Why disaster planning must prioritize digital infrastructure resilience

The growing reliance on digital systems is transforming global disaster preparedness strategies, with researchers warning that disruptions to information infrastructure can now trigger operational crises as severe as failures in critical systems. Modern institutions increasingly rely on online communication platforms, cloud infrastructure, academic databases and administrative networks to maintain daily operations, making digital continuity a critical component of societal resilience during disasters.

A study titled "Sustainable Selection of Disaster Recovery Centers: A Comparative GIS Analysis and Fucom-Based Electre I Approach for Digital Infrastructure Resilience," published in the journal Sustainability, examines how Geographic Information Systems (GIS) and advanced multi-criteria decision-making methods can help identify safer and more resilient locations for Disaster Recovery Centers (DRCs). According to the study, DRCs are no longer secondary technical facilities but strategic infrastructures essential for maintaining operational continuity during natural disasters, cyberattacks, power outages and system failures.

Traditional disaster planning overlooks digital continuity risks

Conventional disaster infrastructure planning models have focused too heavily on physical suitability indicators such as geography, transportation access and environmental hazards while paying insufficient attention to digital infrastructure continuity and organizational resilience. Researchers say this gap has become increasingly dangerous as institutions move critical operations onto interconnected digital systems.

According to the researchers, DRCs act as strategic backup environments that allow institutions to maintain core operations when primary information systems become unavailable. These facilities support data backup, system restoration and organizational continuity during emergencies ranging from earthquakes and floods to cyberattacks and telecommunications disruptions.

The study explains that many earlier infrastructure planning approaches relied on compensatory Multi-Criteria Decision Making methods such as TOPSIS, VIKOR and PROMETHEE. These models allow weak performance in one category to be offset by strong performance elsewhere. Researchers argue that this creates significant risks in disaster planning because critical infrastructure vulnerabilities can remain hidden beneath favorable overall rankings.

To address this issue, the researchers adopted the non-compensatory ELECTRE I method, which prevents severe weaknesses in critical categories from being masked by strengths in unrelated areas. According to the study, this approach creates a more cautious and risk-sensitive framework better suited for Disaster Recovery Center planning.

The research integrates GIS with operational continuity criteria including energy redundancy, telecommunications continuity, physical security and Recovery Time Objective and Recovery Point Objective compliance. GIS-based spatial analysis evaluated flood exposure, landslide susceptibility, slope conditions and other environmental risk indicators across candidate districts in Sinop Province.

Continuity planning, as the study stresses, can no longer focus solely on technical infrastructure protection. Instead, digital resilience now requires integrated strategies involving backup systems, cybersecurity, data management, organizational continuity and coordinated recovery mechanisms.

The study notes that universities have become operators of critical digital infrastructure because educational delivery, research coordination and administrative management now depend heavily on uninterrupted digital systems. Disruptions affecting student information platforms, distance learning systems or academic databases can halt institutional functions entirely.

Researchers further argue that digital infrastructure resilience has evolved into a broader economic and societal issue because failures in information systems can trigger cascading disruptions across public services and institutional operations.

Boyabat and Gerze emerge as strongest locations for DRCs

The study evaluated five districts within Sinop Province: Boyabat, Gerze, Ayancık, Dikmen and Erfelek. Researchers selected these districts because they represent different topographical characteristics, infrastructure conditions and disaster risk profiles within Türkiye's Black Sea region.

Coastal districts such as Gerze and Ayancık face greater hydro-meteorological risks including flooding and heavy rainfall, while inland districts such as Boyabat and Dikmen display different geological and accessibility conditions. Researchers say this diversity allowed the study to compare how physical safety and operational resilience interact under varying environmental circumstances.

GIS-based spatial suitability analysis and the ELECTRE I operational resilience model produced different ranking outcomes. According to the researchers, this demonstrates that physically safe locations do not automatically provide sufficient operational continuity for disaster recovery infrastructure.

The GIS-based analysis focused primarily on environmental and topographical safety indicators such as slope conditions, flood risks and landslide susceptibility. In contrast, the ELECTRE I framework placed greater importance on operational continuity variables including telecommunications reliability, energy redundancy and recovery capacity.

Boyabat and Gerze emerged as the strongest overall alternatives because they demonstrated balanced performance across both physical suitability and operational continuity criteria. Researchers say these districts provided the most resilient combination of environmental safety and infrastructure readiness for potential Disaster Recovery Center establishment.

The study also identified important weaknesses in districts that initially appeared geographically suitable. Dikmen, for example, demonstrated strong physical safety characteristics but weaker telecommunications and energy redundancy infrastructure. Researchers say this mismatch highlights the danger of relying solely on topographical indicators when planning critical digital infrastructure.

According to the FUCOM weighting analysis, physical risk received the highest overall importance score among the evaluation criteria. Energy redundancy ranked second, followed by physical security. Researchers argue that these findings reinforce the need for balanced infrastructure planning capable of integrating environmental resilience with operational sustainability.

Sensitivity analysis confirmed the robustness of the proposed framework. Changes in criterion weights did not significantly alter the overall evaluation structure, suggesting that the GIS-FUCOM-ELECTRE approach can provide stable and reliable decision-support outcomes under varying planning assumptions.

This robustness is particularly important because disaster risks, institutional priorities and infrastructure conditions can evolve over time. A scalable and adaptable decision-support model may therefore offer long-term value for public institutions and regional planning authorities.

Study calls for scalable digital resilience planning across institutions and cities

The researchers argue that the proposed framework offers a scalable model for resilient infrastructure planning across multiple sectors including healthcare, finance, public administration and industrial systems.

The modular structure of the Fuzzy FUCOM-ELECTRE I framework allows planners to adapt the model for different institutional environments without changing its core mathematical structure. Local GIS datasets, infrastructure variables and operational priorities can be incorporated according to regional planning requirements.

Integrating digital resilience into disaster planning aligns closely with broader sustainability goals focused on resilient infrastructure development and sustainable urban systems. The study specifically links its findings to international sustainability objectives related to resilient infrastructure and sustainable communities.

The policy implications outlined in the research are particularly significant for regional planning in Türkiye. According to the study, high-priority districts such as Boyabat and Gerze could guide zoning decisions, land-use regulations and disaster risk reduction policies. At the same time, districts demonstrating weaker operational readiness could become targets for investments in telecommunications infrastructure and backup energy systems.

Researchers also stress the importance of coordinated governance involving universities, local municipalities and disaster management agencies such as AFAD. The study argues that successful Disaster Recovery Center planning requires collaboration between institutions responsible for digital systems, emergency management and regional infrastructure development.

The research acknowledges several limitations. The study focused on macro-scale regional prioritization rather than parcel-level implementation, meaning future work will require higher-resolution spatial analysis and more detailed local infrastructure data. Researchers also note that socio-economic indicators, legal frameworks and evolving regulatory conditions could be integrated into future versions of the model.

Future studies may additionally incorporate machine learning techniques capable of analyzing historical disaster patterns, infrastructure vulnerabilities and environmental trends more dynamically. Researchers suggest that AI-supported analytical systems could improve future resilience planning by identifying complex risk interactions that traditional models may overlook.