AGENT-BASED MODELING OF URBAN GROWTH WITH COMMUNICATIONS INSPIRED BY PARTICLE SWARM OPTIMIZATION ALGORITM

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KAVIARI FARNAZ; SADI MESGARI MOHAMMAD; HOSSEINALI FARHAD; VAEZI SAMANE

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Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2017 | Volume:5 | Issue:1 Page(s): 49-64

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Title

AGENT-BASED MODELING OF URBAN GROWTH WITH COMMUNICATIONS INSPIRED BY PARTICLE SWARM OPTIMIZATION ALGORITM

Author(s)

KAVIARI FARNAZ | SADI MESGARI MOHAMMAD | HOSSEINALI FARHAD | VAEZI SAMANE | Issue Writer Certificate

Keywords

URBAN GROWTHQ1

SIMULATIONQ2

AGENTQ1

PSOQ1

Abstract

Population growth, urbanization and immigration from rural areas to cities results in increasing expansion of the cities. The adequate urban development requires proper and accurate planning, such those facilities for the new areas that are provided and environmental impacts are lessened. Computer based SIMULATION and prediction of URBAN GROWTH can be assumed as a good start for urban planning. In this research, a new AGENT base SIMULATION of URBAN GROWTH is developed, in which the communication and decision of AGENTs are imitated from the Particle Swarm Optimization (PSO) algorithm. The model is tested on the URBAN GROWTH of Zanjan city- Iran between 2005 and 2015. In this model, land developers are classified into three groups of AGENTs according to their income level. These AGENTs search the environment and find proper lands for development according to their priorities and conditions. The output of the model is 74% similar to the reality according to the Kappa index. This and other results show that the model can predict the expansion of the city adequately.Moreover, the comparison made shows that modeling of the relations and communications between AGENTs similar to PSO can slightly improve the quality of the model. The results showed the adequacy of the proposed AGENT-based modelling for the SIMULATION of URBAN GROWTH. To have a more accurate model, it is recommended to model the behavior of the AGENTs with more details and also to consider the competition between AGENTs.

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APA: Copy

KAVIARI, FARNAZ, SADI MESGARI, MOHAMMAD, HOSSEINALI, FARHAD, & VAEZI, SAMANE. (2017). AGENT-BASED MODELING OF URBAN GROWTH WITH COMMUNICATIONS INSPIRED BY PARTICLE SWARM OPTIMIZATION ALGORITM. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 5(1 ), 49-64. SID. https://sid.ir/paper/230084/en

Vancouver: Copy

KAVIARI FARNAZ, SADI MESGARI MOHAMMAD, HOSSEINALI FARHAD, VAEZI SAMANE. AGENT-BASED MODELING OF URBAN GROWTH WITH COMMUNICATIONS INSPIRED BY PARTICLE SWARM OPTIMIZATION ALGORITM. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2017;5(1 ):49-64. Available from: https://sid.ir/paper/230084/en

IEEE: Copy

FARNAZ KAVIARI, MOHAMMAD SADI MESGARI, FARHAD HOSSEINALI, and SAMANE VAEZI, “AGENT-BASED MODELING OF URBAN GROWTH WITH COMMUNICATIONS INSPIRED BY PARTICLE SWARM OPTIMIZATION ALGORITM,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 5, no. 1 , pp. 49–64, 2017, [Online]. Available: https://sid.ir/paper/230084/en

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