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 real-world 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.
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A Collaborative Augmented Reality Decision Support System for Crowdsourcing Urban Designs
Globally, cities and their infrastructures, people, and ecology systems are experiencing unprecedented changes due to environmental change and anthropogenic pressures. To create the most sustainable approaches for mitigating and adapting to environmental changes, urban designs require a radical rethink that accounts for the needs of local citizens and stakeholders. Decision support systems (DSS) can be utilized to engage with members of the public to elicit their opinions on proposed designs. To better engage citizens, DSSs have started to include the use of virtual reality and augmented reality to demonstrate designs, however, these systems are often only applied to smaller stakeholder engagement events. Here, we created a theory-informed augmented reality application for collaborative crowdsourcing of urban designs. The designed system allows users to manipulate a two-dimensional map with targets representing different objects (e. g., trees, lakes, infrastructure). The changes made to the 2D map are then visualized through a mobile application that displays a 3D AR visualization of the changes the user makes in real time. The resulting application can be used to engage a diversity of participants in a range of urban and environmental planning contexts.
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- Award ID(s):
- 2033320
- PAR ID:
- 10482974
- Publisher / Repository:
- Wichmann Verlag
- Date Published:
- Journal Name:
- Journal of digital landscape architecture
- Volume:
- 8
- ISSN:
- 2367-4253
- Page Range / eLocation ID:
- 195-202
- Subject(s) / Keyword(s):
- Augment reality decision support system crowdsourcing
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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