Low‑Cost ‘TsunamiSafe Planner’ Empowers Coastal Residents to Choose Faster Evacuation Paths

Researchers led by Dr. Hiroshi Tanaka of the University of Tokyo, Dr. Maya Patel of the Massachusetts Institute of Technology, and Dr. Ahmed Al‑Mansouri of KAUST have unveiled a low‑cost evacuation‑planning tool called the “TsunamiSafe Planner”. The smartphone‑based system can compute the safest, fastest route to higher ground within seconds after a seismic event, addressing the critical minutes that often decide life or death for coastal populations. The Planner combines open‑source elevation datasets, real‑time seismic alerts from the Pacific Tsunami Warning Center, and a lightweight artificial‑intelligence (AI) routing algorithm that runs on a $3 GPS module attached to any Android device. Because the software is open‑source, municipalities can deploy it without licensing fees, and the hardware can be assembled from off‑the‑shelf components. In a 2024 field trial in Rikuzentakata, Japan, 150 volunteers were split into a control group using traditional paper maps and a test group equipped with the Planner. The test group reached designated safe zones an average of 27 % faster, shaving roughly two minutes off the evacuation time—a margin that can be decisive in a 3‑meter tsunami wave. “The difference was palpable,” reported Dr. Hiroshi Tanaka, lead engineer, “participants felt more confident and less disoriented.” The success has attracted interest from disaster‑management agencies across the Indo‑Pacific region. Officials envision integrating the Planner into community drills, linking it to local siren systems, and eventually coupling it with autonomous drone‑based rescue units. If adopted widely, the technology could lower the economic barrier to advanced evacuation planning, especially for low‑income coastal towns. Nevertheless, challenges remain, including ensuring reliable internet connectivity during a disaster and calibrating elevation data for rapidly eroding coastlines. The research team plans to release a satellite‑offline mode by early 2027, allowing the app to function solely on pre‑loaded topographic maps.