Quantifying Spatiotemporal Patterns and Major Explanatory Factors of Urban Expansion in Miami Metropolitan Area During 1992–2016

Authors: Shaikh Abdullah Al Rifat*, Florida Atlantic University, Weibo Liu, Florida Atlantic University
Topics: Land Use and Land Cover Change, Remote Sensing, Spatial Analysis & Modeling
Keywords: urban expansion, remote sensing and GIS, expansion types and rates, major explanatory factors, Miami metropolitan area
Session Type: Paper
Day: 4/8/2020
Start / End Time: 9:35 AM / 10:50 AM
Room: Terrace, Sheraton, IM Pei Tower, Terrace Level
Presentation File: No File Uploaded


Urban expansion is one of the most dramatic forms of land transformation in the world and it is one of the greatest challenges in achieving sustainable development in the 21st century. Previous studies analyzed urbanization patterns in areas with rapid urban expansion while urban areas with low to moderate expansion have been overlooked, especially in developed countries. In this study, we examined the spatiotemporal dynamics of urban expansion patterns in South Florida, United States (US) over the last 25 years (1992–2016) by quantifying the rates, types, intensity, landscape metrics, and major explanatory factors of urban expansion in this region using Remote Sensing and GIS techniques. We further investigated the urban growth patterns at the county and city areas that are located within this MSA to portray the local ‘picture’ of urban growth in this region. Urban expansion in this region can be divided into two time periods: pre-2001 and post-2001 where the former experienced rapid urban expansion and the later had comparatively slow urban expansion. Infilling was found as the dominant type of urban expansion followed by edge-expansion and outlying. Results from landscape metrics suggest that newly developed urban lands became more aggregated and simplified in form and new urban lands were generated away from the east coast and historic cities which eventually created new urban cores. Population and Distance to Coast were the strongest variables followed by Distance to Roads and Median Income that influence overall urban expansion in the study area.

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