This research investigated the spatiotemporal dynamics of urban process since the 1990s and future potential urban development. Remote sensing and GIS, land-change intensity analysis, MSPA, fieldwork techniques, and land-change modeling were applied mainly in order to characterize the urban process and predict the future urban development potentials.Results indicated that the urban land in the CMA has increased over the last two decades (1992-2014) with a higher area dominance of sparse growth. The ULU change prediction results revealed that the ULU would increase into 53,510 ha in 2030. The major transport corridors and the growth nodes will have a great influence in the future spatial patterns of urban growth, and the urban lands will be dense due to infill development. Prediction results further indicated that there are some limitations in introduced urban planning scenarios of the government’s master plan due to its less consideration regarding the spatial pattern of future urban growth pattern. Thus, the consideration of the results of this research will be important in forming future urban planning scenarios.
This empirical study not only has identified past, present and potential future urban process, but also introduced new methods and techniques that can be applied to detect the urban process in a data-sparse urban environment, which is advantageous for developing countries.