Urbanization puts pressure on socio-economic and environmental aspects worldwide. Spatial factors play a
pivotal role in driving this urbanization; for instance, geographical features, proximity to socio-economic
services, and government zoning regulations are spatial determinants discussed in the literature. The purpose
of this study is to understand the spatial determinants of urbanization based on building footprints.
The Google Open Building Dataset has been used for retrieving building footprints. Additionally, 26
dependent variables were collected from various sources. Road networks were extracted from OSMnx, and
geographical data were collected from Google Earth Engine. Points of interest for proximity estimation were
gathered from the Debre Markos municipality, and some socio-economic data were collected through a
survey of 385 respondents, which were then interpolated to the entire area. The independent variables are
categorized as geographical, proximity, socio-economic, and governmental regulation factors. About 25,000
training samples were extracted from each variable to train the models.
Two methods were employed in this research: the binary logistic regression and the machine-learning model
of XGBoost. Binary logistic regression was employed for its interpretability, while XGBoost was employed
for its superior data management and prediction accuracy. According to the results of the area under the
curve (AUC) for accuracy measurement, logistic regression achieved 0.73, and XGBoost achieved 0.82.
However, the data fit the model in both cases. Distance from road, building height zone, road network
density, and slope are among the top factors determining urban building footprint. This implies that the
likelihood of building has increased near roads. The results of building-height zoning show that local
government regulations affect the likelihood of building, and a model result on slope also indicates that
topography is a significant determinant of urbanization. EVERYBODY PLANS ... SOMETIMES. Cherish Heritage, Plan Now, Create a Better Future! Proceedings of REAL CORP 2026, 31st International Conference on Urban Development and Regional Planning in the Information Society, 829-838