The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability
By Simon Elias Bibri. 2018
613 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Media Technology, Transportation
View Paper: https://www.semanticscholar.org/paper/355a0fd1abe363a5e6d8d56e9faf7f9a03d4c174
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In Computer Networks and Communications
In Media Technology
In Transportation
Citations in the corpus
- The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations (2021, background): “, location-based services from smart city IoT sensing and data analysis can reduce transportation pollution through more efficient driving routes.(53) Govindan et al.”
- Smart City Governance in Developing Countries: A Systematic Literature Review (2020, background): “There is also a growing concern with the ability of smart city development to safeguard environmental sustainability [2,7,12,18,20].”
- Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights (2021, background): “279 There are two possible ways to merge these two systems into one.”
- Smart cities with big data: Reference models, challenges, and considerations (2018, methodology): “…Ben Sta, 2017), integrating data from di ff erent sources (e.g., Clarke & Steele, 2011; Ruijer et al., 2017), protecting personal data privacy (e.g., Bibri, 2018b; Kitchin, 2014), understanding the needs of people (i.e., citizens, visitors, and employees) (e.g., Afzalan et al., 2017; Díaz-Díaz et…”