Short answer

Design evacuation strategies and infrastructure that are resilient to the compounding effects of multiple hazards, prioritizing vulnerable populations and testing intervention effectiveness through simulation.

Field
Sustainability
Source
Sustainability (2026)
Method
Agent-based modelling and simulation
Evidence
Strong effect

Simulations reveal that the combined effects of storm surge flooding and wind disruptions significantly impede evacuation efficiency, leading to higher failure rates and longer evacuation times, particularly in vulnerable areas. This sustainability research insight is drawn from a 2026 study published in Sustainability. Using Agent-based modelling and simulation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design evacuation strategies and infrastructure that are resilient to the compounding effects of multiple hazards, prioritizing vulnerable populations and testing intervention effectiveness through simulation.

Study
SustainabilityNew This WeekStrong effect

Compound hurricane hazards increase evacuation failure rates by up to 50%

Simulations reveal that the combined effects of storm surge flooding and wind disruptions significantly impede evacuation efficiency, leading to higher failure rates and longer evacuation times, particularly in vulnerable areas.

Sustainability · 2026

01

Key Findings

  • 01Compound flooding significantly increases evacuation times and failure rates.
  • 02Performance degradation is concentrated in higher-vulnerability areas.
  • 03Behavioral shifts, shelter capacity expansion, and earlier departure timing can reduce delays and unmet shelter demand.
02

Application

Design takeaway

Design evacuation strategies and infrastructure that are resilient to the compounding effects of multiple hazards, prioritizing vulnerable populations and testing intervention effectiveness through simulation.

How to apply

Use agent-based modeling to simulate evacuation scenarios for your specific context, incorporating compound hazard effects. Test different intervention strategies (e.g., phased evacuation, improved signage, real-time traffic management) to identify the most effective solutions for reducing evacuation times and failure rates.

Project actions

  • 01When choosing a design problem, consider scenarios involving multiple interacting environmental factors.
  • 02Explore how simulation tools can be used to test the effectiveness of your design solutions under various conditions.
03

Method & Evidence

AimTo develop and apply a micro-scale agent-based modeling framework to assess evacuation performance under baseline and compound hurricane hazard conditions, informing municipal decision-making for enhanced community resilience.
MethodAgent-based modelling and simulation
ProcedureA micro-scale agent-based evacuation model was developed in AnyLogic, integrating household data, vehicle availability, road networks, and shelter capacities. The model simulates evacuation under baseline conditions and then under compound hazards (storm surge flooding and wind disruptions) for Category 1-4 hurricanes. Evacuation propensity and destination choices were parameterized using survey data. Model outputs were analyzed to quantify evacuation time, congestion, shelter demand, and failure rates.
ContextEmergency management and urban planning for coastal communities facing climate-driven hazards.

Variables

IV["Presence and intensity of compound hazards (flooding and wind)","Hurricane category"]
DV["Normalized evacuation time","Evacuation failure rate","Congestion levels","Shelter demand and unmet capacity"]
CV["Household locations","Vehicle availability","Road network connectivity","Shelter capacities","Evacuation propensity and destination choice parameters"]
04

Strengths & Limitations

Strengths

  • +Utilizes a micro-scale agent-based model for detailed simulation.
  • +Integrates empirical data for realistic parameterization.
  • +Assesses the impact of compound hazards, a critical real-world scenario.

Limitations

The complexity of real-world evacuation dynamics is difficult to fully capture in a model. Factors like human panic, communication failures, and the availability of real-time information are challenging to simulate accurately.

Reliability & validity

The model's validity relies on the accuracy of input data and the realism of agent behavior assumptions. Reliability would be assessed by running multiple simulations with the same parameters to check for consistent outcomes, and by varying stochastic elements to understand the range of possible results.

Think critically

How might the 'vulnerability' of an area be defined and quantified in a way that is applicable across different geographical and socio-economic contexts?

05

Design Principles

"Resilience through integrated hazard assessment and adaptive planning."

Effective evacuation planning is critical for community resilience and minimizing disaster losses. Understanding how compound hazards degrade evacuation performance allows for more robust and targeted interventions, safeguarding lives and resources.

06

What This Means for Your Design

When hurricanes bring both flooding and strong winds, it's much harder for people to get out safely. This study used computer simulations to show that this combination makes evacuations take longer and fail more often, especially for people in riskier areas. But, changing when people leave or adding more shelters can help.

How to use in your project

  • 1.Cite this research when discussing the importance of considering compound environmental hazards in your design context, particularly if your project relates to safety, resilience, or disaster preparedness.
  • 2.Use the findings to justify the need for robust testing of your design under a range of challenging conditions.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research underscores the critical need to design for compound hazards, demonstrating that the combined effects of storm surge and wind disruptions can significantly increase evacuation failure rates and times, particularly in vulnerable areas. This highlights the importance of developing resilient systems that can withstand multiple, interacting environmental stressors, a crucial consideration for any design project aiming to enhance safety and preparedness in at-risk communities.

09

Source

Sustainability

Micro-Scale Agent-Based Modeling of Hurricane Evacuation Under Compound Wind–Surge Hazards: A Case Study of Westbrook, Connecticut

journal · 2026

View source

Questions About This Research

What does the research say about compound hurricane hazards increase evacuation failure rates by up to 50%?
Design evacuation strategies and infrastructure that are resilient to the compounding effects of multiple hazards, prioritizing vulnerable populations and testing intervention effectiveness through simulation. Evidence: Sustainability (2026).
Why does "Compound hurricane hazards increase evacuation failure rates by up to 50%" matter for design?
Effective evacuation planning is critical for community resilience and minimizing disaster losses. Understanding how compound hazards degrade evacuation performance allows for more robust and targeted interventions, safeguarding lives and resources.
How can designers apply this research?
Design evacuation strategies and infrastructure that are resilient to the compounding effects of multiple hazards, prioritizing vulnerable populations and testing intervention effectiveness through simulation.
What were the main findings?
Compound flooding significantly increases evacuation times and failure rates.. Performance degradation is concentrated in higher-vulnerability areas.. Behavioral shifts, shelter capacity expansion, and earlier departure timing can reduce delays and unmet shelter demand.
What research method was used?
Agent-based modelling and simulation.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2026 journal from Sustainability.
What should I do differently in my next project?
Use agent-based modeling to simulate evacuation scenarios for your specific context, incorporating compound hazard effects. Test different intervention strategies (e.g., phased evacuation, improved signage, real-time traffic management) to identify the most effective solutions for reducing evacuation times and failure rates.
What are the limitations?
The model's accuracy is dependent on the quality and granularity of input data (e.g., household locations, road network conditions, behavioral parameters). The stochastic nature of wind disruptions introduces variability.