Lynn, Theo
ORCID: 0000-0001-9284-7580 and Wood, Charles
(2023)
Smart Streets as a Cyber-Physical Social Platform: A Conceptual Framework.
Sensors, 23
(3).
ISSN 1424-8220
Abstract
Streets perform a number of important functions and have a wide range of activities performed in them. There is a small but growing focus on streets as a more generalisable, atomised, and therefore more manageable unit of development and analysis than cities. Despite the public realm being one of the largest physical spaces on streets, the impact and potential of digitalisation projects on this realm is rarely considered. In this article, the smartness of a street is derived from the cyber-physical social infrastructure in the public realm, including data obtained from sensors, the interconnection between different services, technologies and social actors, intelligence derived from analysis of the data, and optimisation of operations within a street. This article conceptualises smart streets as basic units of urban space that leverage cyber-physical social infrastructure to provide and enable enhanced services to and between stakeholders, and through stakeholders’ use of the street, generate data to optimise its services, capabilities, and value to stakeholders. A proposed conceptual framework is used to identify and explore how streets can be augmented and create value through cyber-physical social infrastructure and digital enhancements. We conclude with a discussion of future avenues of research.
Metadata
| Item Type: | Article (Published) |
|---|---|
| Refereed: | Yes |
| Uncontrolled Keywords: | Streets; smart streets; sensors; cyber-physical systems; cyber-physical social systems; smart cities; platformisation |
| Subjects: | Computer Science > Artificial intelligence Computer Science > Computational complexity Computer Science > Computer networks |
| DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
| Publisher: | MDPI AG |
| Official URL: | https://www.mdpi.com/1424-8220/23/3/1399 |
| Copyright Information: | Authors |
| ID Code: | 32851 |
| Deposited On: | 02 Jul 2026 10:01 by Tam Nguyen . Last Modified 02 Jul 2026 10:01 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution 4.0 457kB |
Metrics
Altmetric Badge
Dimensions Badge
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record