Simulating Scenarios of Future Intra-Urban Land-Use Expansion Based on the Neural Network–Markov Model: A Case Study of Lusaka, Zambia

Simulating Scenarios of Future Intra-Urban Land-Use Expansion Based on the Neural Network–Markov Model: A Case Study of Lusaka, Zambia

Forecasting scenarios of future intra-urban land-use (intra-urban-LU) expansion can help to curb the historically unplanned urbanization in cities in sub-Saharan Africa (SSA) and promote urban sustainability. In this study, we applied the neural network–Markov model to simulate scenarios of future i...

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Bibliographic Details
Main Authors: Matamyo Simwanda, Yuji Murayama, Darius Phiri, Vincent R. Nyirenda, Manjula Ranagalage
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
intra-urban land use
artificial neural network
Markov model
modeling and simulation
scenario analysis
Lusaka
Online Access:https://www.mdpi.com/2072-4292/13/5/942

Internet

https://www.mdpi.com/2072-4292/13/5/942

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