Distributed and scalable platform architecture for smart cities complex events data collection: Covid19 pandemic use case

Basmi, Wadii; Boulmakoul, Azedine; Karim, Lamia; Lbath, Ahmed

doi:10.1007/s12652-020-02852-9

Cited by 15 publications

(12 citation statements)

References 13 publications

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“…In light of recent global events, implementing new technology in smart cities ( Abusaada & Elshater, 2020 ) requires an integrated infrastructure to detect and prevent a public health emergency ( Costa & Peixoto, 2020 ). Several digital solutions have been developed during the pandemic to implement a strategy to contain the virus spread, monitor human stress, and collective wellbeing, and collect complex space-time events in a smart city related to Covid-19 safety measures ( Basmi et al, 2021 ). As happened in several smart cities, the proper combination of a contact-tracing app, robots, and digital thermal-gantries put in place by the government to trace, track and mitigate the early first wave of the pandemic along with the civil society involvements to manage the spread of the virus proved essential for containing the pandemic crisis (Söderström, 2020).…”

Section: Literature Review and Theoretical Background Of The Studymentioning

confidence: 99%

Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic

Troisi

Fenza

Grimaldi

et al. 2022

Computers in Human Behavior

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The spread of Covid-19 profoundly changed citizens' daily lives due to the introduction of new modes of work and access to services based on smart technologies. Although the relevance of new technologies as strategic levers for crisis resolution has been widely debated before the pandemic, especially in the smart cities' context, how individuals have agreed to include the technological changes dictated by the pandemic in their daily interactions remains an open question. This paper aims at detecting citizens' sentiment toward technology before and after the emergence of the Covid-19 pandemic using Fuzzy Formal Concept Analysis (FFCA) to analyze a large corpus of tweets. Specifically, citizens' attitudes in five cities (Berlin, Dublin, London, Milan, and Madrid) were explored to extract and classify the key topics related to the degree of confidence, familiarity and approval of new technologies. The results shed light on the complex technology acceptance process and help managers identify the potential negative effects of smart technologies. In this way, the study enhances scholars' and practitioners' understanding of the strategies for enabling the use of technology within smart cities to manage the transformations introduced by the health emergency and guide citizens’ behaviour.

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Section: Literature Review and Theoretical Background Of The Studymentioning

confidence: 99%

Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic

Troisi

Fenza

Grimaldi

et al. 2022

Computers in Human Behavior

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“…There are questions to be raised, for example, about the increasing difficulty of ‘opting out’ of platform urbanism and the broader platform economy (Spangler 2020 ), as pandemic digital governance includes considering measures such as ‘voluntary’ vaccine passports that will unlock access to transport (especially air travel and international destinations) and which are recognised across multiple jurisdictions and borders. There have also been calls to use platform technologies in the context of pandemic urban governance, as a way of monitoring, recording and reporting compliance with pandemic measures (Basmi et al 2021 ). These trends raise issues around: a) who is potentially excluded in platform-based pandemic governance, such as those who cannot or elect not to take vaccines, those who live in less wealthy countries where platform technologies are not a feasible current option, or citizens with less agency in specific contexts, such as internal migrants; and b) the bodily experience of platform-enabled pandemic urbanism (Bissell 2020 ), including the quotidian negotiations between platform urbanism’s actor networks and the citizen-as-consumer conjoined with the citizen-as-biopolitical-subject.…”

Section: Discussion and Conclusion: Directions For A Research Agenda ...mentioning

confidence: 99%

Beyond the smart city: a typology of platform urbanism

2022

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Platform urbanism has emerged in recent years as an area of research into the ways in which digital platforms are increasingly central to the governance, economy, experience, and understanding of the city. In the paper, we argue that platform urbanism is an evolution of the smart city, constituted by novel, digitally-enabled socio-technical assemblages that enable new forms of social, economic and political intermediation. We offer a typological framework for a better conceptualization of platform urbanism and its complex socio-economic relationships. We further outline several directions for future research on platform urbanism, specifically: a.) the need to critically investigate new power geometries of corporate, legal and regulatory alignments; b.) how platform urbanism may be expressed in, and affect, cities in the Global South; c.) how it may need to be critically engaged with in regard to its development in response to emergent events such as the Covid-19 pandemic; and d.) how it may shape visions of the current and future city.

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“…The current modelling could be extended when more network information (e.g. from tracing applications [6]) becomes available.…”

Section: Discussionmentioning

confidence: 99%

Real-time Updating of Dynamic Social Networks for COVID-19 Vaccination Strategies

Cheng

Arcucci

Pain

et al. 2021

Preprint

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Vaccination strategy is crucial in fighting against the COVID-19 pandemic. Since the supply is limited, contact network-based interventions can be most powerful to set an optimal strategy by identifying high-risk individuals or communities. However, due to the high dimension, only partial and noisy network information can be available in practice, especially for dynamical systems where the contact networks are highly time-variant. Furthermore, numerous mutations of SARS-CoV-2 impact considerably the current infectious probability, requiring real-time network updating algorithms. In this study, we propose a sequential network updating approach based on data assimilation techniques to combine different sources of temporal information. We then prioritise the individuals with high-degree or high-centrality, obtained from the assimilated networks, for vaccination. The assimilation-based approach is compared with the standard method (based on partially observed networks) and a random selection strategy in terms of vaccination effectiveness in a SIR model. The numerical comparison is first carried out using real-world face-to-face dynamical networks collected in a high school, following by sequential multi-layer networks, generated relying on the Barabasi-Albert model emulating the department of Computing at Imperial College London in the UK as an example.

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Distributed and scalable platform architecture for smart cities complex events data collection: Covid19 pandemic use case

Cited by 15 publications

References 13 publications

Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic

Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic

Beyond the smart city: a typology of platform urbanism

Real-time Updating of Dynamic Social Networks for COVID-19 Vaccination Strategies

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