Strategies For Crowdsourcing For
Disaster Situation Information
Author(s)
E. T.-H. Chu, Y.-L. Chen, J. W. S. Liu & J. K. Zao
Abstract
When existing surveillance sensors used by a disaster warning and response
system cannot provide adequate data for situation assessment purposes,
crowdsourcing information collection can be an effective solution: People armed
with wireless devices and social network services can be used as mobile human
sensors. Their eye-witness reports can complement data from in-situ physical
sensors and provide the system with more extensive and detailed sensor
coverage. The crowdsourcing strategy used by the system can be random, relying
solely on mobility of individuals for coverage of the threatened area; or crowddriven,
with the system providing situation updates as feedback to aid the crowd;
or system-driven with individuals moving in response to directives from the
system. The relative merits of the strategies clearly depend on the disaster
scenario and the characteristics of the crowd.
This paper presents a general crowd model for characterizing individuals
within a crowd and the crowd as a whole and an abstract mobility model of
crowd movements in the threatened area. The models can be specialized to
characterize different disaster scenarios and crowds, and used in the simulation
of the crowdsourcing strategies for evaluation purposes. Data on relative
performance of different strategies for two types of disasters were thus obtained.
Keywords: crowdsourcing, disaster management, crowd mobility model.
Keywords
crowdsourcing, disaster management, crowd mobility model
Related Book
Other papers in this volume
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