TY - JOUR
T1 - Dynamic integrated model for disaster management and socioeconomic analysis (DIM2SEA)
AU - Mas, Erick
AU - Felsenstein, Daniel
AU - Moya, Luis
AU - Grinberger, A. Yair
AU - Das, Rubel
AU - Koshimura, Shunichi
N1 - Publisher Copyright:
© 2018, Fuji Technology Press. All rights reserved.
PY - 2018/12
Y1 - 2018/12
N2 - 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.
AB - 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.
KW - Damage assessment
KW - Disaster management
KW - Disaster simulation
KW - Socioeconomic impact
KW - Urban simulation
UR - http://www.scopus.com/inward/record.url?scp=85094972426&partnerID=8YFLogxK
U2 - 10.20965/jdr.2018.p1257
DO - 10.20965/jdr.2018.p1257
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AN - SCOPUS:85094972426
SN - 1881-2473
VL - 13
SP - 1257
EP - 1271
JO - Journal of Disaster Research
JF - Journal of Disaster Research
IS - 7
ER -