scholarly journals Delineation of Urban Growth Boundaries Using a Patch-Based Cellular Automata Model under Multiple Spatial and Socio-Economic Scenarios

2019 ◽  
Vol 11 (21) ◽  
pp. 6159
Author(s):  
Yang ◽  
Gong ◽  
Tang ◽  
Shen ◽  
Liu ◽  
...  
Keyword(s):  
Urban Sprawl ◽  
Urban Growth ◽  
Patch Size ◽  
Urban Land ◽  
Natural Ecosystems ◽  
Cellular Automata Model ◽  
Proposed Model ◽  
Common Strategy ◽  
Ca Model ◽  
Urban Growth Boundaries

The urban growth boundary (UGB) plays an important role in the regulation of urban sprawl and the conservation of natural ecosystems. The delineation of UGBs is a common strategy in urban planning, especially in metropolitan areas undergoing fast expansion. However, reliable tools for the delineation of informed UGBs are still not widely available for planners. In this study, a patch-based cellular automaton (CA) model was applied to build UGBs, in which urban expansions were represented as organic and spontaneous patch growing processes. The proposed CA model enables the modeler to build various spatial and socio-economic scenarios for UGB delineation. Parameters that control the patch size and shape, along with the spatial compactness of an urban growth pattern, were optimized using a genetic algorithm. A random forest model was employed to estimate the probability of urban development. Six scenarios in terms of the demand and the spatial pattern of urban land allocation were constructed to generate UGB alternatives based on the simulated urban land maps from the CA model. Application of the proposed model in Ezhou, China from 2004 to 2030 reveals that the model proposed in this study can help urban planners make informed decisions on the delineation of UGBs under different scenarios.

scholarly journals Optimization of a Novel Urban Growth Simulation Model Integrating an Artificial Fish Swarm Algorithm and Cellular Automata for a Smart City

2021 ◽  
Vol 13 (4) ◽  
pp. 2338
Author(s):  
Xinxin Huang ◽  
Gang Xu ◽  
Fengtao Xiao
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Urban Growth ◽  
Smart City ◽  
Urban Land ◽  
Urban Land Use ◽  
Growth Simulation ◽  
Artificial Fish Swarm Algorithm ◽  
Artificial Fish Swarm ◽  
Ca Model

As one of the 17 Sustainable Development Goals, it is sensible to analysis historical urban land use characteristics and project the potentials of urban sustainable development for a smart city. The cellular automaton (CA) model is the widely applied in simulating urban growth, but the optimum parameters of variables driving urban growth in the model remains to be continued to improve. We propose a novel model integrating an artificial fish swarm algorithm (AFSA) and CA for optimizing parameters of variables in the urban growth model and make a comparison between AFSA-CA and other five models, which is used to study a 40-year urban land growth of Wuhan. We found that the urban growth types from 1995 to 2015 appeared relatively consistent, mainly including infilling, edge-expansion and distant-leap types in Wuhan, which a certain range of urban land growth on the periphery of the central area. Additionally, although the genetic algorithms (GA)-CA model and the AFSA-CA model among the six models due to the distance variables, the parameter value of the GA-CA model is −15.5409 according to the fact that the population (POP) variable should be positively. As a result, the AFSA-CA model regardless of the initial parameter setting is superior to the GA-CA model and the GA-CA model is superior to all the other models. Finally, it is projected that the potentials of urban growth in Wuhan for 2025 and 2035 under three scenarios (natural urban land growth without any restrictions (NULG), sustainable urban land growth with cropland protection and ecological security (SULG), and economic urban land growth with sustainable development and economic development in the core area (EULG)) focus mainly on existing urban land and some new town centers based on AFSA-CA urban growth simulation model. An increasingly precise simulation can determine the potential increase area and quantity of urban land, providing a basis to judge the layout of urban land use for urban planners.

Validation of Cellular Automata Model of Dynamic Recrystallization

2015 ◽  
Vol 651-653 ◽  
pp. 581-586 ◽  
Author(s):  
Mateusz Sitko ◽  
Łukasz Madej ◽  
Maciej Pietrzyk
Keyword(s):  
Cellular Automata ◽  
Dynamic Recrystallization ◽  
Internal Variables ◽  
Cellular Automata Model ◽  
Proposed Model ◽  
Digital Material ◽  
Ca Model ◽  
Transition Rules ◽  
Development And Validation ◽  
Neighborhood Type

Development and validation of the micro scale cellular automata (CA) model of dynamic recrystallization (DRX) were the main goals of the present paper. Major assumptions of the developed CA DRX model, which is based on the Digital Material Representation (DMR) concept, are described. Parameters like neighborhood type, state and internal variables of the proposed model and their influence on final results are presented and discussed. Particular attention was put on description of the developed transition rules used to replicate mechanisms leading to dynamic recrystallization. Finally, obtained results in the form of flow stress curves are compared with the experimental predictions.

scholarly journals The Riyadh Urban Growth Boundary: An Analysis of the Factors Affecting its Efficiency on Restraining Sprawl

2021 ◽  
Vol 8 (3) ◽  
pp. 17-25
Author(s):  
Mohamed Saleh Amer ◽  
Mohammad Rafee Majid ◽  
Tahar A. Ledraa
Keyword(s):  
Urban Sprawl ◽  
Urban Growth ◽  
City Planning ◽  
Monitoring And Evaluation ◽  
City Development ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Riyadh City ◽  
Urban Growth Boundaries ◽  
The Cost

Recently, research on sprawl was increasing due to its impacts on the economy, society, and environment. Several studies have focused on the application of containment strategies to curb urban sprawl. Urban growth boundaries (UGBs) were among the containment policies adopted to tackle the issue of sprawling cities. This paper set out to undertake an analysis of the factors influencing the performance of the UGB of Riyadh City. A qualitative data analysis using NVivo12 software was adopted. To collect the required data of UGB, semi-structured interviews were conducted with nine experts involved in urban management, Riyadh city development, and other planning agencies. If the application of UGB policy in the western countries has managed to restrain more or less city sprawl, its replication to the case of Riyadh seems to have had some adverse impacts. That is, instead of controlling urban sprawl, it has stimulated it. The reasons may lie in the deficiency of monitoring and evaluation of urban studies, free provision of infrastructure, and lack of coordination between different city planning agencies. Understanding the factors affecting the UGB efficiency​will assist policymakers and urban planners in reducing the spread of scattered and leapfrog residential development, lowering the cost of service supply and promoting infill development

scholarly journals Urban Expansion and Growth Boundaries in an Oasis City in an Arid Region: A Case Study of Jiayuguan City, China

2019 ◽  
Vol 12 (1) ◽  
pp. 210
Author(s):  
Jun Ren ◽  
Wei Zhou ◽  
Xuelu Liu ◽  
Liang Zhou ◽  
Jing Guo ◽  
...  
Keyword(s):  
Urban Sprawl ◽  
Urban Growth ◽  
Urban Expansion ◽  
Smart Growth ◽  
Control Measures ◽  
Future Research ◽  
Rapid Urbanization ◽  
Simulation Accuracy ◽  
Effective Measure ◽  
Ca Model

China is undergoing rapid urbanization, which has caused undesirable urban sprawl and ecological deterioration. Urban growth boundaries (UGBs) are an effective measure to restrict the irrational urban sprawl and protect the green space. However, the delimiting method and control measures of the UGBs is at the exploratory stage in China. In this paper, a cellular automata model based on multi-criteria evaluation (MCE-CA) was proposed to delimit the UGBs. The MCE-CA model considers influencing factors related to urban growth and generates UGBs based on spatiotemporally dynamic simulations. The MCE-CA model was applied to generate the UGBs of Jiayuguan City in 2020 and 2030, the results show that the simulation accuracy is higher than 0.8 and the compactness increases to 0.23, which demonstrates that the MCE-CA model is an effective model for delimiting UGBs. Moreover, the MCE-CA model can corporate the contradiction between environmental protection and urban development, promoting urban smart growth and sustainable development. UGBs is an effective tool for China to realize ecological civilization construction and improve the spatial governance ability, and the MCE-CA model can be used to assist planners in delimiting future UGBs, this study provides a methodological reference for future research of UGBs in Chinese cities.

scholarly journals Urban Sprawl and Growth Prediction for Lagos Using GlobeLand30 Data and Cellular Automata Model

Sci ◽  
2020 ◽  
Vol 2 (4) ◽  
pp. 80
Author(s):  
Olalekan O. Onilude ◽  
Eric Vaz
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Urban Growth ◽  
Metropolitan Region ◽  
Change Analysis ◽  
Cellular Automata Model ◽  
Ogun State ◽  
Modeling And Prediction ◽  
Artificial Surfaces ◽  
Ca Model

Urban growth in various cities across the world, especially in developing countries, leads to land use change. Thus, predicting future urban growth in the most rapidly growing region of Nigeria becomes a significant endeavor. This study analyzes land use and land cover (LULC) change and predicts the future urban growth of the Lagos metropolitan region, using Cellular Automata (CA) model. To achieve this, the GlobeLand30 datasets from years 2000 and 2010 were used to obtain LULC maps, which were utilized for modeling and prediction. Change analysis and prediction for LULC scenario for 2030 were performed using LCM and CA_Markov chain modeling. The results show a substantial growth of artificial surfaces, which will cause further reductions in cultivated land, grassland, shrubland, wetland, and waterbodies. There was no appreciable impact of change for bare land, as its initial extent of cover later disappeared completely. Additionally, artificial surfaces/urban growth in Lagos expanded to the neighboring towns and localities in Ogun State during the study period, and it is expected that such growth will be higher in 2030. Lastly, the study findings will be beneficial to urban planners and land use managers in making key decisions regarding urban growth and improved land use management in Nigeria.

MODELING FIXED-BLOCK RAILWAY SIGNALING SYSTEM USING CELLULAR AUTOMATA MODEL

2005 ◽  
Vol 16 (11) ◽  
pp. 1793-1801 ◽  
Author(s):  
BIN NING ◽  
KE-PING LI ◽  
ZI-YOU GAO
Keyword(s):  
Cellular Automata ◽  
Time Diagram ◽  
Signaling System ◽  
Cellular Automata Model ◽  
Railway Traffic ◽  
Proposed Model ◽  
Railway System ◽  
Ca Model ◽  
Complex Phenomena ◽  
Insight Into

In this paper, we propose a new cellular automata model to simulate the railway traffic. The proposed model is based on deterministic NaSch traffic model. The signaling system adopted in this work is the three-aspect fixed-block signaling system. In order to obtain insight into the characteristic behavior of the railway signaling system, we analyze the space-time diagram of traffic flow and the trajectory of train movement etc. The simulation results demonstrate that the proposed CA model can be successfully used for the simulations of railway signaling system. Some complex phenomena observed in railway system can be reproduced.

Containing urban sprawl—Evaluating effectiveness of urban growth boundaries set by the Swiss Land Use Plan

2009 ◽  
Vol 26 (2) ◽  
pp. 224-232 ◽  
Author(s):  
Maria-Pia Gennaio ◽  
Anna M. Hersperger ◽  
Matthias Bürgi
Keyword(s):  
Land Use ◽  
Urban Sprawl ◽  
Urban Growth ◽  
Urban Growth Boundaries ◽  
Land Use Plan

scholarly journals Multi-Scenario Simulation of Urban Growth Under Integrated Urban Spatial Planning: A Case Study of Wuhan, China

2021 ◽  
Vol 13 (20) ◽  
pp. 11279
Author(s):  
Haofeng Wang ◽  
Yaolin Liu ◽  
Guangxia Zhang ◽  
Yiheng Wang ◽  
Jun Zhao
Keyword(s):  
Urban Planning ◽  
Urban Development ◽  
Urban Growth ◽  
Agricultural Land ◽  
Urban Land ◽  
Simulation Accuracy ◽  
Ca Model ◽  
Development Area ◽  
The Impact

Although many publications have noted the impact of urban planning on urban development and land-use change, the incorporation of planning constraints into urban growth simulation has not been adequately addressed so far. This study aims to develop a planning-constrained cellular automata (CA) model by combining cell-based trade-off between urban growth and natural conservation with a zoning-based planning implementation mechanism. By adjusting the preference parameters of different planning zones, multiple planning-constrained scenarios can be generated. Taking the Wuhan Urban Development Area (WUDA), China as a case study, the planning-constrained CA model was applied to simulate current and future urban scenarios. The results show a higher simulation accuracy compared to the model without planning constraints. With the weakening of planning constraints, urban growth tends to occupy more ecological and agricultural land with high conservation priority. With the increase in preference on urban growth or natural conservation, the future urban land pattern will become more fragmented. Furthermore, new urban land beyond the planned urban development area can be captured in future urban scenarios, which will provide certain early warning. The simulation of the current urban spatial pattern should help planners and decisionmakers to evaluate the past implementation of urban planning, and scenarios simulation can provide effective support for future urban planning by evaluating the consequences.

Cellular Automata Simulation on Dynamic Recrystallization of TA16 Alloy during Hot Deformation

2016 ◽  
Vol 849 ◽  
pp. 245-250 ◽  
Author(s):  
Fei Han ◽  
Rong Quan Chen ◽  
Chun Hui Yang ◽  
Xian Min Li ◽  
Ding Chun Wang
Keyword(s):  
Cellular Automata ◽  
Dynamic Recrystallization ◽  
Microstructural Evolution ◽  
Hot Deformation ◽  
Volume Fraction ◽  
Cellular Automata Model ◽  
Proposed Model ◽  
Ca Model ◽  
Strain Stress ◽  
Recrystallized Grain Size

Dynamic recrystallization is responsible for the properties of the final product of TA16 alloy in hot deformation. In this study, a cellular automata model with dynamic recrystallization (DRX-CA) was developed to simulate and predict the microstructural evolution of TA16 alloy during hot deformation with material constants obtained from hot compressive tests. The proposed model has a capability of tracking the deformation history and microstructural evolution. The numerical simulation results obtained by using the developed DRX-CA model were compared to those experimental data obtained for validation and accurately capture the relations among strain, stress, volume fraction recrystallization, recrystallized grain size and deformation temperature.

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