to simulate the development trend of population.In this paper,four mathematical models,named as Malthusian model,Logistic model,linear regression model and Keyfitz model were studied on their capability of modeling the historical development trend of seven population variables of Kunshan,Jiangsu Province from 1985 to 2006.Results showed that,generally,Logistic model was better than other models according to determination coefficients.Then each index was analyzed separately with an aim to explain the differences between simulated and recorded numbers.From the results,it was concluded that:1) logistic model fitted well primarily because it had three parameters while other models had two,and the additional parameter 〖WTBX〗Pm〖WTBZ〗,which should stand for the upper limit of population increasing,did not have real sense in most cases;2) the prediction of future population by the use of mathematical modeling showed unfeasible for the existence of turning points in the development trend of population variables;3) combined with historical information of the research area,turning points could give a good description on the effects of political and economic factors occurred simultaneously;4) the development course of Kunshan should be divided into three stages,the developing stage,the adjustment stage and the overall developing stage,rather than five stages generally accepted previously.

Key words: population variable/mathematical model/turning point

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