Iterative Cellular Automation Approach to Analyze Spatial Dynamics of Urbanization and Population Growth
Urooj Saeed 1, 2  
,   Sajid Rashid Ahmad 1  
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College of Earth and Environmental Sciences, University of the Punjab Lahore, Pakistan
Urban Sector Planning and Management Services Unit (Pvt.) Limited, Pakistan
Urooj Saeed   

University of the Punjab, Pakistan
Submission date: 2020-08-21
Final revision date: 2020-12-21
Acceptance date: 2020-12-21
Online publication date: 2021-08-31
Population measurement and its spatial distribution are required to understand the urban pattern of any city. We have used a methodology for measuring urban spatial morphology, infill, outlying expansion, and compactness over a decade. The aims of this research are related to data-driven categorization often large cities of Punjab and its correlation with urban attributes by identifying relative disparities in expansion and vertical growths; instead of city portfolios exerted and/or perceived by various groups of relevant urban stakeholders. Urban extents and sprawls were identified by using Geospatial data and techniques by applying supervised parameter optimization. The analytical tool was employed to highlight and better understand the relative (hierarchical) position of selected cities of Punjab, Pakistan. The results depict that the total urban area of selected cities has increased in ten years (2008-2018) from 914 km2 to 1649 km2. The cities’ saturation level helped to identify highly densified and the cities where the potential of infill is available. This study provides an effective and efficient way to monitor and evaluate the morphology of the cities and addresses the issues of mismanaged urban sprawl and decreasing densities.