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

• Main Authors: Ahmed M. Shahat Osman, Ahmed Elragal
• Format: Article
• Language: English
• Published: MDPI AG 2021-02-01
• Series: Smart Cities
• Subjects: big data analytics; smart cities; data-driven decision making; use case; Voice of Patients
• Online Access: https://www.mdpi.com/2624-6511/4/1/18

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.