scholarly journals A Multitarget Land Use Change Simulation Model Based on Cellular Automata and Its Application

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jun Yang ◽  
Fei Chen ◽  
Jianchao Xi ◽  
Peng Xie ◽  
Chuang Li
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Simulation Model ◽  
Land Use Planning ◽  
Driving Mechanism ◽  
Mutual Transformation ◽  
Land Resource ◽  
Simulation Accuracy ◽  
Model Based

Based on the analysis of the existing land use change simulation model, combined with macroland use change driving factors and microlocal land use competition, and through the application of Python language integrated technical approaches such as CA, GIS, AHP, and Markov, a multitarget land use change simulation model based on cellular automata(CA) is established. This model was applied to conduct scenario simulation of land use/cover change of the Jinzhou New District, based on 1:10000 map scale land use, planning, topography, statistics, and other data collected in the year of 1988, 2003, and 2012. The simulation results indicate the following: (1) this model can simulate the mutual transformation of multiple land use types in a relatively satisfactory way; it takes land use system as a whole and simultaneously takes the land use demand in the macrolevel and the land use suitability in the local scale into account; and (2) the simulation accuracy of the model reaches 72%, presenting higher creditability. The model is capable of providing auxiliary decision-making support for coastal regions with the analysis of the land use change driving mechanism, prediction of land use change tendencies, and establishment of land resource sustainable utilization policies.

Simulation Model Based on Agents for Land Use Change and Cost‐Benefit Analysis of Land Management Policies

2021 ◽  
pp. 107-114
Author(s):  
Armando Sánchez Vargas ◽  
D. Martínez Ventura ◽  
C. Gay García ◽  
A. L. Herrera Merino ◽  
Bernardo Olvera
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Simulation Model ◽  
Land Management ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
Model Based ◽  
Management Policies

scholarly journals Dinamika Perencanaan Tata Guna Lahan di Kabupaten Kediri

2020 ◽  
Vol 006 (03) ◽  
pp. 431-438
Author(s):  
Ninda Adisti Putri
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Land Use Planning ◽  
Rapid Development ◽  
Accuracy Rate ◽  
Industrial Land ◽  
Planning Policy ◽  
New Methods ◽  
Spatial Plan

The imbalance between the needs with sufficient land, meanwhile, needs to be compared with land requirements. Kediri Regency has the potential for rapid development. This is a challenge to the existing land use planning policy in Kediri Regency. This study aims to predict the dynamics of land use change in Kediri Regency until 2030. The prediction model was built using the Cellular Automata approach based on an analysis of land use change trends from 2009 to 2018 taking into account the weight of the driving factors obtained using the AHP method. The results of modeling validation show an accuracy rate of 96.26%. The result is that in 2030 there will be a significant increase in the use of industrial land and warehousing of 331.56 Ha and settlements of 3650.94 Ha in Kediri Regency. But there are still mismatches between the dynamics of the regional spatial plan to be a challenge going forward in order to achieve the goals of the expected development. Modeling using Cellular Automata can be applied as an alternative to new methods in spatial policy evaluation.

scholarly journals Forecasting the land use change of urban coastal area in Banda Aceh and its impact on urban sustainability using LandUseSIM cellular automata simulation model.

2020 ◽  
Vol 9 (3) ◽  
pp. 120-131
Author(s):  
Issana Meria Burhan ◽  
Ashfa Achmad ◽  
Putra Rizkiya ◽  
Zainuddin Hasan
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Simulation Model ◽  
Coastal Area ◽  
Urban Sustainability ◽  
Development Trend ◽  
Current Data ◽  
The Impact ◽  
Banda Aceh

The dynamics of urban development, followed by various opportunities and challenges for different social groups, indicate a growing sense of complexity, unpredictability, and insecurity about cities and emphasis a need to identify new sustainability strategies. This paper aims at predicting the land-use change of urban coastal areas in Banda Aceh and its impact on urban sustainability. It used an urban simulation model using Cellular Automata (CA), integrated into a LanduseSIM platform. There were three main steps as part of the research methodology: (1) preparation of current data on land uses (2015), (2) simulation of data using CA in LanduseSIM software, and (3) visualization of data and result. Accordingly, the final simulation of the year 2030 was completed, in two scenarios, as the basis to evaluate the impact of land-use change on urban sustainability in Banda Aceh. The study has revealed that the current development trend in the coastal area of Banda Aceh is consuming natural resources such as wetlands and vegetation, driven particularly by the planning of urban coastal region as a center of tourism and fishery, complemented by the upcoming Banda Aceh Outer-Ring Road project. The study recommends a reconsideration of the city strategies by decision-makers to achieve sustainability and ensure ecological balance.

A GIS-Based Irregular Cellular Automata Model of Land-Use Change

2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Spatial Data ◽  
Cellular Automata Model ◽  
Population Growth Rates ◽  
Asynchronous Development ◽  
Canadian City ◽  
Ca Model ◽  
Developing Area

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.

scholarly journals Multi-Scenario Prediction of Intra-Urban Land Use Change Using a Cellular Automata-Random Forest Model

2021 ◽  
Vol 10 (8) ◽  
pp. 503
Author(s):  
Hang Liu ◽  
Riken Homma ◽  
Qiang Liu ◽  
Congying Fang
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Land ◽  
Urban Land Use ◽  
Random Forest Model ◽  
Growth Trend ◽  
Related Factors ◽  
Forest Model

The simulation of future land use can provide decision support for urban planners and decision makers, which is important for sustainable urban development. Using a cellular automata-random forest model, we considered two scenarios to predict intra-land use changes in Kumamoto City from 2018 to 2030: an unconstrained development scenario, and a planning-constrained development scenario that considers disaster-related factors. The random forest was used to calculate the transition probabilities and the importance of driving factors, and cellular automata were used for future land use prediction. The results show that disaster-related factors greatly influence land vacancy, while urban planning factors are more important for medium high-rise residential, commercial, and public facilities. Under the unconstrained development scenario, urban land use tends towards spatially disordered growth in the total amount of steady growth, with the largest increase in low-rise residential areas. Under the planning-constrained development scenario that considers disaster-related factors, the urban land area will continue to grow, albeit slowly and with a compact growth trend. This study provides planners with information on the relevant trends in different scenarios of land use change in Kumamoto City. Furthermore, it provides a reference for Kumamoto City’s future post-disaster recovery and reconstruction planning.

scholarly journals Multi-Temporal Built-Up Grids of Brazilian Cities: How Trends and Dynamic Modelling Could Help on Resilience Challenges?

2021 ◽  
Vol 13 (2) ◽  
pp. 748
Author(s):  
Iana Rufino ◽  
Slobodan Djordjević ◽  
Higor Costa de Brito ◽  
Priscila Barros Ramalho Alves
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Cellular Automata ◽  
Land Use Change ◽  
Spatial Pattern ◽  
Urban Growth ◽  
Spatial Information ◽  
Dynamic Modelling ◽  
Urban Models ◽  
Extreme Hazards

The northeastern Brazilian region has been vulnerable to hydrometeorological extremes, especially droughts, for centuries. A combination of natural climate variability (most of the area is semi-arid) and water governance problems increases extreme events’ impacts, especially in urban areas. Spatial analysis and visualisation of possible land-use change (LUC) zones and trends (urban growth vectors) can be useful for planning actions or decision-making policies for sustainable development. The Global Human Settlement Layer (GHSL) produces global spatial information, evidence-based analytics, and knowledge describing Earth’s human presence. In this work, the GHSL built-up grids for selected Brazilian cities were used to generate urban models using GIS (geographic information system) technologies and cellular automata for spatial pattern simulations of urban growth. In this work, six Brazilian cities were selected to generate urban models using GIS technologies and cellular automata for spatial pattern simulations of urban sprawl. The main goal was to provide predictive scenarios for water management (including simulations) and urban planning in a region highly susceptible to extreme hazards, such as floods and droughts. The northeastern Brazilian cities’ analysis raises more significant challenges because of the lack of land-use change field data. Findings and conclusions show the potential of dynamic modelling to predict scenarios and support water sensitive urban planning, increasing cities’ coping capacity for extreme hazards.

scholarly journals Landscape pattern and economic factors’ effect on prediction accuracy of cellular automata-Markov chain model on county scale

2020 ◽  
Vol 12 (1) ◽  
pp. 626-636
Author(s):  
Wang Song ◽  
Zhao Yunlin ◽  
Xu Zhenggang ◽  
Yang Guiyan ◽  
Huang Tian ◽  
...  
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Cellular Automata ◽  
Markov Model ◽  
Prediction Accuracy ◽  
Driving Mechanism ◽  
Economic Factors ◽  
Chain Model ◽  
The Impact ◽  
County Scale

AbstractUnderstanding and modeling of land use change is of great significance to environmental protection and land use planning. The cellular automata-Markov chain (CA-Markov) model is a powerful tool to predict the change of land use, and the prediction accuracy is limited by many factors. To explore the impact of land use and socio-economic factors on the prediction of CA-Markov model on county scale, this paper uses the CA-Markov model to simulate the land use of Anren County in 2016, based on the land use of 1996 and 2006. Then, the correlation between the land use, socio-economic data and the prediction accuracy was analyzed. The results show that Shannon’s evenness index and population density having an important impact on the accuracy of model predictions, negatively correlate with kappa coefficient. The research not only provides a reference for correct use of the model but also helps us to understand the driving mechanism of landscape changes.

scholarly journals A Cellular Automata Model for Integrated Simulation of Land Use and Transport Interactions

2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Studies ◽  
Particle Swarm Algorithm ◽  
Cellular Automata Model ◽  
Integrated Simulation ◽  
The Road ◽  
Ca Model ◽  
The City

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.

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