2019
DOI: 10.1016/j.apgeog.2019.02.011
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Simulating the urban growth of a predominantly informal Ghanaian city-region with a cellular automata model: Implications for urban planning and policy

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Cited by 29 publications
(12 citation statements)
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“…The implementation of appropriate urban planning and land use management is vital to curb the excessive sprawling into the neighboring rural communities on the one hand and overcrowding in the core city areas on the other hand. To this end, urban stakeholders, especially city administrators and urban planners, can consider implementing effective urban planning strategies through the establishment of new subcenters and the development of road infrastructure [33,72,[77][78][79]. Thus, a future study could assess the role of various urban decision-makers in the land-use change processes of urban areas.…”
Section: Discussionmentioning
confidence: 99%
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“…The implementation of appropriate urban planning and land use management is vital to curb the excessive sprawling into the neighboring rural communities on the one hand and overcrowding in the core city areas on the other hand. To this end, urban stakeholders, especially city administrators and urban planners, can consider implementing effective urban planning strategies through the establishment of new subcenters and the development of road infrastructure [33,72,[77][78][79]. Thus, a future study could assess the role of various urban decision-makers in the land-use change processes of urban areas.…”
Section: Discussionmentioning
confidence: 99%
“…In this paper, we apply such an integrated CA-MC model with an AHP process for the purpose of modeling and predicting the geographies of the urban expansion around Bahir Dar, Ethiopia. We argue that the results of this research can help policymakers to implement more coherent and sustainable urban planning strategies as it allows us to capture both past and likely future trends.In spite of Mundia and Murayama [32] affirming the applicability of the CA-MC model in developing countries, mainly due to the absence of reliable and accurate data, it has been rarely employed for analyzing Africa's urban expansion [12,23,32,33]. Against this backdrop, the primary objective of this research is to model and dissect the nature and geographies of urban expansion on LUCs in Bahir Dar by combining an integrated CA-MC model and the AHP technique of expert surveys.…”
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confidence: 99%
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“…Many statistical and geospatial‐based models, such as the cellular automata (CA) (Aburas et al., 2016; Mitsova et al., 2011), the agent‐based model (Mustafa et al., 2017; Tian et al., 2016), Markov chain analysis (Rimal et al., 2017), principal components analysis (Feng & Liu, 2013), artificial neural networks (Li & Yeh, 2002), linear regression (Arsanjani et al., 2013), fractal‐based models (Jat et al., 2017), and logistic regression (LR) (Mustafa et al., 2017), have been developed to evaluate and forecast urban growth. Among these established models, CA has become a popular and effective tool to describe the complex dynamics and ecological consequences of urban sprawl (Abolhasani & Taleai, 2019; Tong & Feng, 2019a; Tripathy & Kumar, 2019), which is widely used to investigate urbanization in Asia (Feng et al., 2016; Liu et al., 2018; Tian et al., 2016), Africa (Agyemang & Silva, 2019), Europe (Basse et al., 2016), Australia (Lu, Laffan, et al, 2019), and the North and South America (Guzman et al., 2020) because of its simple rules, low resource consumption, fast running speed, powerful complex calculation function, and strong capabilities in simulating the temporal and spatial dynamic evolution of complex spatial systems (Aburas et al., 2016).…”
Section: Introductionmentioning
confidence: 99%
“…However, most of these models still face the challenges of representing the complexity of an urban system. The cellular automata (CA) model is a powerful tool for reproducing and simulating the urban expansion process due to its simplicity, flexibility, and intuitiveness (Agyemang & Silva, 2019;Tripathy & Kumar, 2019). In addition, various future urban expansion scenarios were generated by modifying the parameters in the CA models, which can simulate the consequences of decisions that follow different development strategies.…”
Section: Introductionmentioning
confidence: 99%