A framework for the design and evaluation of effective participatory urban data platforms – twelve key components
Oliver Lock, Simone Leao, Tomasz Bednarz, Christopher Pettit
Abstract
With growing concerns in digital governance, there is an increasing demand for software and tools that maximise human-centred design elements and include participatory features. It has been found that the current trajectory of development of urban data platforms, dashboards and other visualisations can be better placed to take advantage of potential participatory outcomes that could be available in their use.
As part of an ongoing review of such participatory urban data platforms, the fol-lowing definition was used to perform a wide literature search of state-of-the-art technologies used in the participatory planning approach: “Digital, physical or mixed-reality interfaces that allow user interactions to actively or passively con-tribute to the monitoring of urban environments and systems”
In undertaking this review, common and differing elements were identified be-tween a wide variety of urban data platforms. As part of this research review, a framework to guide further work in evaluation, design and comparison of participatory urban data platforms is proposed. The framework combines literature from diverse fields such as usability testing, human factors, deliberative democracy, game design, interactive technology, urban planning and education.
This framework aims to create a common language for the technology develop-ers, planning practitioners, policy workers and social scientists. It forms a synergy between 1) informative, 2) applicable, 3) participatory and 4) engaging aspects– each to be understood as interrelated. Each of the aspects is linked with three criteria that can be used to both assess and guide developments and comparisons of such tools. As a concept, this covers not only the features of the tool, but may also apply to the context it may specifically be used.
Ongoing work will continue by using and evaluating platforms with this frame-work in realistic urban participation and decision-making scenarios. Future research directions should consider this framework holistically in the development of Smart City technologies.
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O. Lock (Corresponding author) • S. Leao • C. Pettit
City Analytics Lab, Faculty of Built Environment, UNSW, Kensington NSW 2052
Email: o.lock@unsw.edu.au • s.zarpelonleao@unsw.edu.au • c.pettit@unsw.edu.au
T.Bednarz • O.Lock (Corresponding author)
EPICentre, Faculty of Art & Design, UNSW, Paddington NSW 2021
Email: t.bednarz@unsw.edu.au • o.lock@unsw.edu.au