Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations

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 evacuat...

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Main Authors: Nathan Wood, Kevin Henry, Jeff Peters
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198220301226
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author Nathan Wood
Kevin Henry
Jeff Peters
author_facet Nathan Wood
Kevin Henry
Jeff Peters
author_sort Nathan Wood
collection DOAJ
description 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 demonstrate how vehicle simulation can characterize network performance during a tsunami evacuation in the absence of real-world measurements of vehicle demand and flow. Changes in vehicle demand had the greatest influence on reductions in clearance times and recommended reductions varied based on time of day. Doubling the capacity of certain road segments based on traditional vehicle-capacity ratios and level-of-service thresholds reduced overall clearance time in some cases but increased it in other cases. The proposed simulation approach can serve as an analytical foundation for future efforts to characterize distant-tsunami evacuations in other coastal communities throughout the world.
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spelling doaj.art-1d8c6ed9d03f4f1a91e958db29e124582022-12-21T23:59:08ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822020-09-017100211Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuationsNathan Wood0Kevin Henry1Jeff Peters2U.S. Geological Survey, Western Geographic Science Center, 2130 SW 5th Avenue, Portland, OR, USA; Corresponding author.U.S. Geological Survey, Western Geographic Science Center, 6000 J Street Placer Hall, Sacramento, CA, USAU.S. Geological Survey, Western Geographic Science Center, 350 N. Akron Rd., Moffett Field, CA 94035, USADistant 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 demonstrate how vehicle simulation can characterize network performance during a tsunami evacuation in the absence of real-world measurements of vehicle demand and flow. Changes in vehicle demand had the greatest influence on reductions in clearance times and recommended reductions varied based on time of day. Doubling the capacity of certain road segments based on traditional vehicle-capacity ratios and level-of-service thresholds reduced overall clearance time in some cases but increased it in other cases. The proposed simulation approach can serve as an analytical foundation for future efforts to characterize distant-tsunami evacuations in other coastal communities throughout the world.http://www.sciencedirect.com/science/article/pii/S2590198220301226VehicleEvacuationSimulationShort noticeTsunamiHazard
spellingShingle Nathan Wood
Kevin Henry
Jeff Peters
Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations
Transportation Research Interdisciplinary Perspectives
Vehicle
Evacuation
Simulation
Short notice
Tsunami
Hazard
title Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations
title_full Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations
title_fullStr Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations
title_full_unstemmed Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations
title_short Influence of demand and capacity in transportation simulations of short-notice, distant-tsunami evacuations
title_sort influence of demand and capacity in transportation simulations of short notice distant tsunami evacuations
topic Vehicle
Evacuation
Simulation
Short notice
Tsunami
Hazard
url http://www.sciencedirect.com/science/article/pii/S2590198220301226
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