Challenges in Community Resilience Planning and Opportunities with Simulation Modeling

The importance of community resilience has become increasingly recognized in emergency management and post-disaster community well-being. To this end, three seismic resilience planning initiatives have been conducted in the U.S. in the last decade to envision the current state of community resilience. Experts who participated in these initiatives confronted challenges that must be addressed for future planning initiatives. We interviewed eighteen participants to learn about the community resilience planning process, its characteristics, and challenges. Conducting qualitative content analysis, we identify six main challenges to community resilience planning: complex network systems; interdependencies among built environment systems; inter-organizational collaboration; connections between the built environment and social systems; communications between built environment and social institutions’ experts; and communication among decision-makers, social stakeholders, and community members. To overcome the identified challenges, we discuss the capability of human-centered simulation modeling as a combination of simulation modeling and human-centered design to facilitate community resilience planning.

💡 Research Summary

The paper investigates the practical challenges encountered in community resilience planning for seismic hazards in the United States and explores how human‑centered simulation modeling can address these obstacles. The authors review three major planning initiatives carried out between 2006 and 2013: the SPUR Resilient City project in San Francisco, the Resilient Washington State effort, and the Oregon Resilience Plan. Each initiative followed a similar workflow—defining a seismic scenario, estimating current and desired recovery times for built‑environment assets, and producing recommendations for policymakers. Although these efforts were informed by the NIST Community Resilience Planning Guide (2016), they largely relied on expert judgment and lacked systematic analytical tools.

To uncover the underlying difficulties, the researchers conducted semi‑structured, 90‑minute interviews with eighteen stakeholders—including emergency managers, infrastructure engineers, building experts, and academic researchers—from California, Washington, and Oregon. Interviews were recorded (except one) and transcribed, then subjected to open‑coding thematic analysis using a custom Excel‑based tool called Code Wizard. After three coding rounds, an inter‑coder reliability of 0.8 was achieved. Two primary coding themes were examined: (1) challenges in the planning process and (2) opportunities for simulation modeling.

The qualitative analysis identified six interrelated challenges: (1) the inherent complexity of interconnected network systems (power, water, transportation, communications); (2) strong interdependencies among built‑environment subsystems that generate cascading failures; (3) difficulties in inter‑organizational collaboration due to differing goals, data access, and authority structures; (4) insufficient linkage between built‑environment components and social systems such as businesses, households, and public institutions; (5) communication barriers among technical experts from different domains; and (6) a lack of effective dialogue between decision‑makers, social stakeholders, and community members. These challenges create information asymmetries, impede consensus building, and limit the ability to evaluate “what‑if” scenarios during planning.

The authors argue that traditional qualitative approaches cannot fully resolve these issues. Instead, they propose a hybrid methodology termed “human‑centered simulation modeling,” which merges the analytical power of simulation (e.g., system dynamics, agent‑based models) with the user‑focused practices of human‑centered design. Key elements of this approach include: (a) co‑creation workshops where stakeholders articulate modeling objectives and constraints; (b) iterative prototyping of user interfaces to ensure transparency, usability, and trust; (c) scenario‑driven simulations that quantitatively capture infrastructure‑social interdependencies and cascading effects; and (d) visual analytics dashboards that translate complex model outputs into intuitive insights for diverse audiences. By embedding continuous feedback loops, the methodology aims to align model behavior with stakeholder expectations, improve cross‑disciplinary communication, and support evidence‑based decision making.

The paper concludes that human‑centered simulation modeling offers a promising pathway to overcome the identified barriers, enabling planners to explore multiple recovery strategies, assess trade‑offs, and communicate results effectively to both technical experts and the broader community. Future work should focus on developing concrete simulation tools, testing them in real‑world planning cycles, and measuring their impact on the quality and inclusiveness of resilience decisions.