Abstract
In recent years, the growth of urbanization in the world is increasing. This almost leads to irreversible changes that affect biodiversity, ecosystems, and climate change. The aim of this research is to provide different urban growth scenarios that can be considered for sustainable urban development strategies. We have proposed the HSCS (Human Settlement Capacity SLEUTH) model which is based on SLEUTH urban growth simulation. This model leads to the acquisition of new urban areas in the form of a number of pixels on which urbanization is supposed to take place. We have defined a building classification and have estimated population growth, and by adding these two parameters to our model, we have improved the simulation results. These parameters also helped us to define different growth scenarios and to calculate the height of the buildings as the third dimension according to each scenario. In parallel, the footprints of buildings have been created in the new urban pixels by considering some urban constraints, such as the direction of the buildings, the distance to urban entities and geographical features. These building footprints take height values according to the defined scenarios, and so we have simulated a three-dimensional model of the city. This model has been applied on a small city called Saint Sulpice la Pointe which has a significant rate of population growth and urban sprawl during the last two decades. The 3D representation of the urban growth provides disparate images of city of tomorrow for its application in urban.
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El Meouche, R., Eslahi, M., Ruas, A., Sammuneh, M.A. (2021). 3D Urban Growth Simulation Using Human Settlement Capacity SLEUTH Model (HSCS). In: Grueau, C., Laurini, R., Ragia, L. (eds) Geographical Information Systems Theory, Applications and Management. GISTAM 2020. Communications in Computer and Information Science, vol 1411. Springer, Cham. https://doi.org/10.1007/978-3-030-76374-9_4
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