地球信息科学学报 ›› 2013, Vol. 15 ›› Issue (3): 321-327.doi: 10.3724/SP.J.1047.2013.00321

• 本期要文(可全文下载) •    下一篇

协同空间模拟与优化及其在快速城市化地区的应用

黎夏   

  1. 中山大学地理科学与规划学院,广州510275
  • 收稿日期:2013-04-01 修回日期:2013-05-01 出版日期:2013-06-25 发布日期:2013-06-17
  • 通讯作者: 黎夏, E-mail:lixia@mail.sysu.edu.cn E-mail:lixia@mail.sysu.edu.cn
  • 作者简介:黎夏(1962-),男,博士,教授,主要从事城市扩展模拟、遥感定量研究与应用。E-mail:lixia@mail.sysu.edu.cn

Collaborative Spatio- simulation and Optimization and Its Application in Fast Growing Regions

LI Xia   

  1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2013-04-01 Revised:2013-05-01 Online:2013-06-25 Published:2013-06-17

摘要:

空间过程分析和模拟是当前的研究热点之一,而以往的空间优化多是以静态的城市空间进行的,没有考虑城市的动态变化情况。本文在此基础上将模拟和优化同时进行,提出了协同空间模拟与优化的概念。以公共设施空间选址、路径覆盖优化、自然保护区规划及城市能源消耗情景模拟为例,证实了协同空间模拟与优化在快速城市化地区应用的可行性与实用性。

关键词: 空间模拟, 空间优化, 协同, 蚁群优化算法

Abstract:

Spatial process analysis and simulation is one of the hot research areas. However, spatio-optimization is usually based on static patterns which ignore the dynamic process. This paper discusses the concept of collaborative space simulation and optimization and then provides the examples on how simulation and optimization can be integrated. The examples include optimal site selection for public facilities, path coverage optimization, nature reserve planning and scenarios simulation for urban energy consumption. Results show that this proposed method can be successfully applied especially for the fast growing regions.

Key words: ant colony optimization, spatial simulation, spatial optimization, collaboration