Bay Farm Island tsunami evacuation MATSIM network

Dates

Publication Date: 2020-09-14
Start Date: 2010
End Date: 2017

Citation

Henry, K.D., Peters, J., and Wood, N.J., 2020, Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations: U.S. Geological Survey data release, https://doi.org/10.5066/P92TK6BS.

Summary

Distant tsunamis require short-notice evacuations in coastal communities to minimize threats to life safety. Given the available time to evacuate and potential distances out of hazard zones, coastal transportation planners and emergency managers can expect large proportions of populations to evacuate using vehicles. A community-wide, short-notice, distant-tsunami evacuation is challenging because it creates a sudden, significant, and concentrated demand on road-network systems. Transportation planners and emergency managers need methods to help them determine if a road network can handle an evacuation surge and if not, where interventions can best reduce overall clearance times. We use the coastal community of Bay Farm Island (City [...]

Summary

Distant tsunamis require short-notice evacuations in coastal communities to minimize threats to life safety. Given the available time to evacuate and potential distances out of hazard zones, coastal transportation planners and emergency managers can expect large proportions of populations to evacuate using vehicles. A community-wide, short-notice, distant-tsunami evacuation is challenging because it creates a sudden, significant, and concentrated demand on road-network systems. Transportation planners and emergency managers need methods to help them determine if a road network can handle an evacuation surge and if not, where interventions can best reduce overall clearance times. We use the coastal community of Bay Farm Island (City of Alameda, California, USA) and the distant tsunami threat posed by Aleutian-Alaskan earthquakes as a case study to explore the use of agent-based, transportation simulation to support short-notice, tsunami-evacuation planning. Results include estimates of varying scenarios of vehicle demand during an evacuation, evacuation clearance time estimations across these scenarios, and a selection of clearance time estimations for varying strategies to improve evacuation, including route choice, demand reduction, and capacity improvements.

Contacts

Point of Contact :: Kevin D Henry
Process Contact :: Jeff Peters
Originator :: Kevin D Henry, Jeff Peters, Nathan J Wood
Metadata Contact :: Kevin D Henry
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: Western Geographic Science Center
USGS Mission Area :: Land Resources

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BayFarm_MatSIMNetwork.xml Original FGDC Metadata	View	27.22 KB	application/fgdc+xml

Shapefile: BayFarm_MatSimNetwork.zip
BayFarm_MatSimNetwork.shp.xml Original FGDC Metadata	View	26.36 KB
BayFarm_MatSimNetwork.cpg		5 Bytes
BayFarm_MatSimNetwork.dbf		600.81 KB
BayFarm_MatSimNetwork.prj		425 Bytes
BayFarm_MatSimNetwork.sbn		42.75 KB
BayFarm_MatSimNetwork.sbx		2.72 KB
BayFarm_MatSimNetwork.shp		422.09 KB
BayFarm_MatSimNetwork.shx		32.56 KB

Purpose

Data collected in support of journal article "Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations" for mapping purposes

Bay Farm Island tsunami evacuation MATSIM network

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