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

页码：1089 / 1092

页数：4

共 13 条

[1] Modeling human decisions in coupled human and natural systems: Review of agent-based models [J].

An, Li .

ECOLOGICAL MODELLING, 2012, 229 :25-36

[2] An agent-based model for optimal land allocation (AgentLA) with a contiguity constraint [J].

Chen, Yimin ;

Li, Xia ;

Liu, Xiaoping ;

Liu, Yilun .

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2010, 24 (08) :1269-1288

[3] Optimizing urban land use allocation for planners and real estate developers [J].

Haque, Afsana ;

Asami, Yasushi .

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2014, 46 :57-69

[4] Modeling urban expansion scenarios by coupling cellular automata model and system dynamic model in Beijing, China [J].

He, Chunyang ;

Okada, Norio ;

Zhang, Qiaofeng ;

Shi, Peijun ;

Zhang, Jingshui .

APPLIED GEOGRAPHY, 2006, 26 (3-4) :323-345

[5] The impact of urban expansion on agricultural land use intensity in China [J].

Jiang, Li ;

Deng, Xiangzheng ;

Seto, Karen C. .

LAND USE POLICY, 2013, 35 :33-39

[6] Neural-network-based cellular automata for simulating multiple land use changes using GIS [J].

Li, X ;

Yeh, AG .

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2002, 16 (04) :323-343

[7] China's land resources and land-use change: insights from the 1996 land survey [J].

Lin, GCS ;

Ho, SPS .

LAND USE POLICY, 2003, 20 (02) :87-107

[8] Spatial and temporal patterns of China's cropland during 1990-2000: An analysis based on Landsat TM data [J].

Liu, JY ;

Liu, ML ;

Tian, HQ ;

Zhuang, DF ;

Zhang, ZX ;

Zhang, W ;

Tang, XM ;

Deng, XZ .

REMOTE SENSING OF ENVIRONMENT, 2005, 98 (04) :442-456

[9] Combining system dynamics and hybrid particle swarm optimization for land use allocation [J].

Liu, Xiaoping ;

Ou, Jinpei ;

Li, Xia ;

Ai, Bin .

ECOLOGICAL MODELLING, 2013, 257 :11-24

[10] A multi-type ant colony optimization (MACO) method for optimal land use allocation in large areas [J].

Liu, Xiaoping ;

Li, Xia ;

Shi, Xun ;

Huang, Kangning ;

Liu, Yilun .

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2012, 26 (07) :1325-1343

← 1 2 →