From top-down land use planning intelligence to bottom-up stakeholder engagement for smart cities – A case study: DECUMANUS service products

Ludlow, David; Khan, Zaheer; Soomro, Kamran; Marconcini, Mattia; Jos�, Roberto San; Malcorps, Philippe; Lemper, Maria; Perez, Juan Luis; Metz, Annekatrin

Abstract

Copyright © 2017 Inderscience Enterprises Ltd. Intelligence delivered by earth observation (EO) satellites performs a vital role in supporting ICT enabled urban governance, and the creation of decision making tools delivering integrated urban planning. This paper reviews the DECUMANUS project experience, detailing the development of the EO derived tools, and evaluating the service products that facilitate the deployment of top-down expertise in land use planning. The central purpose of the paper is to assess the potential for use of these DECUMANUS high resolution EO images and data, also to support bottom-up participatory planning, promoting co-design. It is concluded: 1) EO derived images and associated data offer great opportunity to deliver top-down decision making tools, which combined with auxiliary data, including participatory sensing data, effectively support integrated urban planning; 2) EO derived images also offer substantial potential as communication tools, enabling citizens to make more informed and responsible choices and participate in co-designed urban planning.

• Journal Article Type: Article
• Acceptance Date: Oct 31, 2016
• Online Publication Date: Dec 21, 2017
• Publication Date: Dec 21, 2017
• Deposit Date: Nov 2, 2016
• Publicly Available Date: Jun 21, 2018
• Journal: International Journal of Services, Technology and Management
• Print ISSN: 1460-6720
• Electronic ISSN: 1741-525X
• Publisher: Inderscience
• Peer Reviewed: Peer Reviewed
• Volume: 23
• Issue: 5-6
• Pages: 465-493
• DOI: https://doi.org/10.1504/IJSTM.2017.10009861
• Keywords: remote sensing, top-down policy making, bottom-up decision making, citizen participation, co-creation and innovation
• Public URL: https://uwe-repository.worktribe.com/output/902626
• Publisher URL: http://dx.doi.org/10.1504/IJSTM.2017.10009861
• Contract Date: Nov 3, 2016