Kummitha, Rama Krishna Reddy (2025) Smart city governance: assessing modes of active citizen engagement. Regional Studies, 59 (1). pp. 1-15. DOI https://doi.org/10.1080/00343404.2024.2399262
Kummitha, Rama Krishna Reddy (2025) Smart city governance: assessing modes of active citizen engagement. Regional Studies, 59 (1). pp. 1-15. DOI https://doi.org/10.1080/00343404.2024.2399262
Kummitha, Rama Krishna Reddy (2025) Smart city governance: assessing modes of active citizen engagement. Regional Studies, 59 (1). pp. 1-15. DOI https://doi.org/10.1080/00343404.2024.2399262
Abstract
This paper discusses how to govern smart cities that nurture and promote citizen engagement. By reviewing the emergent literature on the topic and rooting in a pluralistic – a descriptive and normative orientation, we identify three novel governance models: embedded, blended and networked. Our review indicates that the depth of citizen engagement varies between models based on the roles played by closely aligned resourceful actors. A collaborative environment driven by, for and with citizens seeks to build smart cities embedded in local realities. Drawing on examples from smart cities across the globe, we offer policy suggestions for building futuristic citizen-engaged smart cities.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | citizen engagement; co-creation; collaborations; governance; smart cities |
| Divisions: | Faculty of Arts, Humanities and Social Sciences > Essex Business School Faculty of Arts, Humanities and Social Sciences > Essex Business School > EBS Business and Management Faculty of Arts, Humanities and Social Sciences |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 07 Apr 2025 14:12 |
| Last Modified: | 23 Sep 2026 23:15 |
| URI: | http://repository.essex.ac.uk/id/eprint/39365 |
Available files
Filename: Smart city governance assessing modes of active citizen engagement (3).pdf
Licence: Creative Commons: Attribution 4.0