The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Smart cities with big data: Reference models, challenges, and considerations
Open accessAbstract
Cities worldwide are attempting to transform themselves into smart cities. Recent cases and studies show that a key factor in this transformation is the use of urban big data from stakeholders and physical objects in cities. However, the knowledge and framework for data use for smart cities remain relatively unknown. This paper reports findings from an analysis of various use cases of big data in cities worldwide and the authors' four projects with government organizations toward developing smart cities. Specifically, this paper classifies the urban data use cases into four reference models and identifies six challenges in transforming data into information for smart cities. Furthermore, building upon the relevant literature, this paper proposes five considerations for addressing the challenges in implementing the reference models in real-world applications. The reference models, challenges, and considerations collectively form a framework for data use for smart cities. This paper will contribute to urban planning and policy development in the modern data-rich economy.
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Cited by
On big data, artificial intelligence and smart cities
Allam, Z., & Dhunny, Z. A. (2019) · Cities · doi:10.1016/j.cities.2019.01.032 · Cited by 1,178
Appio, F. P., Lima, M., & Paroutis, S. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.12.018 · Cited by 747
Smart cities—a structured literature review
Gracias, J. S., Parnell, G. S., Specking, E., Pohl, E. A., & Buchanan, R. (2023) · Smart Cities · doi:10.3390/smartcities6040080 · Cited by 476
Atitallah, S. B., Driss, M., Boulila, W., & Ghézala, H. B. (2020) · Computer Science Review · doi:10.1016/j.cosrev.2020.100303 · Cited by 375
Kummitha, R. K. R. (2020) · Government Information Quarterly · doi:10.1016/j.giq.2020.101481 · Cited by 268
Metadata
- Authors
- Lim, C., Kim, K.-J., & Maglio, P. P.
- Venue
- Cities
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 82
- Pages
- 86-99
- ISSN
- 0264-2751 (ISSN-L)
- OpenAlex
- W2804319089
- Cited by
- 466
- References
- 83
- FWCI
- 43.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
