Toward data-driven, dynamical complex systems approaches to disaster resilience

Takahiro Yabe, Suresh C.P. Rao, Satish V. Ukkusuri, Susan L. Cutter

Research output: Contribution to journalArticlepeer-review


With rapid urbanization and increasing climate risks, enhancing the resilience of urban systems has never been more important. Despite the availability of massive datasets of human behavior (e.g., mobile phone data, satellite imagery), studies on disaster resilience have been limited to using static measures as proxies for resilience. However, static metrics have significant drawbacks such as their inability to capture the effects of compounding and accumulating disaster shocks; dynamic interdependencies of social, economic, and infrastructure systems; and critical transitions and regime shifts, which are essential components of the complex disaster resilience process. In this article, we argue that the disaster resilience literature needs to take the opportunities of big data and move toward a different research direction, which is to develop data-driven, dynamical complex systems models of disaster resilience. Data-driven complex systems modeling approaches could overcome the drawbacks of static measures and allow us to quantitatively model the dynamic recovery trajectories and intrinsic resilience characteristics of communities in a generic manner by leveraging large-scale and granular observations. This approach brings a paradigm shift in modeling the disaster resilience process and its linkage with the recovery process, paving the way to answering important questions for policy applications via counterfactual analysis and simulations.

Original languageEnglish (US)
Article numbere2111997119
JournalProceedings of the National Academy of Sciences of the United States of America
Issue number8
StatePublished - Feb 22 2022


  • Big data
  • Complex systems
  • Disaster resilience
  • Urban science

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Toward data-driven, dynamical complex systems approaches to disaster resilience'. Together they form a unique fingerprint.

Cite this