MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA

被引：3
|
作者：
Zeng, Y. [1 ,2 ]
Huang, W. [3 ]
Jin, W. [1 ,2 ]
Li, S. [3 ]
机构：
[1] Cent S Univ, Sch Geosci & Infophys, Changsha 410083, Hunan, Peoples R China
[2] Cent S Univ, Ctr Geomat & Sustainabal Dev Res, Changsha 410083, Hunan, Peoples R China
[3] Ryerson Univ, Dept Civil Engn, Toronto, ON M5B 2K3, Canada
来源：
XXIII ISPRS CONGRESS, COMMISSION VIII | 2016年 / 41卷 / B8期
基金：
美国国家科学基金会;
关键词：
Multi-agent; Simulation; Optimization allocation; Urban; Land use; Chang-Zhu-Tan agglomeration; Central China; CELLULAR-AUTOMATA; MODEL; OPTIMIZATION; EXPANSION; DYNAMICS; PATTERNS;
D O I：
10.5194/isprsarchives-XLI-B8-1089-2016
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.
引用
收藏
页码：1089 / 1092
页数：4
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