2022
DOI: 10.5194/isprs-archives-xlvi-4-w3-2021-315-2022
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Digital Twin for Indoor Disaster in Smart City: A Systematic Review

Abstract: Abstract. Technology has advanced and progressed tremendously, and the term city is being elevated to a new level where the smart city has been introduced globally. Recent developments in the concept of smart city have led to a renewed interest in Digital Twin. Using precise Building Information Modelling (BIM) consolidated with big data and sensors, several attempts have been made to establish digital twin smart cities. In recent years, several researchers have sought to determine the capability of smart city… Show more

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Cited by 13 publications
(7 citation statements)
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“…The research provides systematic knowledge on DT applications in EMCI, offering insights for academics and practitioners to develop feasible DTs that meet the growing needs of emergency management in infrastructure. The paper "Digital twin for indoor disaster in smart city: a systematic review" by Shaharuddin et al [39] presents a systematic review of the application of digital twins (DTs) in indoor disaster management within smart cities. It explores the integration of Building Information Modeling (BIM), big data, and sensors to create digital twin smart cities.…”
Section: Discussion Of Additional Workmentioning
confidence: 99%
“…The research provides systematic knowledge on DT applications in EMCI, offering insights for academics and practitioners to develop feasible DTs that meet the growing needs of emergency management in infrastructure. The paper "Digital twin for indoor disaster in smart city: a systematic review" by Shaharuddin et al [39] presents a systematic review of the application of digital twins (DTs) in indoor disaster management within smart cities. It explores the integration of Building Information Modeling (BIM), big data, and sensors to create digital twin smart cities.…”
Section: Discussion Of Additional Workmentioning
confidence: 99%
“…Digital twins of buildings are invariably based on BIM (Boje et al 2020;Sacks et al 2020;Begić and Galić 2021;Mêda et al 2021;Shahat et al 2021;Tagliabue et al 2021;Alibrandi 2022;Shaharuddin et al 2022). At the same time, it is stressed that digital twinning is more than BIM, as it includes sociotechnical and process aspects, especially in use (Boje et al 2020;Davila Delgado and Oyedele 2021;Sepasgozar 2021).…”
Section: Digital Twinningmentioning
confidence: 99%
“…Over the last decade, the number of ML applications dedicated to energy management for building environment has increased significantly, as evidenced by the high number of scientific studies and reviews in the literature [11,[24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]. The main topics investigated are prediction of load and power, fault detection and diagnosis (FDD), and occupancy-related applications.…”
Section: Fields Of Applicationmentioning
confidence: 99%