Towards resilience operationalization in urban transport system: The RESOLUTE project approach

Bellini, Emanuele; Nesi, Paolo; Coconea, Laura; Gaitanidou, Evangelia; Ferreira, Pedro; Simões, Anabela; Candelieri, Antonio

doi:10.1201/9781315374987-320

Cited by 13 publications

(7 citation statements)

References 2 publications

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“…The aim is to elicit both explicit and implicit operator’s knowledge on how the system works, when comparing such “as-imagined” performance against the actual performance carried out during the emergency (“work-as-done”). Such an analysis of results may identify several drawbacks (e.g., fragmented responsibilities, lack of data sharing and communication among operators) [ 9 ], which could be mitigated if some of the decisions taken by operators during disaster, are improved in terms of efficiency (timing, allocated resource, etc.) and effectiveness.…”

Section: Methodsmentioning

confidence: 99%

“…The focus is on the urban transport system considered as the set of transport infrastructures and modes that support urban movements of passengers and freight. Today urban transport systems (UTS) have developed a prominent safety and business critical nature, thus enhancing resilience of UTS is considered imperative for two main reasons: (i) it provides essential support to every socio-economic activity and rescue; (ii) the paths that convey people, goods, service and information, are the same through which risks are propagated [ 9 ]. In fact, the increment of the population in urban areas, the increasing interdependencies among physical and cyber infrastructure, the neighboring of transportation systems with hazardous production facilities—along with the threats of climate change and terrorism—are creating significant challenges for the UTS as a critical infrastructure system.…”

Section: Introductionmentioning

confidence: 99%

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An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities

Bellini

Cenni

et al. 2021

Sensors

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Today, the complexity of urban systems combined with existing and emerging threats constrains administrations to consider smart technologies and related huge amounts of data generated as a means to take timely and informed decisions. The smart city needs to be prepared for both expected and unexpected situations, and the possibility to mitigate the effect of the uncertainty behind the causes of disruptions through the analysis of all the possible data generated by the city open new possibility for resilience operationalization. This article aims at introducing a new conceptualization for resilience and presenting an innovative full stack solution to exploit Internet of Everything (IoE) and big multimedia data in smart cities to manage resilience of urban transport systems (UTS), which is one of the most critical infrastructures of the city. The approach is based on a novel data driven approach to resilience engineering and functional resonance analysis method (FRAM), to understand and model an UTS in the context of smart cities and to support evidence driven decision making. The paper proposes an architecture taking into account: (a) different kinds of available data generated in the smart city, (b) big data collection and semantic aggregation and enrichment; (c) data sense-making process composed by analytics of different data sources like social media, communication networks, IoT, user behavior; (d) tools for knowledge driven decisions able to combine different information generated by analytics, experience, and structural information of the city into a comprehensive and evidence driven decision model. The solution has been applied in Florence metropolitan city in the context of RESOLUTE H2020 research project of the European Commission.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities

Bellini

Cenni

et al. 2021

Sensors

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“…This balance must be built around efficiency as much as possible by maintaining operations close to the limits of system capacities and making the most of the resources available, all the while by still devoting enough attention and resources to safety as to avoid exceeding system capacities [5]. In this perspective assessing, resilience means to quantify such an ability to sustain required operations in both expected and unexpected conditions [1]. The large number of human, organizational, and technical aspects, together with their fast pace changing behavior, imposes serious limitations to the ability to fully understand and monitor system operations.…”

Section: Resilience Engineering Perspectivementioning

confidence: 99%

A Functional Resonance Analysis Method Driven Resilience Quantification for Socio-Technical Systems

Bellini

Coconea

Nesi

2020

IEEE Systems Journal

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Due to the continuous increment in complexity of the socio-technical systems, decision makers call for new methods which are able to support timely as well as accurate decisionmaking related to resilience management. The current methods tend to be polarized on: efficiency-thoroughness forcing decision makers in making decisions on the base of resource availability instead of the problem to be solved. This paper presents a new fast-forward, cost-effective, and thorough enough framework to quantify resilience of a complex socio-technical system. The approach extends the functional resonance analysis method (FRAM) with a numerical method for the quantification of the analysis (Q-FRAM). In particular, it has been extended and operationalized the qualitative concepts of functional variability and dumping capacities into a method in which key performance indicators are derived from the model and aggregated into four indicators representing the FRAM resilience cornerstones (anticipate, respond, monitor, learn) through a bottom-up hierarchical approach. Finally, the four indicators are composed in a unique system resilience index that expresses the total variability present in the system at instant t. A numerical example of the use of the framework is provided together with a validation based on a comparison of the proposed approach with the current landscape.

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“…To enhance this capacity during anticipated and unforeseen circumstances, the NCA recognizes the need to strengthen its border facilities ("Norwegian Customs Strategy -Norwegian Customs" n.d.) As part of its strategy, NCA is collaborating with the Norwegian government's building commissioner (Statsbygg) to develop a "standardized border facility" comprising modular units with flexible design, size, and local adaptations to cater to the agency's current and future operational requirements. Nevertheless, the success of this initiative hinges on daily collaboration among stakeholders, particularly in responding to unforeseen events Steen, et al, 2022) (Bellini, Nesi, and Ferreira 2016). Furthermore, the lessons learned from the COVID-19 pandemic (Golunov and Smirnova 2022) present an opportunity to improve emergency planning and border facility design, fostering interdisciplinary cooperation during co-location requirements.…”

Section: Introductionmentioning

confidence: 99%

Applying Functional Resonance Analysis Method to Strengthen Resilience in the Norwegian Customs Infrastructure

Gregersen,

Haugen,

Løvstad

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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Accelerated globalization, climate change, and armed conflicts generate emerging security challenges at borders for the Norwegian custom administration (CA) authorities. CA has a critical role in governing management efforts to mitigate threats related to their social mission. Nevertheless, besides daily operational challenges, dealing with some events may go beyond the standard procedures and propagates over multiple interconnected functions delivered by other governmental agencies such as police-and health department. Managing such complexities in a CA's operational context requires a holistic management system capable of addressing uncertainties and interconnectivity between involved agencies. In this regard, resilience-based thinking, and its design in the system under study has been acknowledged to be promising for dealing with dynamicity and managing risk proactively. This study applies concepts and approaches from the resilience engineering field and explores the Norwegian Customs' ability to colocate and coordinate with other government responding agencies at the border. We examine the interoperability between involved agencies in joint operations through the lens of the Functional Resonance Analysis Method (FRAM). Our findings support the advantages of FRAM in studying a system's attributes. We conclude by outlining recommendations for strengthening resilience in the Norwegian customs border facilities such as a holistic approach to risk management, emergency planning and training for cooperation and co-location and proposing further research endeavors.

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Towards resilience operationalization in urban transport system: The RESOLUTE project approach

Cited by 13 publications

References 2 publications

An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities

An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities

A Functional Resonance Analysis Method Driven Resilience Quantification for Socio-Technical Systems

Applying Functional Resonance Analysis Method to Strengthen Resilience in the Norwegian Customs Infrastructure

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