
It is increasingly acknowledged that urban and landscape planning processes need to incorporate stakeholder input and feedback. To this end, decision-makers have been implementing a range of decision support systems (DSSs), such as using geographic information systems (GIS) or 3D renderings of designs to help better explain the advantages and disadvantages of proposed designs. In addition, urban and landscape planning DSSs have also incorporated gamification (the use of game features and mechanics in non-game environments) to provide interactivity whilst providing an engaging experience. In these contexts, using 3D renderings of real-world environments can be a powerful tool for aiding in the democratisation of planning decisions. However, the creation of large-scale 3D models representing real cities or landscapes is limited by time intensive manual methods. This is compounded by the fact that under our current rapidly changing environment, landscapes and urban areas are likely to alter in appearance within short periods of time. It is therefore imperative that 3D renderings of realworld environments can adapt to these changes. Here, we propose methods of using GIS datasets to automatically generate in-game worlds reflective of the real-world and how these 3D models can be used to engage citizens in planning decisions.
Autor / Author: | Fox, Nathan; Serrano-Vergel, Ramiro; Van Berkel, Derek; Lindquist, Mark |
Institution / Institution: | University of Michigan, Michigan/USA; University of Michigan, Michigan/USA; University of Michigan, Michigan/USA; University of Michigan, Michigan/USA |
Seitenzahl / Pages: | 9 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 7-2022 |
Tagung / Conference: | Digital Landscape Architecture 2022 – Hybrid Landscapes |
Veranstaltungsort, -datum / Venue, Date: | Harvard University, Cambridge Mass, USA 09-06-22 - 10-06-22 |
Schlüsselwörter (de): | |
Keywords (en): | Gamification, 3D visualization; LiDAR, GIS |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537724035 |
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