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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

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Authors

Peter Fr�hlich

Zaheer Khan Zaheer2.Khan@uwe.ac.uk
Professor in Computer Science

Jens Dambruch

Jan Peters-Anders

Andreas Sackl

Anton Strasser

Peter Frohlich

Simon Templer

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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.

Citation

Fröhlich, P., Khan, Z., Dambruch, J., Peters-Anders, J., Sackl, A., Strasser, A., …Soomro, K. (2017). Developing knowledge-based citizen participation platform to support smart city decision making: The smarticipate case study. Information, 8(2), 47. https://doi.org/10.3390/info8020047

Journal Article Type Article
Acceptance Date Apr 15, 2017
Publication Date Apr 21, 2017
Deposit Date Apr 20, 2017
Publicly Available Date Mar 28, 2024
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

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