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Research on Jiuquan-Jiayuguan-Yumen Region's Dynamic Changing of Urbanization Based on Self-Organizing Model

机译:基于自组织模型的酒泉-嘉yu关-玉门地区城市化动态变化研究

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摘要

Based on the self-organizing modeling principle in the dissipative structure theory, the paper regards the migration coupling between the regions as the influence factor to create the model of regional urbanization simulation and prediction, which is more practical to simulate the space-time and dynamic evolvement characteristics of regional urbanization level. According to the historical data about the population and urbanization of Jiuquan, Jiayuguan and Yumen cities, the past 50 years' dynamic evolvement trend is simulated and the following 50 years' dynamic evolvement trend is predicted with the urbanization dynamic evolvement model based on the self-organizing model. The analysis of effective factors such as economic increase, resources exploitation, ecosystem construction,traffic location, national policies, population migration are given, then the reasons of the dynamic evolvement differences of the three cities' urbanization are drawn.The study suggests that the self-organizing model is fit for the simulation of Jiuquan-Jiayuguan-Yumen regional urbanization level in the past 50 years, and the departure between the stimulant and the actual data is under 5%, so it can be used to predict the urbanization future of the three cities. The predicted results show that the regional population will reach 1.074 million and the regional urbanization level will be 72.56%.
机译:基于耗散结构理论中的自组织建模原理,以区域之间的迁移耦合为影响因素,建立了区域城市化模拟与预测模型,对时空动态变化的模拟更为实用。区域城市化水平的演变特征。根据酒泉市,嘉yu关市和玉门市人口和城市化的历史数据,模拟了过去50年的动态演变趋势,并根据基于自发性的城市化动态演变模型预测了未来50年的动态演变趋势。组织模型。通过对经济增长,资源开发,生态系统建设,交通区位,国家政策,人口迁移等有效因素的分析,得出了三座城市化动态演变差异的原因。 -组织模型适合于酒泉-嘉yu关-玉门地区近50年来的区域城市化水平模拟,刺激物与实际数据之间的偏离在5%以下,可用于预测该地区的城市化未来三个城市。预测结果表明,该地区人口将达到107.4万人,城镇化水平将达到72.56%。

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