Prediction-Adaptation-Resilience (PAR) approach- A new pathway towards future resilience and sustainable development of urban landscape

Abstract

Urban land-use planning, especially in the peripheral region, has become an issue in contemporary urban studies. Simultaneously, urban resilience is very indispensable for future urban land use planning and management. Therefore, consistent urban proliferation can be coped through Prediction-Adaptation-Resilience (PAR), to accomplish future urban land use and sustainable development of any growing up urban areas worldwide. Therefore, different dynamic simulation models, e.g. Cellular automata-Markov model, artificial neural network, are used to project and predict any urban areas' spatial growth. Then, the adaptation strategies are taken to assess the urban land use transformation in the past and present context. Those strategies help to strengthen urban land use planning using an integrated supply and demand chain. Finally, this study checks the resilience of how much it will be threatened or saved for future sustainable urban developmental goals and urban resilience. Therefore, it is important to establish a conceptual framework to achieve Sustainable Development Goals (SDGs) based on principles of the PAR approach. Advocating the on-going adaptation of sustainability, resilience, and rapid urban transformation in the developing cities requires clear and explicit definitions that are embedded with the recent and particular context. Thus, government and policy makers should draw their attention to make proper urban landscape planning and adaptation strategies for the future urban expansion in a holistic way by maintaining appropriate urban resilience.