Peter Fr�hlich
Developing knowledge-based citizen participation platform to support smart city decision making: The smarticipate case study
Fr�hlich, Peter; Khan, Zaheer; Dambruch, Jens; Peters-Anders, Jan; Sackl, Andreas; Strasser, Anton; Frohlich, Peter; Templer, Simon; Soomro, Kamran
Authors
Zaheer Khan Zaheer2.Khan@uwe.ac.uk
Professor in Computer Science
Jens Dambruch
Jan Peters-Anders
Andreas Sackl
Anton Strasser
Peter Frohlich
Simon Templer
Dr Kamran Soomro Kamran.Soomro@uwe.ac.uk
Associate Professor of Artificial Intelligence
Abstract
© 2017 by the authors. Citizen participation for social innovation and co-creating urban regeneration proposals can be greatly facilitated by innovative IT systems. Such systems can use Open Government Data, visualise urban proposals in 3D models and provide automated feedback on the feasibility of the proposals. Using such a system as a communication platform between citizens and city administrations provides an integrated top-down and bottom-up urban planning and decision-making approach to smart cities. However, generating automated feedback on citizens' proposals requires modelling domain-specific knowledge i.e., vocabulary and rules, which can be applied on spatial and temporal 3D models. This paper presents the European Commission funded H2020 smarticipate project that aims to achieve the above challenge by applying it on three smart cities: Hamburg, Rome and RBKC-London. Whilst the proposed system architecture indicates various innovative features, a proof of concept of the automated feedback feature for the Hamburg use case 'planting trees' is demonstrated. Early results and lessons learned show that it is feasible to provide automated feedback on citizen-initiated proposals on specific topics. However, it is not straightforward to generalise this feature to cover more complex concepts and conditions which require specifying comprehensive domain languages, rules and appropriate tools to process them. This paper also highlights the strengths of the smarticipate platform, discusses challenges to realise its different features and suggests potential solutions.
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 15, 2017 |
Publication Date | Apr 21, 2017 |
Deposit Date | Apr 20, 2017 |
Publicly Available Date | Apr 20, 2017 |
Journal | Information (Switzerland) |
Electronic ISSN | 2078-2489 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 8 |
Issue | 2 |
Pages | 47 |
DOI | https://doi.org/10.3390/info8020047 |
Keywords | smart cities, citizen participation, knowledge generation, automated feedback, planning proposals, domain vocabulary and rule languages |
Public URL | https://uwe-repository.worktribe.com/output/898003 |
Publisher URL | http://www.mdpi.com/2078-2489/8/2/47 |
Contract Date | Apr 20, 2017 |
Files
information-184404.pdf
(2.4 Mb)
PDF
information-184404.docx
(4.1 Mb)
Document
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 © 2025
Advanced Search