Mode Specific Evacuation Planning in Infrastructure Risk Management
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Détails bibliographiques
| Auteur(s): |
Ben Rutten
(BeTR, The Netherlands)
Stefan Bollars (Innovactory, The Netherlands) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019 | ||||
| Publié dans: | IABSE Symposium Guimarães 2019 | ||||
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| Page(s): | 1050-1057 | ||||
| Nombre total de pages (du PDF): | 8 | ||||
| DOI: | 10.2749/guimaraes.2019.1050 | ||||
| Abstrait: |
The majority of the people is using a smartphone for all kind of communication and information sharing. By monitoring movements of the smartphone combining with big data analytics in the cloud not only the movement of the smartphone (and its owner) can be detected, but also the mode of transport can be derived: walking, biking, car driving, bus or train passenger. Combining this knowledge with the state of the evacuee, the known location and direction of movement of the natural event and the state of infrastructure and traffic, a specific message can be sent to the owner of the smart phone in which direction to evacuate. In the paper we will describe the principal method of mode detection and the way how this could lead to proper and reliable messages to the evacuee, knowing infrastructure and traffic state, the location of the natural event, and the state of the evacuee. |
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