Modeling non-structural strategies to reduce pedestrian evacuation times for mitigating local tsunami threats in Guam
Reducing the potential for loss of life from local tsunamis is challenging for emergency managers given the need for self-protective behavior of at-risk individuals within brief windows of time to evacuate. There has been considerable attention paid to discussing the use of tsunami vertical-evacuation structures for areas where there may be insufficient time to evacuate. This strategy may not be feasible or needed for at-risk populations in island communities for multiple reasons. We examine the influence of three non-structural interventions (reducing departure delays, increasing travel speeds, and managing vegetation to create new paths) that may improve the evacuation potential for at-risk individuals in island communities and use the United States territory of Guam as our case study. We model pedestrian travel times out of a modeled inundation zone for a local tsunami generated by a Mw 8.3 earthquake within the Mariana subduction zone. Evacuation-modeling results indicate that reducing departure delays has a larger impact than increasing travel speeds or creating evacuation corridors through heavy brush on reducing the number of at-risk individuals with insufficient time to evacuate. Travel times to safety are less than wave-arrival times for almost all at-risk individuals in the tsunami-hazard zone if one assumes all three interventions are implemented.
Citation Information
Publication Year | 2023 |
---|---|
Title | Modeling non-structural strategies to reduce pedestrian evacuation times for mitigating local tsunami threats in Guam |
DOI | 10.1016/j.ijdrr.2023.103859 |
Authors | Nathan J. Wood, Jeff Peters, Kwok Fai Cheung, Yoshiki Yamazaki, Denille Calvo, Charles Guard |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | International Journal of Disaster Risk Reduction |
Index ID | 70248825 |
Record Source | USGS Publications Warehouse |
USGS Organization | Western Geographic Science Center |