Technologies to support community flood disaster risk reduction

Ian McCallum; Wei Liu; Linda See; Reinhard Mechler; Adriana Keating; Stefan Hochrainer-Stigler; Junko Mochizuki; Steffen Fritz; Sumit Dugar; Miguel Arestegui; Michael Szoenyi; Juan Carlos Laso Bayas; Peter Burek; Adam French; Inian Moorthy

doi:10.1007/s13753-016-0086-5

Technologies to support community flood disaster risk reduction

Ian McCallum, Wei Liu, Linda See, Reinhard Mechler, Adriana Keating, Stefan Hochrainer-Stigler, Junko Mochizuki, Steffen Fritz, Sumit Dugar, Miguel Arestegui, Michael Szoenyi, Juan Carlos Laso Bayas, Peter Burek, Adam French, Inian Moorthy

Research output: Contribution to journal › Article › Research › peer-review

88 Citations (Scopus)

Abstract

Floods affect more people globally than any other type of natural hazard. Great potential exists for new technologies to support flood disaster risk reduction. In addition to existing expert-based data collection and analysis, direct input from communities and citizens across the globe may also be used to monitor, validate, and reduce flood risk. New technologies have already been proven to effectively aid in humanitarian response and recovery. However, while ex-ante technologies are increasingly utilized to collect information on exposure, efforts directed towards assessing and monitoring hazards and vulnerability remain limited. Hazard model validation and social vulnerability assessment deserve particular attention. New technologies offer great potential for engaging people and facilitating the coproduction of knowledge.

Original language	English
Pages (from-to)	198-204
Number of pages	7
Journal	International Journal of Disaster Risk Science
Volume	7
Issue number	2
DOIs	https://doi.org/10.1007/s13753-016-0086-5
Publication status	Published - 2016
Externally published	Yes

Keywords

Crowdsourcing
Disaster risk reduction
Flood resilience
Social media
Volunteered geographic information (VGI)

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10.1007/s13753-016-0086-5Licence: CC BY

381380080-oaFinal published version, 5.2 MBLicence: CC BY

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McCallum, I., Liu, W., See, L., Mechler, R., Keating, A., Hochrainer-Stigler, S., Mochizuki, J., Fritz, S., Dugar, S., Arestegui, M., Szoenyi, M., Bayas, J. C. L., Burek, P., French, A., & Moorthy, I. (2016). Technologies to support community flood disaster risk reduction. International Journal of Disaster Risk Science, 7(2), 198-204. https://doi.org/10.1007/s13753-016-0086-5

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title = "Technologies to support community flood disaster risk reduction",

abstract = "Floods affect more people globally than any other type of natural hazard. Great potential exists for new technologies to support flood disaster risk reduction. In addition to existing expert-based data collection and analysis, direct input from communities and citizens across the globe may also be used to monitor, validate, and reduce flood risk. New technologies have already been proven to effectively aid in humanitarian response and recovery. However, while ex-ante technologies are increasingly utilized to collect information on exposure, efforts directed towards assessing and monitoring hazards and vulnerability remain limited. Hazard model validation and social vulnerability assessment deserve particular attention. New technologies offer great potential for engaging people and facilitating the coproduction of knowledge.",

keywords = "Crowdsourcing, Disaster risk reduction, Flood resilience, Social media, Volunteered geographic information (VGI)",

author = "Ian McCallum and Wei Liu and Linda See and Reinhard Mechler and Adriana Keating and Stefan Hochrainer-Stigler and Junko Mochizuki and Steffen Fritz and Sumit Dugar and Miguel Arestegui and Michael Szoenyi and Bayas, \{Juan Carlos Laso\} and Peter Burek and Adam French and Inian Moorthy",

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year = "2016",

doi = "10.1007/s13753-016-0086-5",

language = "English",

volume = "7",

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McCallum, I, Liu, W, See, L, Mechler, R, Keating, A, Hochrainer-Stigler, S, Mochizuki, J, Fritz, S, Dugar, S, Arestegui, M, Szoenyi, M, Bayas, JCL, Burek, P, French, A & Moorthy, I 2016, 'Technologies to support community flood disaster risk reduction', International Journal of Disaster Risk Science, vol. 7, no. 2, pp. 198-204. https://doi.org/10.1007/s13753-016-0086-5

TY - JOUR

T1 - Technologies to support community flood disaster risk reduction

AU - McCallum, Ian

AU - Liu, Wei

AU - See, Linda

AU - Mechler, Reinhard

AU - Keating, Adriana

AU - Hochrainer-Stigler, Stefan

AU - Mochizuki, Junko

AU - Fritz, Steffen

AU - Dugar, Sumit

AU - Arestegui, Miguel

AU - Szoenyi, Michael

AU - Bayas, Juan Carlos Laso

AU - Burek, Peter

AU - French, Adam

AU - Moorthy, Inian

PY - 2016

Y1 - 2016

N2 - Floods affect more people globally than any other type of natural hazard. Great potential exists for new technologies to support flood disaster risk reduction. In addition to existing expert-based data collection and analysis, direct input from communities and citizens across the globe may also be used to monitor, validate, and reduce flood risk. New technologies have already been proven to effectively aid in humanitarian response and recovery. However, while ex-ante technologies are increasingly utilized to collect information on exposure, efforts directed towards assessing and monitoring hazards and vulnerability remain limited. Hazard model validation and social vulnerability assessment deserve particular attention. New technologies offer great potential for engaging people and facilitating the coproduction of knowledge.

AB - Floods affect more people globally than any other type of natural hazard. Great potential exists for new technologies to support flood disaster risk reduction. In addition to existing expert-based data collection and analysis, direct input from communities and citizens across the globe may also be used to monitor, validate, and reduce flood risk. New technologies have already been proven to effectively aid in humanitarian response and recovery. However, while ex-ante technologies are increasingly utilized to collect information on exposure, efforts directed towards assessing and monitoring hazards and vulnerability remain limited. Hazard model validation and social vulnerability assessment deserve particular attention. New technologies offer great potential for engaging people and facilitating the coproduction of knowledge.

KW - Crowdsourcing

KW - Disaster risk reduction

KW - Flood resilience

KW - Social media

KW - Volunteered geographic information (VGI)

UR - https://www.scopus.com/pages/publications/84977147555

U2 - 10.1007/s13753-016-0086-5

DO - 10.1007/s13753-016-0086-5

M3 - Article

AN - SCOPUS:84977147555

SN - 2095-0055

VL - 7

SP - 198

EP - 204

JO - International Journal of Disaster Risk Science

JF - International Journal of Disaster Risk Science

IS - 2

ER -

Technologies to support community flood disaster risk reduction

Abstract

Keywords

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