Evaluating the impacts of policies and investments on displacement in the Bay Area
This project is studying the the impacts of a variety of policies and investments on displacement at the regional scale in the Bay Area. Such policies and investments will include tenant protections policies – such as rent stabilization and just cause for eviction ordinances – and investments – such as new market rate construction, as well as subsidized housing development. This project is funded by the Chan Zuckerberg Initiative, and will be carried out in collaboration with Stanford University and Federal Reserve Bank of San Francisco.
Examining the unintended effects of climate change mitigation: a new tool to predict investment-related displacement
This project is examining the unintended effects of climate change mitigation on investment-related displacement, focusing on three regions: the Bay Area, Los Angeles, and Fresno county. This research will estimate the relationship between displacement pressures and California’s climate mitigation strategies, policies and the investments made possible by the Cap and Trade program in order to create tools that state agencies can to use to predict and mitigate the displacement impacts of future investments. The project is funded by Strategic Growth Council, and partners include Stanford University, Federal Reserve Bank of San Francisco, Public Advocates, Public Counsel, California Housing Partnership and Leadership Counsel.
Data strategy for California's Department of Housing and Community Development
For this project, UDP is working with the California Department of Housing and Community Development to develop a statewide data strategy. By assessing local jurisdictions' current data practices and policy landscapes, this work will promote innovative housing strategies and inform policy making related to disaster and pandemic response and recovery.
Housing Precarity Risk Model
The Housing Precarity Risk Model (HPRM) identifies neighborhood level resiliency to economic and environmental shocks by measuring the risk of eviction, displacement, unemployment, and COVID-19 pre-existing conditions. The aim of this work is to better understand racial and economic disparities in housing and opportunities while providing state and local governments a tool to target needed resources to those that need it most. This project is funded by c3.ai.