TEAM
Housing Price/Affordability Prediction
Jonathan Scott
We could use public housing market data (maybe with just a few cities in mind) to build a model that predicts future housing prices across the city and identifies the areas most at risk for becoming unaffordable.
One resource includes the Housing and Transportation (H+T) Affordability Index: https://htaindex.cnt.org/map/#. As well as other data that might be sourced by the US Department of the Treasury on Rent, House Prices, and Demographics.
I imagine some possible business cases that could apply include:
- Cities' governments wanting to avoid urban sprawl/flight or housing shortages. Change zoning laws or enact other policies to keep residents housed and closer to the center.
- Developers who want to have a better understanding where demand for housing might shift.
- Urban planners could better plan for the types of transportation and services required by its residents.