Abstract
Evacuation is an effective and commonly taken strategy to minimize death and injuries from an incoming hurricane. For decades, interdisciplinary research has contributed to a better understanding of evacuation behavior. Evacuation destination choice modeling is an essential step for hurricane evacuation transportation planning. Multiple factors are identified associated with evacuation destination choices, in which long-term social factors have been found essential, yet neglected, in most studies due to difficulty in data collection. This study utilized long-term human movement records retrieved from Twitter to (1) reinforce the importance of social factors in evacuation destination choices, (2) quantify individual-level familiarity measurement and its relationship with an individual’s destination choice, (3) develop a big data approach for aggregated county-level social distance measurement, and (4) demonstrate how gravity models can be improved by including both social distance and physical distance for evacuation destination choice modeling.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1004-1018 |
| Number of pages | 15 |
| Journal | International Journal of Digital Earth |
| Volume | 14 |
| Issue number | 8 |
| DOIs | |
| State | Published - 2021 |
All Science Journal Classification (ASJC) codes
- Software
- Computer Science Applications
- General Earth and Planetary Sciences
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