1- Professor in Urban & Regional Planning, Tarbiat Modares University, Tehran, Iran. , H-dadashpoor@modares.ac.ir
2- Graduated from Tarbiat Modares University of Tehran
3- Assistant Professor, Department of Water Resources Management, Faculty of Agriculture, Tarbiat Modares University, Tehran
2- Graduated from Tarbiat Modares University of Tehran
3- Assistant Professor, Department of Water Resources Management, Faculty of Agriculture, Tarbiat Modares University, Tehran
Abstract: (179 Views)
Urban growth boundaries are considered one of the key tools for controlling and managing the physical development of metropolitan areas. Uncontrolled and unplanned expansion in these regions has become a major challenge for urban and regional planners and managers, as this process leads to the destruction of agricultural lands and natural resources. The aim of this research is to simulate and assess future changes in growth boundaries in the Isfahan metropolitan area with the goal of preserving environmental resources and controlling physical expansion. In this regard, by adopting a positivist approach that follows an analytical and measurement-driven process, satellite imagery was utilized to assess changes in the physical expansion of the Isfahan metropolitan area. Artificial neural networks and machine learning algorithms were employed to predict the extent of future physical growth, and the projected growth boundaries were delineated. The research findings indicate that the Isfahan metropolitan area has experienced significant uncontrolled expansion, particularly in terms of physical development, over recent decades, and the reduction of agricultural and natural lands has become one of its major challenges. Based on the conducted simulations, the proposed growth boundaries can serve as an effective tool for managing and planning urban-regional development and preventing further degradation of natural resources and lands.
Keywords: growth boundaries, simulation, satellite images, machine learning, urban expansion, Isfahan metroplitan area
Subject:
planning models,techniques and methods
Received: 2025/01/3 | Accepted: 2023/03/30
Received: 2025/01/3 | Accepted: 2023/03/30
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