A Smart City Fighting Pollution, by Efficiently Managing and Processing Big Data from Sensor Networks

Iancu, Voichiţa; Stegaru, Silvia Cristina; Tudose, Dan Ștefan

doi:10.1007/978-3-319-44881-7_23

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…The first perspective deals with BDA implementation in a specific domain, while the second perspective deals with technological aspects. From an application perspective, BDA utilization has been addressed in various smart city domains, such as planning [3,10,22,23], traffic control and transportation [24,25], crime analysis [7], energy [26], environment [27], healthcare [8,14,28], and logistics [19]. A direct and intuitive way to evaluate the impact of incorporating BDA in decision-making on the efficiency of the decision taken is to track a quantified performance measure indicator (e.g., processing time, service cost) before and after applying the decisions.…”

Section: Related Workmentioning

confidence: 99%

Data-Driven Decisions in Smart Cities: A Digital Transformation Case Study

2022

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The relationship between big data analytics (BDA) and smart cities (SCs) has been addressed in several articles. However, few articles have investigated the influence of exploiting BDA in data-driven decision-making from an empirical perspective in a case study context. Accordingly, we aim to tackle this scarcity of case-study research addressing the interrelationships between SCs, BDA, and decision-making. Filling this gap will shed light on the challenges and design principles that should be considered in designing a BDA artifact in the domain of smart cities. We analyze a case study of a digital transformation project in Egypt. Results show a tangible positive effect of utilizing data analytics in support of the decision-making process.

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Section: Related Workmentioning

confidence: 99%

Data-Driven Decisions in Smart Cities: A Digital Transformation Case Study

2022

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“…Given the complex and dynamic nature of SC projects and the diversity of the involved stakeholders from the early stages of planning to the last stages of daily service monitoring and management, we can recognize the volumes of the accumulated BD during these stages in addition to the diversity of stakeholder requirements. Although there is a plethora of articles addressing the applications of BDA in different SC domains [20][21][22][23][24][25][26], few articles have presented propositions to develop domainindependent BDA frameworks that can serve the analytical requirements of stakeholders during different SC project stages [10,15,18] and at the same time preserve and interchange the extracted analytics.…”

Section: Big Data Analytics and Data-driven Decision-makingmentioning

confidence: 99%

Smart Cities and Big Data Analytics: A Data-Driven Decision-Making Use Case

Osman

Elragal

2021

Smart Cities

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Interest in smart cities (SCs) and big data analytics (BDA) has increased in recent years, revealing the bond between the two fields. An SC is characterized as a complex system of systems involving various stakeholders, from planners to citizens. Within the context of SCs, BDA offers potential as a data-driven decision-making enabler. Although there are abundant articles in the literature addressing BDA as a decision-making enabler in SCs, mainstream research addressing BDA and SCs focuses on either the technical aspects or smartening specific SC domains. A small fraction of these articles addresses the proposition of developing domain-independent BDA frameworks. This paper aims to answer the following research question: how can BDA be used as a data-driven decision-making enabler in SCs? Answering this requires us to also address the traits of domain-independent BDA frameworks in the SC context and the practical considerations in implementing a BDA framework for SCs' decision-making. This paper's main contribution is providing influential design considerations for BDA frameworks based on empirical foundations. These foundations are concluded through a use case of applying a BDA framework in an SC's healthcare setting. The results reveal the ability of the BDA framework to support data-driven decision making in an SC.

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“…There are many applications for implementing BDA in various smart city domains, such as for planning [10], traffic control and transportation [11]. Analysis of crime [12], energy sector [13] and environment [14]. In order to design software that is in accordance with the objectives of a smart city, it is necessary to identify aspects of functional requirements and non-function requirements related to data sources and their management.…”

Section: Fig1 Find Knowledge In the Databasementioning

confidence: 99%

Studi On Big Data Analytics Framework in Smart City Context

2021

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The issue of global urbanization, which is a separate problem faced by the government, is the very rapid growth of population density in cities. To face this challenge, the government launched a smart city project by targeting sustainable economic growth and improving the quality of life. Information and Communication Technology governance is the key to realizing a smart city. However, each of these I.C.T. tools produce large amounts of data known as Big Data. Data processing with the Big Data approach is becoming a trend in information systems to provide better public services and provide references in the policy-making process. However, to obtain important information in the scope of big data, a Big Data Analytics process is needed, also known as Big Data Value Chain. Extracting knowledge from the related literature can identify the characteristics of the big data analytic framework for smart cities. This paper reviews several big data analytic frameworks applied to smart cities. This paper is to find the advantages and disadvantages of each framework so that it can be a direction for future research

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A Smart City Fighting Pollution, by Efficiently Managing and Processing Big Data from Sensor Networks

Cited by 5 publications

References 25 publications

Data-Driven Decisions in Smart Cities: A Digital Transformation Case Study

Data-Driven Decisions in Smart Cities: A Digital Transformation Case Study

Smart Cities and Big Data Analytics: A Data-Driven Decision-Making Use Case

Studi On Big Data Analytics Framework in Smart City Context

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