Quantify resilience enhancement of UTS through exploiting connect community and internet of everything emerging technologies
Emanuele Bellini, Paolo Ceravolo, Paolo Besi

TL;DR
This paper investigates how emerging technologies like IoE and Connected Communities can significantly enhance the resilience of Urban Transport Systems by modeling their functions and analyzing critical community-related impacts.
Contribution
It introduces a formal extension of FRAM to model UTS complexity and quantifies resilience improvements through network analysis and fuzzy-based VR estimation with practical application to flooding scenarios.
Findings
VR is significantly higher with CC and IoE deployment
Network analysis identifies critical community functions affecting resilience
Fuzzy quantification effectively estimates variability in data-scarce situations
Abstract
This work aims at investigating and quantifying the Urban Transport System (UTS) resilience enhancement enabled by the adoption of emerging technology such as Internet of Everything (IoE) and the new trend of the Connected Community (CC). A conceptual extension of Functional Resonance Analysis Method (FRAM) and its formalization have been proposed and used to model UTS complexity. The scope is to identify the system functions and their interdependencies with a particular focus on those that have a relation and impact on people and communities. Network analysis techniques have been applied to the FRAM model to identify and estimate the most critical community-related functions. The notion of Variability Rate (VR) has been defined as the amount of output variability generated by an upstream function that can be tolerated/absorbed by a downstream function, without significantly increasing…
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Taxonomy
TopicsInfrastructure Resilience and Vulnerability Analysis · Complex Network Analysis Techniques · Supply Chain Resilience and Risk Management
