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Accepted VersionCC BY-NC-ND V4.0, Open Access
Journal article
Can volunteer crowdsourcing reduce disaster risk? A systematic review of the literature
International Journal of Disaster Risk Reduction, Vol.35, pp.1-12
2019
Abstract
Disasters are natural catastrophic events that cause damage to property and loss of lives. Highly-reliable in-situ location information is critical for rescue efforts during and after disasters, but often such information is not easy or even possible to obtain. The recent technological advancements along with the volunteerism opportunities create the possibility for obtaining the most needed information through citizens via online applications. The paper investigates the role of volunteer crowdsourcing, including its key attributes and relevant technologies, in disaster risk reduction. This study adopts the systematic literature review technique as the methodological approach. The results reveal three major application areas, where the data collection is undertaken through volunteer crowdsourcing—i.e., marketing, communication, disasters. The findings point out to a trend of increasing focus on volunteer crowdsourcing in the disaster risk reduction literature between 2006 and 2018. The study suggests that the adoption of volunteer crowdsourcing systems into practice would assist policymakers and disaster risk managers to make informed decisions before, during and after disasters—hence, could help in reducing risks.
•Underlines the limitations of extant disaster risk reduction (DRR) strategies.•Pinpoints the emerging technologies that encourage citizen participation in DRR.•Scrutinises the attributes of volunteer crowdsourcing that could support DRR.•Determines the benefits of volunteer crowdsourcing as a citizen science tool for DRR.•Advocates the adoption of volunteer crowdsourcing in emergency planning and DRR.
Details
- Title
- Can volunteer crowdsourcing reduce disaster risk? A systematic review of the literature
- Authors
- Nayomi Kankanamge - Queensland University of TechnologyTan Yigitcanlar (Corresponding Author) - Queensland University of TechnologyAshantha Goonetilleke - Queensland University of TechnologyMd Kamruzzaman - Monash University
- Publication details
- International Journal of Disaster Risk Reduction, Vol.35, pp.1-12
- Publisher
- Elsevier BV
- Date published
- 2019
- DOI
- 10.1016/j.ijdrr.2019.101097
- ISSN
- 2212-4209
- Organisation Unit
- School of Law and Society
- Language
- English
- Record Identifier
- 991068410402621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Geosciences, Multidisciplinary
- Meteorology & Atmospheric Sciences
- Water Resources
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Source: InCites