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Author |
Nick Hedley |
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Title |
Capturing communities' perceptions of risk through the eyes of their citizens: Using mobile VGI networks to map tsunami risk awareness |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Keywords |
Hazards; Information systems; Mobile devices; Risk assessment; Tsunamis; Vapors; British Columbia; Coastal communities; Deployable systems; Device technologies; Emergency planners; Perceptions of risks; Tsunami hazards; Volunteered geographic information; Risk perception |
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Abstract |
This paper describes research in progress exploring the use of mobile device technology and citizen sensors, as tools for emergency managers and planners to quickly to gather and map citizen perceptions of risk in communities exposed to tsunami hazards. VAPoR is an agile, deployable system developed at the Spatial Interface Research Lab that does this. It is currently being field tested on the West Coast of Vancouver Island, British Columbia. This evaluation assesses these technologies and methods, and their potential to help emergency planners mitigate risk in coastal communities. © 2012 ISCRAM. |
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Address |
Spatial Interface Research Lab, Dept. of Geography, Simon Fraser University, Canada |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
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Track |
Planning and Foresight |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
126 |
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Author |
Yossi Nygate; William Johnson; Mark Indelicato; Miguel Bazdresch; Clark Hochgraf |
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Title |
Intelligent Wireless Infrastructure Management for Emergency Communications |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Pages |
1156-1160 |
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Keywords |
communications, LTE, deployable, QoS, big data analytics |
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Abstract |
This poster describes the research of a collaborative faculty-led research that will enable first responders to identify and visualize geo-located quality of service and coverage gaps in wireless and deployable networks during an emergency event and support the deployment additional LTE base stations within FirstNet to augment network coverage and capacity. Our crowd sourced cellular metrics system uses big data analytics to detect changes in coverage and usage patterns and recommends where to deploy additional communication assets. The approach uses machine learning methods to measure and model coverage gaps and automatically implement bandwidth prioritization on whatever communication assets are available. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
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Track |
Poster |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2195 |
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