TY  - JOUR
PY  - 2022//
TI  - Modeling demographic relocation in response to climate risk factors and gentrification displacement pressures
JO  - Transportation research record
A1  - Roy, Sneha
A1  - Vinayak, Pragun
A1  - Von Stroh, David
SP  - 688
EP  - 703
VL  - 2676
IS  - 1
N2  - Climate risk factors, including wildfire, sea level rise, inland flooding, and extreme heat, as well as gentrification displacement pressures will be primary drivers of migration in the coming years. Travel demand modeling relies on reasonable and appropriate forecasts of demographic totals at the detail of travel analysis zones. <br><br>METHODologies for developing scenarios in response to individual and combined climate risk factors are described, drawing on work undertaken for the Southern California Association of Governments SoCal Regional Climate Adaptation Framework. <br><br>METHODologies for developing scenarios in response to gentrification displacement pressures of low-income workers are described, drawing on work carried out for the California Statewide Freight Forecasting and Travel Demand Model. These methodologies leverage modeling tools that are readily available to agencies, allowing for rapid testing of scenarios and integration with other planning processes. Climate adaptation and housing policy, respectively, are currently in need of greater integration and coordination. Future directions are explored to integrate these methodologies and create a combined demographic relocation model, sensitive to both climate risk factors and the affordability and gentrification displacement pressures arising out of shifting demand-supply dynamics and population-job balance in high growth areas.<p />  <p>Language: en</p>
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/10.1177/03611981211036367
ID  - ref1
ER  -