V1.0 · REPRODUCIBLE DISASTER-RESPONSE RESEARCH

When more resources stop being the whole answer

A graph-based digital-twin research platform that separates resource-allocation efficiency from network-connectivity failure.

Türkiye Disaster Intelligence Digital Twin research platform by Faramarz Kowsari
PERSISTENT RESEARCH RECORD v1.0.0 DOI · 10.5281/zenodo.21903851 Concept DOI 10.5281/zenodo.21903850 represents the project across all versions. Accepted retrospective OSF Registration · 10.17605/OSF.IO/ZTJXK Published engrXiv Preprint · 10.31224/7979

FINAL CONFIRMATORY FINDING

The reliability boundary moves with resources—but with diminishing returns

0.1425
12 responders
0.1625
32 responders
102/102
Confirmatory total-response cells significant after Holm correction
Severity is a synthetic network-disruption control parameter.
01 · DATA

Public data with explicit provenance

AFAD catalogue access and OpenStreetMap roads/facilities enter an auditable research pipeline.

02 · EXPERIMENT

Coupled stochastic severity worlds

The same stochastic world is progressively stressed so failures are nested.

03 · INFERENCE

Boundary estimation with world bootstrap

The 80/80 crossing is estimated with uncertainty.

ABOUT THE PROJECT

A research platform for the boundary between resources and connectivity

The project models emergency-response accessibility on a disrupted road graph.

Read the complete project dossier
What v1.0.0 establishes

The frozen release quantifies how the reliability boundary shifts with responder availability.

Faramarz Kowsari

AUTHOR

Faramarz Kowsari

Author · Software Engineer · AI Researcher

Faramarz Kowsari is based in İstanbul and develops open research software, technical research systems and educational material spanning applied AI, data-driven decision support, graph-based modeling and reproducible computational research.