Modeling wildfire mobility response: Using a data-driven approach to optimal resource allo — NSF Award to University of California
This project examines the effects of natural disasters on the mobility of individuals. Owing to impacts on critical infrastructure and local economies, people often change how and where they move following natural disasters. Understanding these changes is important for emergency response and long-term urban resilience
| Award title | Modeling wildfire mobility response: Using a data-driven approach to optimal resource allo |
|---|---|
| Award ID | 2522441 |
| Awardee | University of California-Santa Barbara |
| City | SANTA BARBARA |
| State | CA |
| Amount obligated | $522,462 |
| Principal investigator | Somayeh Dodge |
| Program | Human-Envi & Geographical Scis |
| Start date | 10/01/2025 |
| Abstract | This project examines the effects of natural disasters on the mobility of individuals. Owing to impacts on critical infrastructure and local economies, people often change how and where they move following natural disasters. Understanding these changes is important for emergency response and long-term urban resilience planning. In this project, the researchers develop advanced computational solutions based on spatial analytics and locational data, such as information from mobile phones, to study |
| Source | NSF Awards |
$799/mo
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