Using arcGIS and satellite images, I studied the spatial distribution of urban features in existing slums in India.
This information helped me develop a model that could help predict where urban slums may develop in the future.
A predictive model is necessary because slums are formed through unplanned
Predicting future slum locations and growth will allow policymakers, government officials, and NGOs to create a plan, whether it is through affordable housing, healthcare, education, or basic infrastructure for urban growth.
The project was done into two parts, a macro exploration that looked at India as a whole and a micro exploration that looked at a subsection of Mumbai. For Mumbai's subsection, my predictive variables were railways, highways, greenspace, and railroad cross (four-point) or star (five-point) intersections.