The platform, known as MoDeRa-Ts, short for Decision Support Model for Enhancing Community Resilience in Tsunami-Prone Cities, was developed by Paula Villagra-Islas of the Universidad Austral de Chile and her collaborators, including Cristian Olivares-Rodriguez and Rafael Aránguiz. Its purpose is ambitious: to simulate community resilience across multiple dimensions—physical, social, institutional, and economic—under different tsunami inundation scenarios, and to help urban planners and municipal policymakers move from abstract risk maps to actionable strategies. The research team deliberately set out to answer a question that plagues the rapidly growing field of resilience-assessment tools: do these digital platforms actually work for the people expected to use them?

The literature suggests many do not. Over the past decade, dozens of indices, dashboards, and geographic information system tools have been proposed for measuring community disaster resilience, from composite indicator frameworks to co-created GIS dashboards. Reviews of these tools repeatedly flag the same weakness: a lack of validation with end users. Tools are often built by researchers, demonstrated at conferences, and then quietly abandoned because planners find them confusing, irrelevant, or disconnected from the practical constraints of municipal budgeting and land-use regulation. Villagra-Islas and her colleagues argue that without usability and utility testing, even the most technically elegant simulation platform risks becoming a digital orphan.

To test MoDeRa-Ts under realistic conditions, the researchers organized focus groups with 72 municipal officials drawn from nine representative coastal cities across Chile. These were not students or volunteer panels; they were the professionals responsible for planning, emergency management, and community development in towns where a major tsunami could strike within minutes of a megathrust earthquake. Participants worked with the platform in a controlled environment, completing structured activities that asked them to simulate resilience scenarios, evaluate the tool itself, and explore whether its outputs could be transformed into concrete planning strategies for their own municipalities.

The evaluation followed established, quantitative benchmarks. Usability was measured with the System Usability Scale, a widely used ten-item instrument scored from 0 to 100, in which scores of 68 or higher indicate acceptable usability. MoDeRa-Ts achieved a mean score of 69 out of 100—just above the acceptance threshold. Officials found the platform usable, but they consistently identified the need for a simpler interface, suggesting that the tool’s analytical depth came at some cost in navigability. The researchers treat this result not as a failure but as exactly the kind of actionable feedback that validation exercises are meant to produce: the science inside the platform works, but the packaging needs refinement before broad deployment.

Utility, by contrast, scored strikingly higher. Using the Evaluation Framework for Learning Analytics, a four-level instrument in which items are rated on a 1-to-10 scale and normalized scores above 70 indicate acceptability, MoDeRa-Ts received ratings ranging from 81 to 86 out of 100. Participants reported that the platform effectively helped them understand the information presented, reflect on the multidimensional nature of their communities’ resilience, and identify potential interventions. In other words, the platform did more than display data—it changed how officials thought about vulnerability in their cities, prompting them to consider social and institutional dimensions alongside the physical footprint of tsunami inundation.

The most consequential result emerged from that reflection. Through their interaction with the simulations, the 72 participants collectively identified 45 distinct planning strategies for strengthening tsunami resilience in Chilean coastal cities. The research team organized these strategies into ten Resilient Strategic Planning Themes, covering areas such as evacuation infrastructure, land-use controls in inundation zones, critical facility protection, and community preparedness. This is the step where most simulation tools stall: they can model scenarios elegantly, but converting model output into a portfolio of place-specific interventions requires domain knowledge, local context, and deliberation. The focus-group design appears to have supplied all three, turning the platform into a catalyst for genuine planning dialogue rather than a passive display.

The methodological rigor of the study deserves attention in its own right. Quantitative survey data were analyzed in SPSS, while qualitative responses were coded in Atlas.ti, allowing the team to combine statistical benchmarks with rich thematic analysis. The mixed-methods approach, the authors argue, is essential for evaluating emerging decision-support tools: a high usability score alone would say nothing about whether a tool is useful, and strong perceived utility would mean little if the interface frustrated every user who touched it. By measuring both dimensions with validated instruments, the study offers a template that other developers of resilience platforms—whether for floods, earthquakes, or wildfires—could readily adopt.

The stakes in Chile could hardly be higher. The country’s history is punctuated by catastrophic tsunamis, including the 1960 Valdivia event, the largest earthquake ever recorded, and the 2010 Maule earthquake and tsunami that killed hundreds. Recent research by the same team and collaborators has produced a new generation of probabilistic tsunami inundation maps for Chilean cities, and national agencies have invested in platforms for seismic and evacuation analysis. MoDeRa-Ts is designed to sit downstream of such hazard science, integrating inundation scenarios with resilience indicators so that a planner in a mid-sized port town can see not only how deep the water might run, but how the social fabric, economy, and institutions of the community would absorb and recover from the shock.

What happens next will determine whether the platform moves from validated research to national practice. The findings suggest a clear roadmap: simplify the interface while preserving the analytical engine, embed the tool within the planning workflows of Chile’s national disaster-prevention service and municipal governments, and extend the validation approach to more cities and user groups. If that transition succeeds, the study’s broader lesson will resonate far beyond Chile. In an era when coastal urbanization is accelerating worldwide and climate-driven hazards are intensifying, the bottleneck in disaster resilience is often not the science of simulation but the human science of adoption. By submitting their platform to skeptical scrutiny from the officials who matter most, the researchers have shown how decision-support technology can earn its way out of the laboratory and into the rooms where city futures are decided.

Subject of Research: Validation of a decision-support platform for tsunami-resilient coastal city planning

Article Title: From simulation to urban action: evaluating a decision-support platform for tsunami-resilient coastal cities

Article References: Villagra-Islas, P., Olivares-Rodriguez, C., & Aránguiz, R. (2026). From simulation to urban action: evaluating a decision-support platform for tsunami-resilient coastal cities. Natural Hazards, 122(19), Article 642. https://doi.org/10.1007/s11069-026-08410-4

Image Credits: AI Generated

DOI: 10.1007/s11069-026-08410-4

Keywords: tsunami, community resilience, decision support, Chile, coastal cities, urban planning, usability, System Usability Scale, disaster risk reduction, simulation, urban, action