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Article

An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks

by 1,*, 2, 3 and 4
1
Faculty of Geometics, Lanzhou Jiaotong University, Lanzhou 730070, China
2
Human Geography and Spatial Planning, Ultrecht University, 3584 CB Utrecht, The Netherlands
3
School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
4
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
*
Author to whom correspondence should be addressed.
Academic Editors: Eliseo Clementini and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(5), 331; https://doi.org/10.3390/ijgi10050331
Received: 8 March 2021 / Revised: 31 March 2021 / Accepted: 4 April 2021 / Published: 13 May 2021
Indoor evacuation efficiency heavily relies on the connectivity status of navigation networks. During disastrous situations, the spreading of hazards (e.g., fires, plumes) significantly influences indoor navigation networks’ status. Nevertheless, current research concentrates on utilizing classical statistical methods to analyze this status and lacks the flexibility to evaluate the increasingly disastrous scope’s influence. We propose an evaluation method combining 3D spatial geometric distance and topology for emergency evacuations to address this issue. Within this method, we offer a set of indices to describe the nodes’ status and the entire network under emergencies. These indices can help emergency responders quickly identify vulnerable nodes and areas in the network, facilitating the generation of evacuation plans and improving evacuation efficiency. We apply this method to analyze the fire evacuation efficiency and resilience of two experiment buildings’ indoor networks. Experimental results show a strong influence on the network’s spatial connectivity on the evacuation efficiency under disaster situations. View Full-Text
Keywords: 3D; indoor evacuation network; spatial influence; robustness; isolation 3D; indoor evacuation network; spatial influence; robustness; isolation
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MDPI and ACS Style

Niu, L.; Wang, Z.; Song, Y.; Li, Y. An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks. ISPRS Int. J. Geo-Inf. 2021, 10, 331. https://doi.org/10.3390/ijgi10050331

AMA Style

Niu L, Wang Z, Song Y, Li Y. An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks. ISPRS International Journal of Geo-Information. 2021; 10(5):331. https://doi.org/10.3390/ijgi10050331

Chicago/Turabian Style

Niu, Lei, Zhiyong Wang, Yiquan Song, and Yi Li. 2021. "An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks" ISPRS International Journal of Geo-Information 10, no. 5: 331. https://doi.org/10.3390/ijgi10050331

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