Using social paradigms in smart cities mobile context-aware computing

Kamberov, Rustam

doi:10.1109/cisti.2016.7521515

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…This is due to the current capabilities as well as the prospective advancements pertaining to big data analytics and context-aware computing as advanced forms of ICT, in addition to their increasing amalgamation in various urban domains and systems in terms of the underlying core enabling technologies, namely sensor devices, computing infrastructures, data processing platforms, and wireless communication networks (e.g. Al Nuaimi et al 2015;Batty et al 2012;Bibri and Krogstie 2016b;Böhlen and Frei 2009;DeRen, JianJun and Yuan 2015;Kamberov 2015;Khan, Anjum and Kiani 2014;Khan et al 2015;Shepard 2011;Solanas et al 2014). In all, a smarter city can be described as a city where advanced ICT is combined with physical, infrastructural, architectural, operational, functional, and ecological systems across many spatial scales, as well as with urban planning approaches, with the aim of improving efficiency, sustainability, equity, and livability.…”

Section: Smarter Citiesmentioning

confidence: 99%

ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts

Bibri

Krogstie

2017

Sustainable Cities and Society

133

111

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Undoubtedly, sustainable development has inspired a generation of scholars and practitioners in different disciplines into a quest for the immense opportunities created by the development of sustainable urban forms for human settlements that will enable built environments to function in a more constructive and efficient way. However, there are still significant challenges that need to be addressed and overcome. The issue of such forms has been problematic and difficult to deal with, particularly in relation to the evaluation and improvement of their contribution to the goals of sustainable development. As it is an urban world where the informational and physical landscapes are increasingly being merged, sustainable urban forms need to embrace and leverage what current and future ICT has to offer as innovative solutions and sophisticated methods so as to thrive-i.e. advance their contribution to sustainability. The need for ICT of the new wave of computing to be embedded in such forms is underpinned by the recognition that urban sustainability applications are deemed of high relevance to the contemporary research agenda of computing and ICT. To unlock and exploit the underlying potential, the field of sustainable urban planning is required to extend its boundaries and broaden its horizons beyond the ambit of the built form of cities to include technological innovation opportunities. This paper explores and substantiates the real potential of ICT of the new wave of computing to evaluate and improve the contribution of sustainable urban forms to the goals of sustainable development. This entails merging big data and context-aware technologies and their applications with the typologies and design concepts of sustainable urban forms to achieve multiple hitherto unrealized goals. In doing so, this paper identifies models of smart sustainable city and their technologies and applications and models of sustainable urban form and their design concepts and typologies. In addition, it addresses the question of how these technologies and applications can be amalgamated with these design concepts and typologies in ways that ultimately evaluate and improve the contribution of sustainable urban forms to the goals of sustainable development. The overall aim of this paper suits a mix of three methodologies: literature review, thematic analysis, and secondary (qualitative) data analysis to achieve different but related objectives. The study identifies four technologies and two classes of applications pertaining to models of smart sustainable city as well as three design concepts and four typologies related to models of sustainable urban form. Finally, this paper proposes a Matrix to help scholars and planners in understanding and analyzing how the contribution of sustainable urban forms to sustainability can be improved through ICT of the new wave of computing and its novel technologies and applications, as well as a data-centric approach into evaluating this contribution and a simulation method for strategically optimizing it.

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Section: Smarter Citiesmentioning

confidence: 99%

ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts

Bibri

Krogstie

2017

Sustainable Cities and Society

133

111

View full text Add to dashboard Cite

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“…Today, a large part of ICT investment from large technology companies like IBM, Oracle, Microsoft, SAP, and CISCO is being funneled into and directed towards how to process, analyze, manage, model, and simulate big data. In parallel, research on big data is very active in many universities and research institutions across the globe.Context-aware computing constitutes a key component of the infrastructures of smart sustainable cities (e.g Bibri and Krogstie 2016b;Kamberov 2015;Solanas et al 2014Riva et al 2008)…”

mentioning

confidence: 99%

Smart sustainable cities of the future: An extensive interdisciplinary literature review

Bibri

Krogstie

2017

Sustainable Cities and Society

1,039

615

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The overview of existing work on smart sustainable cities is comprehensive, thorough, and original. Several critical issues remain unsettled, less explored, and theoretically underdeveloped for applied purposes New opportunities exist and can be realized in the ambit of smart sustainable city development There is a need for the development of a theoretically and practically novel model of smart sustainable urban form The proposed approach is believed to be the first of its kind into addressing the challenge of urban sustainability

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“…Context-aware computing is becoming increasingly a key component of the infrastructure of smart sustainable cities (e.g. [5,6,11,97] and future smart cities (e.g. [98]).…”

Section: Context Awareness Technology For Urban Sustainabilitymentioning

confidence: 99%

The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis

2017

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Data sensing, information processing, and networking technologies are being fast embedded into the very fabric of the contemporary city to enable the use of innovative solutions to overcome the challenges of sustainability and urbanization. This has been boosted by the new digital transition in ICT. Driving such transition predominantly are big data analytics and context-aware computing and their increasing amalgamation within a number of urban domains, especially as their functionality involve more or less the same core enabling technologies, namely sensing devices, cloud computing infrastructures, data processing platforms, middleware architectures, and wireless networks. Topical studies tend to only pass reference to such technologies or to largely focus on one particular technology as part of big data and context-aware ecosystems in the realm of smart cities. Moreover, empirical research on the topic, with some exceptions, is generally limited to case studies without the use of any common conceptual frameworks. In addition, relatively little attention has been given to the integration of big data analytics and context-aware computing as advanced forms of ICT in the context of smart sustainable cities. This endeavor is a first attempt to address these two major strands of ICT of the new wave of computing in relation to the informational landscape of smart sustainable cities. Therefore, the purpose of this study is to review and synthesize the relevant literature with the objective of identifying and distilling the core enabling technologies of big data analytics and context-aware computing as ecosystems in relevance to smart sustainable cities, as well as to illustrate the key computational and analytical techniques and processes associated with the functioning of such ecosystems. In doing so, we develop, elucidate, and evaluate the most relevant frameworks pertaining to big data analytics and context-aware computing in the context of smart sustainable cities, bringing together research directed at a more conceptual, analytical, and overarching level to stimulate new ways of investigating their role in advancing urban sustainability. In terms of originality, a review and synthesis of the technical literature has not been undertaken to date in the urban literature, and in doing so, we provide a basis for urban researchers to draw on a set of conceptual frameworks in future research. The proposed frameworks, which can be replicated and tested in empirical research, will add additional depth and rigor to studies in the field. In addition to reviewing the important works, we highlight important applications as well as challenges and open issues. We argue that big data analytics and context-aware Krogstie J Big Data (2017) 4:38 DOI 10.1186/s40537-017-0091-6 Data (2017) 4:38 computing are prerequisite technologies for the functioning of smart sustainable cities of the future, as their effects reinforce one another as to their efforts for bringing a whole new dimension to the operating and organiz...

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Using social paradigms in smart cities mobile context-aware computing

Cited by 5 publications

References 27 publications

ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts

ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts

Smart sustainable cities of the future: An extensive interdisciplinary literature review

The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis

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