Multi-agent systems for simulating spatial decision behaviors and land-use dynamics

Xiaoping Liu; Xia Li; Gar On Yeh Anthony

doi:10.1007/s11430-006-1184-9

Multi-agent systems for simulating spatial decision behaviors and land-use dynamics

Xiaoping Liu^*
, Xia Li
, Gar On Yeh Anthony

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

41 Scopus citations

Abstract

A new method to simulate urban land-use dynamics is proposed based on multi-agent systems (MAS). The model consists of a series of environmental layers and multi-agent layers, which can interact with each other. It attempts to explore the interactions between different players or agents, such as residents, property developers, and governments, and between these players and the environment. These interactions can give rise to urban macro-spatial patterns. This model is used to simulate the land-use dynamics of the Haizhu district of Guangzhou City in 1995-2004. Cellular automata (CA) were also used for the simulation of land use changes as a comparison. The study indicates that MAS has better performance for simulating complex cities than CA.

Original language	English
Pages (from-to)	1184-1194
Number of pages	11
Journal	Science in China, Series D: Earth Sciences
Volume	49
Issue number	11
DOIs	https://doi.org/10.1007/s11430-006-1184-9
State	Published - Nov 2006
Externally published	Yes

Keywords

Cellular automata
Cities
Complex systems
Land use
Multi-agent systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s11430-006-1184-9

Cite this

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title = "Multi-agent systems for simulating spatial decision behaviors and land-use dynamics",

abstract = "A new method to simulate urban land-use dynamics is proposed based on multi-agent systems (MAS). The model consists of a series of environmental layers and multi-agent layers, which can interact with each other. It attempts to explore the interactions between different players or agents, such as residents, property developers, and governments, and between these players and the environment. These interactions can give rise to urban macro-spatial patterns. This model is used to simulate the land-use dynamics of the Haizhu district of Guangzhou City in 1995-2004. Cellular automata (CA) were also used for the simulation of land use changes as a comparison. The study indicates that MAS has better performance for simulating complex cities than CA.",

keywords = "Cellular automata, Cities, Complex systems, Land use, Multi-agent systems",

author = "Xiaoping Liu and Xia Li and Anthony, \{Gar On Yeh\}",

year = "2006",

month = nov,

doi = "10.1007/s11430-006-1184-9",

language = "英语",

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journal = "Science in China, Series D: Earth Sciences",

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T1 - Multi-agent systems for simulating spatial decision behaviors and land-use dynamics

AU - Liu, Xiaoping

AU - Li, Xia

AU - Anthony, Gar On Yeh

PY - 2006/11

Y1 - 2006/11

N2 - A new method to simulate urban land-use dynamics is proposed based on multi-agent systems (MAS). The model consists of a series of environmental layers and multi-agent layers, which can interact with each other. It attempts to explore the interactions between different players or agents, such as residents, property developers, and governments, and between these players and the environment. These interactions can give rise to urban macro-spatial patterns. This model is used to simulate the land-use dynamics of the Haizhu district of Guangzhou City in 1995-2004. Cellular automata (CA) were also used for the simulation of land use changes as a comparison. The study indicates that MAS has better performance for simulating complex cities than CA.

AB - A new method to simulate urban land-use dynamics is proposed based on multi-agent systems (MAS). The model consists of a series of environmental layers and multi-agent layers, which can interact with each other. It attempts to explore the interactions between different players or agents, such as residents, property developers, and governments, and between these players and the environment. These interactions can give rise to urban macro-spatial patterns. This model is used to simulate the land-use dynamics of the Haizhu district of Guangzhou City in 1995-2004. Cellular automata (CA) were also used for the simulation of land use changes as a comparison. The study indicates that MAS has better performance for simulating complex cities than CA.

KW - Cellular automata

KW - Cities

KW - Complex systems

KW - Land use

KW - Multi-agent systems

UR - https://www.scopus.com/pages/publications/33846484261

U2 - 10.1007/s11430-006-1184-9

DO - 10.1007/s11430-006-1184-9

M3 - 文章

AN - SCOPUS:33846484261

SN - 1006-9313

VL - 49

SP - 1184

EP - 1194

JO - Science in China, Series D: Earth Sciences

JF - Science in China, Series D: Earth Sciences

IS - 11

ER -

Multi-agent systems for simulating spatial decision behaviors and land-use dynamics

Abstract

Keywords

UN SDGs

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