A survey of blockchain applications in sustainable and smart cities
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Several studies have been conducted on emerging environmentally sustainable smart cities.
“Several studies have, in more recent years, been conducted on emerging environmentally sustainable smart cities”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Makani et al. 2022
Smart cities and sustainable cities have recently started to integrate a wide variety of data-driven technologies and green technologies and support technological and environmental innovations capable of enabling environmentally sustainable urban development.
“Indeed, smart cities and sustainable cities have recently started to integrate a wide variety of these data-driven technologies and green technologies and support those technological and environmental innovations capable of enabling and delivering environmentally sustainable urban development (Almalki et al. 2021; Gourisaria et al. 2023; Makani et al. 2022; Saravanan and Sakthinathan 2021).”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Makani et al. 2022
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- Authors
- Makani, S., Pittala, R., Alsayed, E., Aloqaily, M., & Jararweh, Y.
- Affiliations
- Duquesne University (US)
- Mohamed bin Zayed University of Artificial Intelligence (AE)
- Corresponding author
- Aloqaily, Moayad
- Venue
- Cluster Computing
- Published
- 2022-05-29
- Volume
- 25
- Issue
- 6
- Pages
- 3915-3936
- ISSN
- 1386-7857 (ISSN-L)
- 1573-7543
- OpenAlex
- W4281746927
- Cited by
- 66
- References
- 101
- Citations by year
- 2026: 5 · 2025: 17 · 2024: 17 · 2023: 19 · 2022: 8
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cluster Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, smart cities, distributed ledger technology, smart governance, smart transportation, smart grid, smart healthcare, home automation, e-commerce, urban sustainability, decentralized services, data integrity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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