Erick Mas
Biographic Data
| ID | 9875986 |
|---|---|
| NAME | Erick Mas |
| GIVEN NAMES | Erick |
| FAMILY NAME | Mas |
| SIGNATURE | MAS É |
| AFFILIATIONS | Tohoku University |
| ORCID | 0000-0002-4861-5739 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Leveraging LLMs for rapid disaster impacts assessment through News Media
After a disaster strikes, information starts pouring in. However, beyond the initial seismic analysis, it is primarily through local reporting, distributed media, and testimony that an initial appraisal of the situation is gained. Satellite-based remote sensing, although powerful, can be significantly delayed. This poses a limitation on the information that disaster managers, responders, and decision makers can obtain and act upon meaningfully. R…
Towards real-time extraction of cascading effect and spatiotemporal analysis using social media data
Compared with isolated hazard events, cascading disasters have the potential to cause greater harm and more dire outcomes. Improving rapid disaster response requires an understanding of how these crises develop. While some previous studies have examined methods for detecting and evaluating cascading disaster effects, there is currently no completely functional system for identifying and analyzing cascading disaster effects in real-time. To solve …
Feasibility of anomalous event detection based on Mobile Spatial Statistics
One of the primary goals of disaster risk management is to minimize the loss of life in the event of a disaster. To reduce the number of victims in disasters is important to know the amount of exposed population to a hazard. Similarly, population distribution in real-time is required to estimate post-disaster needs and resources for disaster relief. In this study, we explore the use of Mobile Spatial Statistics (MSS) as the basis to acquire offli…
Reinforcement learning-based tsunami evacuation guidance system
Congestion and crowding are critical issues during indoor and outdoor emergency evacuations. In the 2011 Great East Japan Earthquake and Tsunami, vehicle traffic was one of the causes of the event’s casualties. After this, vehicle evacuation in tsunami events is not advised in Japan. Then, pedestrian evacuation is expected to be the primary mode of mobility in emergencies. However, crowding and congestion may affect the evacuation time of individ…
Method to extract difficult-to-evacuate areas by using tsunami evacuation simulation and numerical analysis
Extracting the area where people have difficulty evacuating (hereafter difficult-to-evacuate areas, DEA) when tsunamis hit after an earthquake is important for effective disaster mitigation measures. The DEA was conventionally extracted by simply considering the walking speed, distance to the evacuation destination, and time needed for evacuation after considering the estimated tsunami inundation area. However, evaluating the DEA from such a simp…
Combination of school evacuation drill with tsunami inundation simulation
This paper aims to introduce an effective methodology for communicating a science-based tsunami risk scenario to non-expert citizens through consensus-making between disaster experts and non-experts, with the aid of four-way split-screen movie clips depicting evacuation scenarios. Action research on tsunami education in Zihuatanejo, Mexico found that a perception of tsunamis as catastrophic together with the one-directional nature of risk communi…
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Combination of school evacuation drill with tsunami inundation simulation
This paper aims to introduce an effective methodology for communicating a science-based tsunami risk scenario to non-expert citizens through consensus-making between disaster experts and non-experts, with the aid of four-way split-screen movie clips depicting evacuation scenarios. Action research on tsunami education in Zihuatanejo, Mexico found that a perception of tsunamis as catastrophic together with the one-directional nature of risk communi…
Method to extract difficult-to-evacuate areas by using tsunami evacuation simulation and numerical analysis
Extracting the area where people have difficulty evacuating (hereafter difficult-to-evacuate areas, DEA) when tsunamis hit after an earthquake is important for effective disaster mitigation measures. The DEA was conventionally extracted by simply considering the walking speed, distance to the evacuation destination, and time needed for evacuation after considering the estimated tsunami inundation area. However, evaluating the DEA from such a simp…
Feasibility of anomalous event detection based on Mobile Spatial Statistics
One of the primary goals of disaster risk management is to minimize the loss of life in the event of a disaster. To reduce the number of victims in disasters is important to know the amount of exposed population to a hazard. Similarly, population distribution in real-time is required to estimate post-disaster needs and resources for disaster relief. In this study, we explore the use of Mobile Spatial Statistics (MSS) as the basis to acquire offli…
Reinforcement learning-based tsunami evacuation guidance system
Congestion and crowding are critical issues during indoor and outdoor emergency evacuations. In the 2011 Great East Japan Earthquake and Tsunami, vehicle traffic was one of the causes of the event’s casualties. After this, vehicle evacuation in tsunami events is not advised in Japan. Then, pedestrian evacuation is expected to be the primary mode of mobility in emergencies. However, crowding and congestion may affect the evacuation time of individ…
Towards real-time extraction of cascading effect and spatiotemporal analysis using social media data
Compared with isolated hazard events, cascading disasters have the potential to cause greater harm and more dire outcomes. Improving rapid disaster response requires an understanding of how these crises develop. While some previous studies have examined methods for detecting and evaluating cascading disaster effects, there is currently no completely functional system for identifying and analyzing cascading disaster effects in real-time. To solve …
Leveraging LLMs for rapid disaster impacts assessment through News Media
After a disaster strikes, information starts pouring in. However, beyond the initial seismic analysis, it is primarily through local reporting, distributed media, and testimony that an initial appraisal of the situation is gained. Satellite-based remote sensing, although powerful, can be significantly delayed. This poses a limitation on the information that disaster managers, responders, and decision makers can obtain and act upon meaningfully. R…
Computer Science (5 works) · Engineering (3 works) · Artificial Intelligence (2 works) · Computer security (2 works) · Disaster Management and Resilience (2 works) · Disaster mitigation (2 works) · Emergency management (2 works) · Environmental Science (2 works) · Evacuation and Crowd Dynamics (2 works) · Human Mobility and Location-Based Analysis (2 works)