International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 116, P. 105155 - 105155
Published: Dec. 26, 2024
Language: Английский
International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 110, P. 104629 - 104629
Published: June 24, 2024
Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or even human beings with substantial potential to revolutionize post-disaster risk management efforts and achieve resilient communities against adverse effects disasters. However, this remains largely unrecognized poorly understood in disaster management. This study explores current achievements, existing challenges, untapped DT management, accordingly, proposes an improved twin-based framework. paper employs a systematic literature review approach focusing on digital twinning (DPRMT) derived from two databases: Scopus Web Science. After screening process exclusion criteria, final analysis synthesizes findings selected set 96 papers. The results revealed that previous studies are not beyond only providing general statements about DT. There need for diverse data collection methods, considering demographic financial aspects, understanding social dynamics, employing dynamic models, recognizing interconnected giving due attention often-neglected recovery phase. comprehensive DPRMT concept framework leveraging decision-makers holistic efficient offers real-time, detailed, data-driven modeling solutions insights into disaster-affected areas communities. It also helpful optimize response planning, resource allocation, scenario testing by capturing complex behaviors systems entities often overlooked studies.
Language: Английский
Citations
17
Data-Centric Engineering, Journal Year: 2024, Volume and Issue: 5
Published: Jan. 1, 2024
Abstract This article proposes a framework of linked software agents that continuously interact with an underlying knowledge graph to automatically assess the impacts potential flooding events. It builds on idea connected digital twins based World Avatar dynamic create semantically rich asset data, knowledge, and computational capabilities accessible humans, applications, artificial intelligence. We develop three new ontologies describe link environmental measurements their respective reporting stations, flood events, impact population built infrastructure as well environment city itself. These coupled are deployed dynamically instantiate near real-time data from multiple fragmented sources into Avatar. Sequences autonomous via derived information consequences newly instantiated such raised warnings, cascade updates through ensure up-to-date insights number people building stock value at risk. Although we showcase strength this technology in context flooding, our findings suggest system-of-systems approach is promising solution build holistic for various other contexts use cases support truly interoperable smart cities.
Language: Английский
Citations
12
Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132893 - 132893
Published: Feb. 1, 2025
Language: Английский
Citations
1
npj natural hazards., Journal Year: 2025, Volume and Issue: 2(1)
Published: April 3, 2025
Language: Английский
Citations
1
Energy and AI, Journal Year: 2024, Volume and Issue: 17, P. 100376 - 100376
Published: May 18, 2024
This paper presents a knowledge graph-based approach for the dynamic control of district heating network with integrated emission dispersion modelling. We propose an interoperable and extensible implementation to forecast anticipated heat demand municipal network, minimise associated total generation cost based on previously devised methodology, couple it simulations induced airborne pollutants provide automatic insights into air quality implications various sourcing strategies. create cross-domain interoperability in nexus energy via newly developed ontologies semantic software agents, which can be chained together The World Avatar graph resemble behaviour complex systems. Furthermore, we integrate City Energy Analyst this ecosystem building-level renewable potential foster strategic analyses scenario planning. Underlying calculations use building weather data from place inherent assumptions official release, facilitating more data-driven approach. All cases are implemented mid-size town Germany as proof-of-concept, unified visualisation interface is provided, allowing examination 3D buildings alongside their corresponding supply time series, well data. With work, outline Semantic Web technologies connect digital twins holistic modelling smart cities, thereby addressing increasing complexity interconnected
Language: Английский
Citations
5
Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105708 - 105708
Published: July 31, 2024
Language: Английский
Citations
4
Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106317 - 106317
Published: Jan. 1, 2025
Language: Английский
Citations
0
Systems Science & Control Engineering, Journal Year: 2025, Volume and Issue: 13(1)
Published: Feb. 7, 2025
Digital twin-based resilience management systems are essential for improving urban flooding resilience, enabling lifecycle-oriented emergency as a continuous process rather than discrete phases. However, to the best of our knowledge, currently, there lacks system framework supporting development an digital twin (UFDT) platform capable managing events across entire lifecycle. This UFDT is required (1) accommodate model-generation methods/tools preparing what-if scenarios, (2) support readiness simulations and evaluations, (3) coordinate various collaborative prevention intervention services from different stakeholders in response any emergence, (4) monitor forecast risks recovery phase. To fill this gap, paper, new developed based on user-centred product design with consideration above requirements. It has two key components: conceptual model, generative methodology its rapid construction/updating/adaptation varying levels detail. A prototype been testing model at city, regional street exemplar assess framework's ability potential provide scalable, adaptable, stakeholder-focused solutions management[Q1].
Language: Английский
Citations
0
Automation in Construction, Journal Year: 2025, Volume and Issue: 174, P. 106131 - 106131
Published: March 22, 2025
Language: Английский
Citations
0
Environment and Planning B Urban Analytics and City Science, Journal Year: 2025, Volume and Issue: unknown
Published: March 25, 2025
Urban Digital Twins (UDTs) have emerged as integrated collections of urban data and models aspiring to enhance planning decision-making processes. However, current UDTs often fail connect siloed disciplines, represent diverse stakeholder views, or adapt the dynamic nature Realizing potentials is hindered by these socio-technical challenges, we developed validated FMU Ontology address them. provides a set semantic representations that (1) promote interoperability integration across disciplinary models, (2) enable developing using network stakeholder-specific facilitate engagement consensus-building, (3) embed within processes allow stakeholders’ questions priorities evolve. Furthermore, validate efficacy through consistency competency tests. Lastly, in case study on strategic densification Eindhoven, Netherlands, demonstrate how enables adaptive collaborative use UDTs, addressing key challenges decision-making.
Language: Английский
Citations
0