TY - JOUR
T1 - Quantifying spatial patterns of urbanization
T2 - growth types, rates, and changes in Addis Ababa City from 1990 to 2020
AU - Busho, Seifu Woldemichael
AU - Wendimagegn, Getinet Teshome
AU - Muleta, Alexander Takele
N1 - Funding Information:
We would like to express our gratitude to our anonymous reviewers and our editor. Without their genuine and insightful comments, our research would not be as well developed. We are also thankful to United States Geological Survey (USGS) for giving online access to their Landsat data.
Publisher Copyright:
© 2021, Korean Spatial Information Society.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - Urban patterns have shown that shifts in the social, economic, and geographical features of an area result in metropolitan growth, planned or otherwise. Rapid urbanization takes a toll on the ecological makeup of the environment and the wellbeing of humans at multiple levels. Thus, this study was drafted to quantify urban growth rates, types, and changes, with regards to urbanization patterns from 1990 to 2020. It tries to evaluate whether Addis Ababa’s urban expansion conforms to the diffusion-coalescence theory using remote sensing data. The Spatio-temporal pattern and changing aspects of the built-up land were examined using urban growth types, spatial metrics, and a gradient method. The last decade evidenced the most pronounced growth within a buffer distance of 10 to 22 km from the city center. Edge expansion was the most dominant form of growth across all three decades with more than 61% of new development each. Infill and outlying growth showed decadal variability with an alternating dominance. The Spatio-temporal investigation confirmed that the urban class and growth types remained consistent. The team concluded that diffusion and coalescence are two simultaneously occurring phases of urban growth rather than two dichotomous successive phases. Spatio-temporal patterns and the dynamic behavior of spatial metrics are instrumental in comprehending the urban growth process and cycle. Moreover, the results can aid in assessing the land use planning policy as well as to guide future land use planning.
AB - Urban patterns have shown that shifts in the social, economic, and geographical features of an area result in metropolitan growth, planned or otherwise. Rapid urbanization takes a toll on the ecological makeup of the environment and the wellbeing of humans at multiple levels. Thus, this study was drafted to quantify urban growth rates, types, and changes, with regards to urbanization patterns from 1990 to 2020. It tries to evaluate whether Addis Ababa’s urban expansion conforms to the diffusion-coalescence theory using remote sensing data. The Spatio-temporal pattern and changing aspects of the built-up land were examined using urban growth types, spatial metrics, and a gradient method. The last decade evidenced the most pronounced growth within a buffer distance of 10 to 22 km from the city center. Edge expansion was the most dominant form of growth across all three decades with more than 61% of new development each. Infill and outlying growth showed decadal variability with an alternating dominance. The Spatio-temporal investigation confirmed that the urban class and growth types remained consistent. The team concluded that diffusion and coalescence are two simultaneously occurring phases of urban growth rather than two dichotomous successive phases. Spatio-temporal patterns and the dynamic behavior of spatial metrics are instrumental in comprehending the urban growth process and cycle. Moreover, the results can aid in assessing the land use planning policy as well as to guide future land use planning.
KW - Addis ababa
KW - Remote sensing data
KW - Spatial metrics
KW - Spatiotemporal patterns
KW - Urban growth
KW - Urban growth type
UR - http://www.scopus.com/inward/record.url?scp=85101146429&partnerID=8YFLogxK
U2 - 10.1007/s41324-021-00388-4
DO - 10.1007/s41324-021-00388-4
M3 - Article
AN - SCOPUS:85101146429
SN - 2366-3294
VL - 29
SP - 699
EP - 713
JO - Spatial Information Research
JF - Spatial Information Research
IS - 5
ER -