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

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...

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Bibliographic Details
Published inSmart cities (Basel) Vol. 4; no. 1; pp. 286 - 313
Main Authors Shahat Osman, Ahmed M., Elragal, Ahmed
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2021
Subjects
Artificial intelligence
Big Data
big data analytics
Complex systems
Context
Data analysis
data-driven decision making
Decision analysis
Decision making
Domains
Empirical analysis
Foundations
Information systems
Informationssystem
Internet of Things
Literature reviews
Smart cities
Stakeholders
System of systems
use case
Voice of Patients
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Summary: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.
ISSN:2624-6511
2624-6511
DOI:10.3390/smartcities4010018