A review of the application and implications of cellular automata-based urban growth model in africa

被引:0
作者
Fitawok, Melaku Bogale [1 ,2 ,3 ,5 ]
Minale, Amare Sewnet [4 ]
机构
[1] Bahir Dar Univ, Dept Econ, Bahir Dar, Ethiopia
[2] Univ Bologna, Dept Econ, Bologna, Italy
[3] Univ Ghent, Dept Geog, Ghent, Belgium
[4] Bahir Dar Univ, Dept Geog & Environm Studies, Bahir Dar, Ethiopia
[5] Bahir Dar Univ, Dept Econ, HaileSelassie St, Bahir Dar 1002, Ethiopia
关键词
Africa; cellular automata; sustainability; urbanization; urban growth model; LAND-USE CHANGE; MARKOV-CHAIN; METROPOLITAN CITY; SPATIAL-PATTERNS; COVER CHANGES; URBANIZATION; EXPANSION; CITIES; PREDICTION; DETERMINANTS;
D O I
10.1080/03736245.2024.2308909
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
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.
引用
收藏
页码:290 / 308
页数:19
相关论文
共 94 条
  • [1] Improving the capability of an integrated CA-Markov model to simulate spatio-temporal urban growth trends using an Analytical Hierarchy Process and Frequency Ratio
    Aburas, Maher Milad
    Ho, Yuek Ming
    Ramli, Mohammad Firuz
    Ash'aari, Zulfa Hanan
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 59 : 65 - 78
  • [2] The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: A review
    Aburas, Maher Milad
    Ho, Yuek Ming
    Ramli, Mohammad Firuz
    Ash'aari, Zulfa Hanan
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 52 : 380 - 389
  • [3] Modeling of urban change using remote sensing data and cellular automata technique
    Abutaleb, K.
    Ahmed, F.
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (15)
  • [4] A novel approach for predicting the spatial patterns of urban expansion by combining the chi-squared automatic integration detection decision tree, Markov chain and cellular automata models in GIS
    Al-sharif, Abubakr A. A.
    Pradhan, Biswajeet
    [J]. GEOCARTO INTERNATIONAL, 2015, 30 (08) : 858 - 881
  • [5] Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS
    Al-sharif, Abubakr A. A.
    Pradhan, Biswajeet
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (10) : 4291 - 4301
  • [6] Urban Land Cover Change Modelling Using Time-Series Satellite Images: A Case Study of Urban Growth in Five Cities of Saudi Arabia
    Alqurashi, Abdullah E.
    Kumar, Lalit
    Sinha, Priyakant
    [J]. REMOTE SENSING, 2016, 8 (10)
  • [7] [Anonymous], 2014, WORLD URBANIZATION P, DOI [10.4054/DemRes.2005.12.9, DOI 10.4054/DEMRES.2005.12.9]
  • [8] [Anonymous], 2016, WORLDS CITIES 2016, DOI [10.18356/8519891f-en, DOI 10.18356/8519891F-EN]
  • [9] Factors contributing to spatial inequality in academic achievement in Ghana: Analysis of district-level factors using geographically weighted regression
    Ansong, David
    Ansong, Eric K.
    Ampomah, Abena O.
    Adjabeng, Bernice K.
    [J]. APPLIED GEOGRAPHY, 2015, 62 : 136 - 146
  • [10] Appiah DO, 2017, GEOSCIENCES, V7, DOI 10.3390/geosciences7040125