Smart City Gnosys
Smart city article details
| Title | Smart City Data Science: Towards Data-Driven Smart Cities With Open Research Issues |
|---|---|
| ID_Doc | 50152 |
| Authors | Sarker I.H. |
| Year | 2022 |
| Published | Internet of Things (Netherlands), 19 |
| DOI | http://dx.doi.org/10.1016/j.iot.2022.100528 |
| Abstract | Cities are undergoing huge shifts in technology and operations in recent days, and 'data science' is driving the change in the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR). Extracting useful knowledge or actionable insights from city data and building a corresponding data-driven model is the key to making a city system automated and intelligent. Data science is typically the scientific study and analysis of actual happenings with historical data using a variety of scientific methodologies, machine learning techniques, processes, and systems. In this paper, we concentrate on and explore "Smart City Data Science", where city data collected from various sources such as sensors, Internet-connected devices, or other external sources, is being mined for insights and hidden correlations to enhance decision-making processes and deliver better and more intelligent services to citizens. To achieve this goal, artificial intelligence, particularly, machine learning analytical modeling can be employed to provide deeper knowledge about city data, which makes the computing process more actionable and intelligent in various real-world city services. Finally, we identify and highlight ten open research issues for future development and research in the context of data-driven smart cities. Overall, we aim to provide an insight into smart city data science conceptualization on a broad scale, which can be used as a reference guide for the researchers, industry professionals, as well as policy-makers of a country, particularly, from the technological point of view. |
| Author Keywords | Cybersecurity; Data science; Data-driven decision making; Intelligent services; Internet of Things; Machine learning; Smart cities |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
49568  | 0.971 | Aishwarya R.I.; Asimithaa K.; Eunice J. | Smart Cities For The Future: A Data Science Approach | Cyber security and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities (2025) |
| 17372 | 0.932 | Singh A.; Kumar M. | Data Urbanity: Smart City Evolution Through Iot And Data Science | 3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings (2023) |
| 40125 | 0.924 | Hurbean L.; Danaiata D.; Militaru F.; Dodea A.-M.; Negovan A.-M. | Open Data Based Machine Learning Applications In Smart Cities: A Systematic Literature Review | Electronics (Switzerland), 10, 23 (2021) |
| 30631 | 0.923 | Grimaldi D.; Carrasco-Farré C. | Implementing Data-Driven Strategies In Smart Cities: A Roadmap For Urban Transformation | Implementing Data-Driven Strategies in Smart Cities: A Roadmap for Urban Transformation (2021) |
| 50087 | 0.921 | Soomro K.; Bhutta M.N.M.; Khan Z.; Tahir M.A. | Smart City Big Data Analytics: An Advanced Review | Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9, 5 (2019) |
| 49711 | 0.918 | Pansare P. | Smart Cities Using Green Computing: A Citizen Data Scientist Perspective | Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective (2024) |
| 56004 | 0.918 | Bibri S.E. | The Leading Data-Driven Smart Cities In Europe: Their Applied Solutions And Best Practices For Sustainable Development | Advances in Science, Technology and Innovation (2020) |
| 17398 | 0.914 | Radziszewska A. | Data-Driven Approach In Knowledge-Based Smart City Management | Proceedings of the European Conference on Knowledge Management, ECKM, 2 (2023) |
| 17263 | 0.913 | Kousis A.; Tjortjis C. | Data Mining Algorithms For Smart Cities: A Bibliometric Analysis | Algorithms, 14, 8 (2021) |
| 25509 | 0.91 | Radhakrishnan S.; Varshan P.S.; Lakshitha S.K.; Suganya R. | Exploring Data Science For Sustainable Urban Planning | Cyber security and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities (2025) |