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Article

Implementing Data-Driven Smart City Applications for Future Cities

The School of the Built Environment and Architecture, London South Bank University, 103 Borough Road, London SE1 0AA, UK
Academic Editor: Pierluigi Siano
Smart Cities 2022, 5(2), 455-474; https://doi.org/10.3390/smartcities5020025
Received: 2 February 2021 / Revised: 15 February 2022 / Accepted: 21 February 2022 / Published: 30 March 2022
Cities are investing in data-driven smart technologies to improve performance and efficiency and to generate a vast amount of data. Finding the opportunities to innovatively use this data help governments and authorities to forecast, respond, and plan for future scenarios. Access to real-time data and information can provide effective services that improve productivity, resulting in environmental, social, and economic benefits. It also assists in the decision-making process and provides opportunities for community engagement and participation by improving digital literacy and culture. This paper aims to review and analyze current practices of data-driven smart applications that contribute to the smooth functioning of urban city systems and the problems they face. The research methodology is qualitative: a systematic and extensive literature review carried out by PRISMA method. Data and information from different case studies carried out globally assisted in the inductive approach. Content analysis identified smart city indicators and related criteria in the case study examples. The study concluded that smart people, smart living, and smart governance methods that have come into practice at a later stage are as important as smart mobility, smart environments, and smart economy measures that were implemented early on, and cities are opening up to new, transparent participatory governance approaches where citizens play a key role. It also illustrates that the current new wave of smart cities with real time data are promoting citizen participation focusing on human, social capital as an essential component in future cities. View Full-Text
Keywords: smart cities; future cities; data-driven applications; smart applications; smart city indicators; digital literacy; digital culture smart cities; future cities; data-driven applications; smart applications; smart city indicators; digital literacy; digital culture
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MDPI and ACS Style

Kaluarachchi, Y. Implementing Data-Driven Smart City Applications for Future Cities. Smart Cities 2022, 5, 455-474. https://doi.org/10.3390/smartcities5020025

AMA Style

Kaluarachchi Y. Implementing Data-Driven Smart City Applications for Future Cities. Smart Cities. 2022; 5(2):455-474. https://doi.org/10.3390/smartcities5020025

Chicago/Turabian Style

Kaluarachchi, Yamuna. 2022. "Implementing Data-Driven Smart City Applications for Future Cities" Smart Cities 5, no. 2: 455-474. https://doi.org/10.3390/smartcities5020025

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