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
