The question was never
“Which neighborhood has good water?”
Greater Amman operates within a broadly constrained water environment. The more useful question is where additional development pressure may interact most strongly with those constraints — and where better local evidence should be collected first.
Amman Water Intelligence was created to explore that question using publicly available evidence.
“Location intelligence should make uncertainty clearer — not hide it behind a score.”
The project deliberately preserves data-resolution limits and separates screening evidence from household or building-level claims.
A screening framework built from six layers of public evidence.
The result is an Integrated Exposure screening framework used to identify where deeper investigation may be most valuable — not a final verdict on any single location.
A screen, not a prediction.
Abdelrahman Tuffaha
Abdelrahman Tuffaha is an International Accounting and Finance student at the American University of Madaba with interests in real estate, location intelligence, urban development, and business strategy.
He created Amman Water Intelligence as an independent research project to explore how publicly available data can support better development and location decisions in water-constrained markets.
The project evolved from an initial proof of concept into an eight-location Greater Amman screening framework.
Better local evidence, not a more complicated score.
The current framework identifies where deeper investigation should begin. Future development of the project would focus on finer utility, network, building, and site-level evidence.