TY - JOUR
T1 - Simulating emergencies with transport outcomes Sim (SETOSim): Application of an agent-based decision support tool to community evacuation planning
AU - Nakanishi, Hitomi
AU - Wise, Sarah
AU - Suenaga, Yoshihiro
AU - Manley, Ed
N1 - Funding Information:
This research was funded by Obayashi Foundation Research Grant Financial support to research for the year 2016 and Seeds Development Research Fund (Social Problem Solution Type) of Kagawa University Research Promotion Program 2019(KURPP). The authors thank representatives of neighbourhood associations of five communities, members of city assembly of Takamatsu, and officers of Takamatsu City and Kagawa Prefecture who provided valuable information and assistance. The author also thank Mr Kimiharu Saita, a weather forecaster who gave a valuable presentation to residents and comments to the authors. We would also like to thank three anonymous reviewers who provided useful comments that has improved this paper.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/10
Y1 - 2020/10
N2 - In the time since the 2004 Indian Ocean tsunami and Hurricane Katrina in 2005, an increasing number of studies have focused on developing agent-based simulations of citizen evacuation behaviours. The application of simulation to practice (i.e. evacuation planning, community disaster risk reduction strategy), however, is limited. This research aims to explore the effective application of agent-based evacuation simulation to better inform community evacuation planning through a collaborative process. The study developed an evacuation modelling tool focusing on the storm surge and flood evacuation behaviours of residents living in Takamatsu, Japan. The city of Takamatsu borders the Seto Inland Sea, an area where the risks from water-related disasters are increasing. The tidal flow of the Seto Inland Sea and storm surge flooding are simulated based on data from the 2004 typhoons, which seriously flooded the study area. An agent-based model exploring the relative vulnerability of residents as a function of location, demographic attributes including age, and previous experience is developed based on a questionnaire survey of residents which gathered information on their stated preference of evacuation. A visualisation of the simulation was shared with residents through workshops held in five neighbourhoods. It was also shared with government officials. The feedback from residents and governments officials on the effective applications to community evacuation planning are discussed and plans for future research are outlined.
AB - In the time since the 2004 Indian Ocean tsunami and Hurricane Katrina in 2005, an increasing number of studies have focused on developing agent-based simulations of citizen evacuation behaviours. The application of simulation to practice (i.e. evacuation planning, community disaster risk reduction strategy), however, is limited. This research aims to explore the effective application of agent-based evacuation simulation to better inform community evacuation planning through a collaborative process. The study developed an evacuation modelling tool focusing on the storm surge and flood evacuation behaviours of residents living in Takamatsu, Japan. The city of Takamatsu borders the Seto Inland Sea, an area where the risks from water-related disasters are increasing. The tidal flow of the Seto Inland Sea and storm surge flooding are simulated based on data from the 2004 typhoons, which seriously flooded the study area. An agent-based model exploring the relative vulnerability of residents as a function of location, demographic attributes including age, and previous experience is developed based on a questionnaire survey of residents which gathered information on their stated preference of evacuation. A visualisation of the simulation was shared with residents through workshops held in five neighbourhoods. It was also shared with government officials. The feedback from residents and governments officials on the effective applications to community evacuation planning are discussed and plans for future research are outlined.
KW - Agent-based model
KW - Decision support tool
KW - Disaster risk reduction
KW - Evacuation
KW - Japan
KW - Natural hazards
UR - http://www.scopus.com/inward/record.url?scp=85084557089&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2020.101657
DO - 10.1016/j.ijdrr.2020.101657
M3 - Article
SN - 2212-4209
VL - 49
SP - 1
EP - 21
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 101657
ER -