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Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

Postal Subscription Code 80-905

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Front. Eng    2014, Vol. 1 Issue (4) : 395-401    https://doi.org/10.15302/J-FEM-2014058
ENGINEERING MANAGEMENT REPORTS
Optimization of Land-use Based on the Theory of Cellular Automata and Value of Ecosystem Services
Lian-fu Jiang,Guo-xian Xu,Hao Jiang()
Shenzhen University, Shenzhen 518060, China
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Abstract

The main objective of the study was to confirm the location and configuration of “Habitat Conservation Area” in Dongguan City. The land utilization condition in the target city was simulated using Arc GIS and Geo SOS software basing on multi-criteria decision model of Cellular Automata (CA). Both the simulation result and accuracy satisfied well the basic requirements. In addition to multi-criteria decision model, space optimization technique was used as well in simulation experiments.
Keywords Ecosystem service function      optimization of land use      Cellular Automata (CA)     
Corresponding Author(s): Hao Jiang   
Online First Date: 17 April 2015    Issue Date: 07 May 2015
 Cite this article:   
Lian-fu Jiang,Guo-xian Xu,Hao Jiang. Optimization of Land-use Based on the Theory of Cellular Automata and Value of Ecosystem Services[J]. Front. Eng, 2014, 1(4): 395-401.
 URL:  
https://academic.hep.com.cn/fem/EN/10.15302/J-FEM-2014058
https://academic.hep.com.cn/fem/EN/Y2014/V1/I4/395
D is To City D is To Highway D is To Railway D is To Road
D is To City 1 1/3 1/5 3
D is To Highway 3 1 1/3 3
D is To Railway 5 3 1 5
D is To Road 1/3 1/3 1/5 1
Tab.1  Parameters Table of the Variable Weight
Fig.1  The parameters settings of the multiple criteria the model calibration.
Fig.2  The land use type settings.
Fig.3  The status and simulation results of Dongguan City land use (2001–2006).
The number of units that the actual non-urban land was simulated as the non-urban land The number of units that the actual non-urban land was simulated as the urban land The simulation accuracy of the actual non-urban land use The number of units that the actual urban land was simulated as the non-urban land The number of units that the actual urban land was simulated as the urban land The simulation accuracy of the actual urban land use Total accuracy
164,312 24,594 97.3% 37,519 42,495 53.1% 83.1%
Tab.2  Analog Data Analysis Table
Fig.4  The initial distribution image of optimization.
Fig.5  The final distribution image of optimization.
Fig.6  The simulation results of the multiple criteria to determine cellular automata.
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