Zaheer Khan Zaheer2.Khan@uwe.ac.uk
Professor in Computer Science
A framework for cloud-based context-aware information services for citizens in smart cities
Khan, Zaheer; Kiani, Saad Liaquat; Soomro, Kamran
Authors
Saad Liaquat Kiani
Dr Kamran Soomro Kamran.Soomro@uwe.ac.uk
Associate Professor of Artificial Intelligence
Abstract
© 2014 Khan et al.; licensee Springer. Background: In the context of smart cities, public participation and citizen science are key ingredients for informed and intelligent planning decisions and policy-making. However, citizens face a practical challenge in formulating coherent information sets from the large volumes of data available to them. These large data volumes materialise due to the increased utilisation of information and communication technologies in urban settings and local authorities’ reliance on such technologies to govern urban settlements efficiently. To encourage effective public participation in urban governance of smart cities, the public needs to be facilitated with the right contextual information about the characteristics and processes of their urban surroundings in order to contribute to the aspects of urban governance that affect them such as socio-economic activities, quality of life, citizens well-being etc. The cities on the other hand face challenges in terms of crowd sourcing with quality data collection and standardisation, services inter-operability, provisioning of computational and data storage infrastructure. Focus: In this paper, we highlight the issues that give rise to these multi-faceted challenges for citizens and public administrations of smart cities, identify the artefacts and stakeholders involved at both ends of the spectrum (data/service producers and consumers) and propose a conceptual framework to address these challenges. Based upon this conceptual framework, we present a Cloud-based architecture for context-aware citizen services for smart cities and discuss the components of the architecture through a common smart city scenario. A proof of concept implementation of the proposed architecture is also presented and evaluated. The results show the effectiveness of the cloud-based infrastructure for the development of a contextual service for citizens.
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 1, 2014 |
Online Publication Date | Oct 11, 2014 |
Publication Date | Oct 11, 2014 |
Deposit Date | Sep 10, 2014 |
Publicly Available Date | Mar 4, 2016 |
Journal | Journal of Cloud Computing |
Electronic ISSN | 2192-113X |
Publisher | SpringerOpen |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Article Number | 14 |
DOI | https://doi.org/10.1186/s13677-014-0014-4 |
Keywords | smart cities, citizen services, context-awareness, cloud computing, public awareness, decision-making |
Public URL | https://uwe-repository.worktribe.com/output/810574 |
Publisher URL | http://dx.doi.org/10.1186/s13677-014-0014-4 |
Related Public URLs | http://www.journalofcloudcomputing.com/ |
Contract Date | Mar 4, 2016 |
Files
art%3A10.1186%2Fs13677-014-0014-4.pdf
(1.2 Mb)
PDF
You might also like
Towards cloud based smart cities data security and privacy management
(2014)
Presentation / Conference Contribution
Using space-based downstream services for urban management in smart cities
(2014)
Presentation / Conference Contribution
Towards cloud based big data analytics for smart future cities
(2015)
Journal Article
Big data in Smart Cities
(-0001)
Book Chapter
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search