Data for critical infrastructure network modelling of natural hazard impacts: Needs and influence on model characteristics

• DOI: 10.1016/j.rcns.2024.01.002
• Publication Date: 2024-02-12T11:46:27Z
• Authors: Roman Schotten; Evelyn Mühlhofer; Georgios-Alexandr...; Daniel Bachmann; Albert S. Chen; Elco E. Koks
• Keywords: Natural hazard; Network model

Natural hazards impact interdependent infrastructure networks that keep modern society functional. While a variety of modelling approaches are available to represent critical (CINs) on different scales and analyse the impacts natural hazards, recurring challenge for all is availability accessibility sufficiently high-quality input validation data. The resulting data gaps often require modellers assume specific technical parameters, functional relationships, system behaviours. In other cases, expert knowledge from one sector extrapolated sectoral structures or even cross-sectorally applied fill gaps. uncertainties introduced by these assumptions extrapolations their influence quality outcomes poorly understood difficult capture, thereby eroding reliability models guide resilience enhancements. Additionally, ways overcoming challenges in CIN modelling, with respect each purpose, remain an open question. To address challenges, generic workflow derived existing examine model definition validations, as well six stages, including mapping assets, quantification dependencies, assessment hazard impacts, response & recovery, CI services, adaptation measures. requirements stage were systematically defined, literature potential sources was reviewed enhance collection raise awareness pitfalls. application funnels into framework assess challenges. This shown through three case studies, taking account purposes: hotspot assessments, risk management, adaptation. Based purpose types provided, suggested explore implications scarcity certain types, reasons consequences reliability. Finally, discussion presented.