Data Solutions Lab
Building Tools for Better Decisions
The Data Solutions Lab develops data-centric tools for housing and land use modeling, empowering policymakers, researchers, and advocates to make informed decisions.
Modeling Policy Impacts
Housing Policy Simulator
Test how raising height limits, changing the number of units allowed, or reducing setback requirements will independently and collectively affect what types of housing gets built at the neighborhood, city, or county-wide scale.
Understand financial feasibility and overall likelihood of development across building types, zoning types, or neighborhoods within an area. Identify bottlenecks and simulate how changes to fees, timelines, and incentives could spur certain types of housing development.
Measure how policy changes could differentially affect housing production close to transit, in communities at risk of displacement, in fire risk areas or across a host of other important considerations.
Where we work
To put our data to use, we work with academic and research institutions around the country who combine Simulator analyses with understanding of local needs and priorities. Working with local research partners ensures that the Simulator's models are considered holistically. Simulators are currently in progress in other states - if you're interested in partnering, reach out to us at [email protected].
- Tucson
- Phoenix
- Flagstaff
- San Diego
- San Jose
- Arcata
- San Mateo
- Los Angeles
- San Francisco
- Visalia
- San Bernardino
- Stockton
- Fresno
- Glendale
- Santa Monica
- Unincorporated San Diego County
- Denver
- Fort Collins
- Charlotte
- Durham
- Raleigh
- Fairfax County
- Richmond
- Charlottesville
- Arlington
partner with us
The Terner Housing Policy Simulator translates complex datasets into clear, actionable insights, enabling local leaders to test scenarios before implementing real-world reforms.
Interested in using the Simulator to explore a policy question, or for a research project? We'd love to hear from you.