Print Email Facebook Twitter Utilizing the Potential of the Affected Population and Prevalent Mobile Technology during Disaster Response: Propositions for a Literature Survey Title Utilizing the Potential of the Affected Population and Prevalent Mobile Technology during Disaster Response: Propositions for a Literature Survey Author Gunawan, L.T. Fitrianie, S. Brinkman, W.P. Neerincx, M.A. Faculty Electrical Engineering, Mathematics and Computer Science Department Intelligent Systems Date 2012-04-22 Abstract Despite the growing awareness of the untapped potential of the affected population in a disaster situation, their inclusion in a disaster management is extremely limited. This study aims to survey the literature to see whether utilizing the affected people and prevalent mobile technology can be used during disaster response. The idea is to provide the affected with a way to lead themselves to safety and empower them to serve as distributed active sources of information. This way, those people will reach safety by themselves, while at the same time helping to construct a clear image of the disaster situation without burdening the already overwhelmed emergency services. This study examines knowledge derived from disaster sociology, draws on experience from recent disasters, and extrapolates current technological solutions. By establishing that such a solution is feasible, it offers a basis for empirical studies on a mobile technology that can be used during disaster response. Subject literature surveythe role of communitypost-impact of disaster responsecrowdsourcing To reference this document use: http://resolver.tudelft.nl/uuid:b33da9ae-d949-4773-b9b2-3d5d2a09f6c2 Publisher ISCRAM Source ISCRAM 2012: Proceedings of the 9th International Conference on Information Systems for Crisis Response and Management, Vancouver, Canada, 22-25 April 2012 Part of collection Institutional Repository Document type conference paper Rights (c) 2012 The Author(s)CC Creative Commons Files PDF Gunawan_2012.pdf 184.77 KB Close viewer /islandora/object/uuid:b33da9ae-d949-4773-b9b2-3d5d2a09f6c2/datastream/OBJ/view