A review of the application and implications of cellular automata-based urban growth model in Africa
Datos Bibliográficos
| ID | 21540596 |
|---|---|
| Autores | Melaku Bogale Fitawok (0000-0003-0325-3815, Bahir Dar University, autor de correspondencia), Amare Sewnet Minale (0000-0002-2626-7112, Bahir Dar University) |
| Año | 2024 |
| Volumen | 106 |
| Número | 3 |
| Páginas | 290-308 |
| Fecha de publicación | 2024-07-02 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | South African Geographical Journal (JOURNAL) |
| Identificadores de la revista | ISSN: 0373-6245 • E-ISSN: 2151-2418 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03736245.2024.2308909 |
| OpenAlex | W4391282506 |
| Idioma | EN |
| Referencias citadas | 87 |
Africa’s urbanization rate has quadrupled from 14% in 1950 to about 44% in 2022. A variety of urban growth models have been used to measure and monitor urbanization, its drivers and implications for urban planning and sustainability. This paper reviews the performance of various Cellular Automata (CA)-based urban growth models and their implications for the urbanization processes in Africa. To this end, we employ a systematic review approach to identify the final 18 articles published in Web of Science-indexed journals until 2022. Our review found that the CA-based urban growth model has been successfully used in Africa to track the impacts of urban growth, assess different city growth scenarios and compare the performance of various CA-integrated models. Yet, most of the reviewed CA-based studies have focused on more urbanized regions of the continent. The result also reveals that integrating the CA model with other statistical methods improves its broader application and practicality than a conventional CA model. Our findings give planners, policymakers, and other urban stakeholders a more in-depth understanding of the challenges of unplanned urbanization and the need for meaningful participation from urban stakeholders in city growth and sustainable land use management that balances urban growth and the environment
Cellular automaton · Economic geography · Economics · Geography · Growth model · Mathematical economics · Regional science · Computer Science · Land Use and Ecosystem Services · Urban and Rural Development Challenges · Urban Design and Spatial Analysis · Artificial Intelligence
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Cellular automata models for the simulation of real-world urban processes
Future urban land expansion and implications for global croplands
Urban expansion and form changes across African cities with a global outlook
The Size, Scale, and Shape of Cities
African Urbanisation and Urbanism
Global land use change, economic globalization, and the looming land scarcity
Modeling and prediction of expected informal growth in the Greater Cairo Region, Egypt
Spatiotemporal patterns of urban land use change in the rapidly growing city of Lusaka, Zambia
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Urbanization in Africa
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Transdisciplinary research in sustainability science
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Agent-based model simulations of future changes in migration flows for Burkina Faso
Urbanization and economic growth
Modelling urban change with cellular automata
Modeling Spatial Processes of Urban Growth in African Cities
Spatial determinants of urban land use change in Lagos, Nigeria
Will urban farming survive the growth of African cities
The regulatory framework, unplanned development and urban poverty
The pitfalls of regional delineations in land use modeling
Africa’s urbanisation
Development of a cellular automata model using open source technologies for monitoring urbanisation in the global south
Spatial disintegration and arable land security in Egypt
Analyzing the impact of land expropriation program on farmers' livelihood in urban fringes of Bahir Dar, Ethiopia
Cellular Automata and Fractal Urban Form
The Determinants of Urban Population Growth in Sub-Saharan Africa
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |