Facing Disasters—Trends in Applications to Support Disaster Management

Simões-Marques, Mário

doi:10.1007/978-3-319-41956-5_19

Cited by 6 publications

(1 citation statement)

References 11 publications

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“…In such settings, authorities and volunteers need to cooperate in a trustworthy way. Moreover, the dynamic nature of disaster events distinguishes urban emergency management from other domains due to the need to form, adapt, and resize quickly [69].…”

Section: Discussionmentioning

confidence: 99%

Crowdsourcing as a Tool for Urban Emergency Management: Lessons from the Literature and Typology

Chaves

Schneider²,

Correia

et al. 2019

Sensors

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Recently, citizen involvement has been increasingly used in urban disaster prevention and management, taking advantage of new ubiquitous and collaborative technologies. This scenario has created a unique opportunity to leverage the work of crowds of volunteers. As a result, crowdsourcing approaches for disaster prevention and management have been proposed and evaluated. However, the articulation of citizens, tasks, and outcomes as a continuous flow of knowledge generation reveals a complex ecosystem that requires coordination efforts to manage interdependencies in crowd work. To tackle this challenging problem, this paper extends to the context of urban emergency management the results of a previous study that investigates how crowd work is managed in crowdsourcing platforms applied to urban planning. The goal is to understand how crowdsourcing techniques and quality control dimensions used in urban planning could be used to support urban emergency management, especially in the context of mining-related dam outages. Through a systematic literature review, our study makes a comparison between crowdsourcing tools designed for urban planning and urban emergency management and proposes a five-dimension typology of quality in crowdsourcing, which can be leveraged for optimizing urban planning and emergency management processes.

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Section: Discussionmentioning

confidence: 99%