Unravelling the dynamics behind the urban morphology of port-cities using a LUTI model based on cellular automata

2022 ◽  
Vol 92 ◽  
pp. 101733
Author(s):  
Aditya Tafta Nugraha ◽  
Ben J. Waterson ◽  
Simon P. Blainey ◽  
Frederick J. Nash
Keyword(s):  
Cellular Automata ◽  
Urban Morphology ◽  
Port Cities ◽  
Model Based

scholarly journals Simulation of AIDS Spread Model Based on Cellular Automata

2015 ◽  
Author(s):  
Jiatai Gang ◽  
Sisi Liu ◽  
Jian Lu ◽  
Zhiwei Zhao ◽  
Xinxin Tan
Keyword(s):  
Cellular Automata ◽  
Model Based ◽  
Spread Model

scholarly journals Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework

2019 ◽  
Vol 8 (10) ◽  
pp. 454 ◽  
Author(s):  
Junfeng Kang ◽  
Lei Fang ◽  
Shuang Li ◽  
Xiangrong Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Cellular Automata ◽  
Markov Model ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Remote Sensing Images ◽  
Mapreduce Framework ◽  
Construction Land ◽  
Model Based

The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model. In this research, we designed a parallel CA-Markov model based on the MapReduce framework. The model was divided into two main parts: A parallel Markov model based on MapReduce (Cloud-Markov), and comprehensive evaluation method of land-use changes based on cellular automata and MapReduce (Cloud-CELUC). Choosing Hangzhou as the study area and using Landsat remote-sensing images from 2006 and 2013 as the experiment data, we conducted three experiments to evaluate the parallel CA-Markov model on the Hadoop environment. Efficiency evaluations were conducted to compare Cloud-Markov and Cloud-CELUC with different numbers of data. The results showed that the accelerated ratios of Cloud-Markov and Cloud-CELUC were 3.43 and 1.86, respectively, compared with their serial algorithms. The validity test of the prediction algorithm was performed using the parallel CA-Markov model to simulate land-use changes in Hangzhou in 2013 and to analyze the relationship between the simulation results and the interpretation results of the remote-sensing images. The Kappa coefficients of construction land, natural-reserve land, and agricultural land were 0.86, 0.68, and 0.66, respectively, which demonstrates the validity of the parallel model. Hangzhou land-use changes in 2020 were predicted and analyzed. The results show that the central area of construction land is rapidly increasing due to a developed transportation system and is mainly transferred from agricultural land.

An urban flood inundation model based on cellular automata

2019 ◽  
Vol 13 (3) ◽  
pp. 221 ◽  
Author(s):  
Saman Armal ◽  
Rafea Al Suhili
Keyword(s):  
Cellular Automata ◽  
Flood Inundation ◽  
Urban Flood ◽  
Model Based ◽  
Inundation Model

Development of 1D–2D Urban Flood Simulation Model Based on Modified Cellular Automata Approach

2021 ◽  
Vol 26 (2) ◽  
pp. 04020065
Author(s):  
Hamed Tavakolifar ◽  
Hossein Abbasizadeh ◽  
Sara Nazif ◽  
Ebrahim Shahghasemi
Keyword(s):  
Cellular Automata ◽  
Simulation Model ◽  
Flood Simulation ◽  
Urban Flood ◽  
Model Based
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