Dynamic integrated model for disaster management and socioeconomic analysis (DIM2SEA)

Erick Mas*, Daniel Felsenstein, Luis Moya, A. Yair Grinberger, Rubel Das, Shunichi Koshimura

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


The DIM2SEA research project aims to increase urban resilience to large-scale disasters. We are engaged in developing a prototype Dynamic Integrated Model for Disaster Management and Socioeconomic Analysis (DIM2SEA) that will give disaster officials, stake-holders, urban engineers and planners an analytic tool for mitigating some of the worst excesses of catastrophic events. This is achieved by harnessing state-of-the-art developments in damage assessment, spatial simulation modeling, and Geographic Information System (GIS). At the heart of DIM2SEA is an agent-based model combined with post-disaster damage assessment and socioeconomic impact models. The large amounts of simulated spatial and temporal data generated by the agent-based models are fused with the socioeconomic profiles of the target population to generate a multidimensional database of inherently “synthetic” big data. Progress in the following areas is reported here: (1) Synthetic population generation from census tract data into agent profiling and spatial allocation, (2) developing scenarios of building damage due to earthquakes and tsunamis, (3) building debris scattering estimation and road network disruption, (4) logistics regarding post-disaster relief distribution, (5) the labor market in post-disaster urban dynamics, and (6) household insurance behavior as a reflection of urban resilience.

Original languageAmerican English
Pages (from-to)1257-1271
Number of pages15
JournalJournal of Disaster Research
Issue number7
StatePublished - Dec 2018

Bibliographical note

Publisher Copyright:
© 2018, Fuji Technology Press. All rights reserved.


  • Damage assessment
  • Disaster management
  • Disaster simulation
  • Socioeconomic impact
  • Urban simulation


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