Journal article
Enhanced 3D visualization techniques in support of indoor location planning
Computers, environment and urban systems, v 50, pp 15-29
Mar 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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•Enhanced 3D visualization techniques are proposed for supporting location planning applied to indoor spaces.•We extend traditional 2D visualization techniques to 3D and design novel 3D visualization techniques.•User surveys demonstrate the advantages of 3D visualization solutions in terms of quickness, effectiveness, easiness, and usefulness.
Indoor environments are challenging spaces to handle in location analysis and Geographic Information Science. In this paper, new techniques to visualize solutions of location models used for the optimal indoor placement of emergency devices are proposed in support of location planning decisions. The analysis compares and contrasts extensions of traditional 2D visualization techniques to display diverse aspects of the service coverage of demand nodes by devices in the form of canonical and network-based spider maps, areal and volume coverage. Other innovative approaches are suggested to visualize the spatio-temporal relationship of multiple facilities serving multiple demand nodes across a multi-story building. User surveys suggest that the proposed 3D visualization techniques are preferred to their 2D counterparts in terms of quickness, effectiveness, easiness, and usefulness.
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Details
- Title
- Enhanced 3D visualization techniques in support of indoor location planning
- Creators
- Yuhong Zhou - University of North Carolina at CharlotteThi Hong Diep Dao - University of MontanaJean-Claude Thill - University of North Carolina at CharlotteEric Delmelle - University of North Carolina at Charlotte
- Publication Details
- Computers, environment and urban systems, v 50, pp 15-29
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000349584900002
- Scopus ID
- 2-s2.0-84910644776
- Other Identifier
- 991021874553504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Environmental
- Environmental Studies
- Geography
- Operations Research & Management Science
- Regional & Urban Planning