Title
Development of calibrated tsunami evacuation models through real-world collected data: The case study of Coquimbo-La Serena, Chile
Date Issued
12 January 2021
Access level
open access
Resource Type
conference paper
Author(s)
León J.
Catalán P.A.
Gubler A.
Koshimura S.
Cienfuegos R.
Publisher(s)
IOP Publishing Ltd
Abstract
Evacuation is considered the most important and effective method to save human lives in case of a tsunami. In recent years, significant efforts have been carried out to examine evacuation through computer-based models; nevertheless, challenges remain on examining the accuracy of these models in simulating real-world populations’ behavior. Along these lines, this paper uses a large call detail records (CDR) database to examine populations’ behaviors during a Mw 6.7 earthquake and tsunami evacuation in Coquimbo-La Serena, Chile, on January 19, 2019, and compare its outcomes with an agent-based model for the same case study. Results show partial correspondences between the model and the real-world data. While cell phone users’ rapid response to the emergency resembles the model’s assumption of rapid departures (alongside the rough evacuation direction), the evacuation rate of people in vulnerable areas significantly differs from the ‘total compliance’ (i.e. 100% evacuation rate) assumption of the model, which might lead to large human casualties in case of a real emergency.
Volume
630
Issue
1
Language
English
OCDE Knowledge area
Ciencias ambientales
Ciencias de la computación
Otras ingenierías y tecnologías
Scopus EID
2-s2.0-85100806503
ISSN of the container
17551307
Conference
IOP Conference Series: Earth and Environmental Science - 12th ACEH International Workshop on Sustainable Tsunami Disaster Recovery: Sharing Experience, Knowledge and Culture 2019, AIWEST-DR 2019
Source funding
Fondo Nacional de Desarrollo Científico y Tecnológico
Sponsor(s)
This research was supported by the Research Center for Integrated Disaster Risk Management CIGIDEN (CONICYT/FONDAP/15110017) and the National Fund for Science and Technology, FONDECYT, Research Grants No. 11170024 and No. 1170836.
Sources of information:
Directorio de Producción Científica
Scopus