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article · International Journal of Research Publication and Reviews

Quantifying Urban Sprawl: An Examination of Spatial Measurement and Metrics

20241 citationOpen accessRivers State University

Abstract

Urban sprawl, a multifaceted phenomena, provides a significant problem in contemporary urban planning and development. This paper looks into the intricate environment of urban sprawl by exploring multiple spatial measurement approaches and metrics. Understanding and measuring the magnitude, patterns, and implications of urban sprawl need a complex approach considering numerous geographical indicators and assessment tools. Through a thorough assessment of literature, this study synthesizes the approaches used to quantify and describe urban sprawl, spanning metrics relating to land use, transportation networks, population distribution, and environmental concerns. The exploration begins with defining the notion of urban sprawl and its expressions, realizing its ramifications on socio-economic structures, environmental sustainability, and quality of life. Subsequently, a complete review of spatial measuring methodologies is offered, ranging from traditional metrics like population density, land consumption rates, and land-use shifts to more advanced spatial indices such as fractal dimensions, compactness indices, and sprawl matrices. Furthermore, the paper covers the subtleties involved in determining acceptable measurements depending on diverse urban environments and the limits inherent in these measuring methodologies. It also addresses the improvements of remote sensing technology and Geographic Information Systems (GIS), underlining their usefulness in delivering accurate and detailed spatial data for sprawl analysis. The synthesis of these techniques intends to give urban planners, policymakers, and researchers with a holistic understanding of the spatial metrics available for measuring urban sprawl.

Research topics

  • Land Use and Ecosystem Services
  • Remote Sensing and Land Use

Sustainable Development Goals

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DOI: 10.55248/gengpi.5.0124.0240

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