2012
DOI: 10.1080/13658816.2011.597753
|View full text |Cite
|
Sign up to set email alerts
|

Spatio-temporal location modeling in a 3D indoor environment: the case of AEDs as emergency medical devices

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
17
0

Year Published

2012
2012
2023
2023

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 32 publications
(17 citation statements)
references
References 36 publications
0
17
0
Order By: Relevance
“…3D models containing indoor can be used for route finding and accessibility [345][346][347][348][349][350][351][352], with specific applications such as evacuation [307,[353][354][355][356][357], navigating large train stations [358], determining indoor routes for the disabled [359], and locating the shortest path to the nearest automated external defibrillator [360]. Recent research efforts include the integration of indoor and outdoor routing for indoor emergency response facilitation [306].…”
Section: Routingmentioning
confidence: 99%
“…3D models containing indoor can be used for route finding and accessibility [345][346][347][348][349][350][351][352], with specific applications such as evacuation [307,[353][354][355][356][357], navigating large train stations [358], determining indoor routes for the disabled [359], and locating the shortest path to the nearest automated external defibrillator [360]. Recent research efforts include the integration of indoor and outdoor routing for indoor emergency response facilitation [306].…”
Section: Routingmentioning
confidence: 99%
“…Personal movement within indoor spaces with or without explicit consideration for indoor way-finding or navigation has been the primary purpose of some other data models (e.g., Li, Claramunt, & Ray, 2010;Mandloi & Thill, 2010;Thill et al, 2011;Vanclooster et al, 2012), while cadastral considerations have led to yet another strand of literature (e.g., Billen & Zlatanova, 2003 There is a very limited body of literature on optimal location modeling for 3D indoor environments in spite of cities being increasingly removed from two-dimensional (2D) graph representations due to their vertical expansion. Notable exceptions include Arriola, Laporte, and Ortega (2005) and Dao, Zhou, Thill, and Delmelle (2012) in facility location planning and Plets et al (2012) and Wölfle, Wahl, Wertz, Wildbolz, and Landstorfer (2005) in wireless network planning. In all these bodies of literature, there is scant consideration for visualization and cartographic representation.…”
Section: Introductionmentioning
confidence: 97%
“…In all these bodies of literature, there is scant consideration for visualization and cartographic representation. The present study is motivated by recent work (Dao et al, 2012) that proposed a space-time facility location model for the interior space of multi-story buildings. In their study, the authors underscore the scarcity of concepts and tools for the effective and comprehensive communication of locational information in 3D networked spaces.…”
Section: Introductionmentioning
confidence: 98%
See 1 more Smart Citation
“…a heart attack), the time to locate him becomes crucial. Furthermore, determining the position of the closest defibrillator, which could also be indicated in the map, can increase the probabilities of saving the person [13].…”
Section: Feetslam Online and Offline Applicationsmentioning
confidence: 99%