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

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...
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Autor*in:	Lei Niu [verfasserIn] Zhiyong Wang [verfasserIn] Yiquan Song [verfasserIn] Yi Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	3D indoor evacuation network spatial influence robustness isolation

Übergeordnetes Werk:	In: ISPRS International Journal of Geo-Information - MDPI AG, 2012, 10(2021), 5, p 331
Übergeordnetes Werk:	volume:10 ; year:2021 ; number:5, p 331

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/ijgi10050331

Katalog-ID:	DOAJ014858975

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allfieldsSound	10.3390/ijgi10050331 doi (DE-627)DOAJ014858975 (DE-599)DOAJ582fbb87cbb54fd9b4120f3756786be8 DE-627 ger DE-627 rakwb eng G1-922 Lei Niu verfasserin aut An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. 3D indoor evacuation network spatial influence robustness isolation Geography (General) Zhiyong Wang verfasserin aut Yiquan Song verfasserin aut Yi Li verfasserin aut In ISPRS International Journal of Geo-Information MDPI AG, 2012 10(2021), 5, p 331 (DE-627)689130961 (DE-600)2655790-3 22209964 nnns volume:10 year:2021 number:5, p 331 https://doi.org/10.3390/ijgi10050331 kostenfrei https://doaj.org/article/582fbb87cbb54fd9b4120f3756786be8 kostenfrei https://www.mdpi.com/2220-9964/10/5/331 kostenfrei https://doaj.org/toc/2220-9964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 10 2021 5, p 331
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callnumber-first	G - Geography, Anthropology, Recreation
author	Lei Niu
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topic_title	G1-922 An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks 3D indoor evacuation network spatial influence robustness isolation
topic	misc G1-922 misc 3D misc indoor evacuation network misc spatial influence misc robustness misc isolation misc Geography (General)
topic_unstemmed	misc G1-922 misc 3D misc indoor evacuation network misc spatial influence misc robustness misc isolation misc Geography (General)
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title	An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks
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title_full	An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks
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title_auth	An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks
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