地理科学 ›› 2017, Vol. 37 ›› Issue (4): 537-545.doi: 10.13249/j.cnki.sgs.2017.04.007
收稿日期:
2016-06-03
修回日期:
2016-08-04
出版日期:
2017-04-25
发布日期:
2020-12-09
作者简介:
作者简介:刘润姣(1987-),女,湖南长沙人,博士研究生,主要从事城市规划和智能体建模研究。E-mail:
基金资助:
Liu Runjiao1,2(), Jiang Difei3, Shi Lei3
Received:
2016-06-03
Revised:
2016-08-04
Online:
2017-04-25
Published:
2020-12-09
Supported by:
摘要:
为应对现代城市发展在用地资源分配和生态环境保护上遇到的巨大挑战,研究在综合复杂系统理论、城市经济学以及地理信息系统等多种学科技术的前提下,应用多智能体建模软件NetLogo构建了一个以“由下至上”运行机制为主的城市用地拓展模型,通过不同微观个体之间的互动反馈行为来实现对圣地亚哥城市宏观用地布局的模拟,并应用逐点比对和整体比对两种不同的精度检验方法来测算模型分析结果的准确性;针对当前模型研究存在的问题和未来可能的改进方向进行了归纳分析。
中图分类号:
刘润姣, 蒋涤非, 石磊. 基于多智能体建模技术的城市用地时空演化研究[J]. 地理科学, 2017, 37(4): 537-545.
Liu Runjiao, Jiang Difei, Shi Lei. Urban Land Use Development Research Based on Multi-agent Simulation System[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(4): 537-545.
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