Spatiotemporal analysis of urban growth of five global cities using remote sensing, population estimates and GDP growth
Date
2017
Authors
Strydom, Jacobus
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Abstract
This study used an object orientated image nearest neighbour classification method
to quantify the urban area extent of five global cities over a period of 25 years. The
cities analysed were Cairo (Egypt), Delhi (India), Dhaka (Bangladesh), Lagos
(Nigeria) and Shanghai (China). The observations were made every 5 years from
1990 to 2015, six observations for each city using Landsat 5, 7 and 8 imagery.
The accuracy assessment process resulted in a minimum average overall accuracy
of 78.29% and a kappa coefficient of 72.88% and a maximum average overall
accuracy of 83.4% and a maximum kappa coefficient of 80.46%.
The classification results were used to quantify the size of the urban footprint of each
of the cities. These results were used to analyse the relationship between UN
population estimates and physical urban growth. A Pearson’s correlation and a
regression analysis, for each city and its population estimates, were used to further
analyse the relationship. All the regression models resulted in a correlation
coefficient of above 0.95 except for Dhaka with 0.868. All the regression analysis
models had an R2 above 0.90, except Dhaka at 0.77. The results showed that the
population estimates do not follow the urban area growth trends and a weak
relationship was identified.
The quantified size of the urban footprint was also used to analyse the relationship
between GDP growth, as estimated by the World Bank and physical urban growth. A
Pearson’s correlation and a regression analysis was performed for each city and its
population estimates, to further analyse the relationship. All the regression models
resulted in a correlation coefficient of above 0.90. Regression analysis models all
had an R2 greater than 0.90, except Cairo at 0.81 and India at 0.89. The analysis
pointed to a weak positive relationship. The results also indicated a complex
relationship between economic growth and urban growth for all five cities and their
countries. A potential lag effect between economic growth and urban area growth
was identified. These results showed that there is indeed the relationship between
urban growth and economic growth, though in all five cases the relationship is weak.
The fact that these results differ between the countries also indicate that the
relationship is highly complex.
Description
A research report submitted in partial fulfilment of the requirements for the degree of Master of Science. to the Faculty of Science, University of the
Witwatersrand, Johannesburg, 2017.
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Citation
Strydom, Jacobus (2017) Spatiotemporal analysis of urban growth of five global cities using remote sensing, population estimates and GDP growth, University of the Witwatersrand, Johannesburg, https://hdl.handle.net/10539/25036