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Urban Growth Modeling Using PSO
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S. Mohammady   , M. R. Delavar |
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Abstract: (5050 Views) |
| World urban population has been dramatically increased from 22.9% in 1985 to 47% in 2010 which has caused an unprecedented urban environmental degradation and shortage of adequate urban infrastructure needed to support the population. Efforts have been made to predict potential urban developments in accordance with the existing and/or planned infrastructure based on smart city development plans. The problem analysis, planning and monitoring phases of sustainable urban management policies require reliable information and practical methods on the urban environment and its dynamics. Land use change aims to understand the dynamic processes, and therefore interpretability of models is becoming crucial. In this research, PSO method as a meta-heuristic method has been employed for urban land use change modeling. The study area is Tehran metropolis, capital of Iran. Landsat imageries acquired at 1988 and 2000 were used to compare the urban changes and to build and test our model. This study has considered a number of influencing factors to predict potential urban land use change modeling. Distance to principle roads, distance to residence regions, distance to fault, number of urban cell in a 3 by 3 window, distance to city center and slope have been considered as principle parameters affecting land use change. Percent Area Match (PAM) and Relative Operative Curve (ROC) obtained from modeling of these changes were 1.2579 and 0.6448, respectively. |
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| Keywords: Urban Growth, Modeling, PSO |
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Full-Text [PDF 490 kb]
(1380 Downloads)
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Type of Study: Research |
Subject:
GIS
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