Urban sustainability in developing countries’ megacities: modelling and predicting future urban growth in Lagos
This report models and predicts future urban growth in Lagos, Nigeria, using dynamic spatial models to address urban sustainability in developing countries' megacities.
(Generated with the help of GPT-4)
Methods
The research method involved a dynamic spatial model prototype to simulate urban growth. The model integrated land-use factors with a dynamic approach, calibrated using spatial metrics and Kappa coefficients. A twenty-year simulation was run to predict future urban land-use scenarios.
(Generated with the help of GPT-4)
Key Insights
The report examines urban sustainability in African megacities, focusing on Lagos, Nigeria. It discusses the need for tools to provide prospective urban scenarios and describes a dynamic spatial model prototype used to simulate Lagos's urban growth until 2020. The model integrates land-use factors with a dynamic approach, using spatial metrics and Kappa coefficients for calibration. The simulation results are realistic and confirm the model's effectiveness, contributing to the European Commission’s MOLAND project on urban management.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: 2020 time horizon | 2020s time horizon | English publication language | Lagos geographic scope | Nigeria geographic scope | dynamic spatial models | environmental impact | land-use scenarios | population growth | spatial metrics | sustainability | urban growth | urban planning | urban simulation | urban sprawl | urban sustainability