A connection-oriented telecommunications disaster management model using mobile GIS

Choi, Young B.; Blackburn, Jonathan M.; Seo, Hyewon

doi:10.1504/ijmc.2006.008198

Cited by 7 publications

(1 citation statement)

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“…Since many different groups with overlapping responsibilities are charged with responding to the emergency/ disaster, a multi agency model (Lee et al, 2011) is required to control the flows of information. There is much interest in telecommunications use during disasters, and work has been done on testing the validity of models using telecommunications and GIS data (Choi et al, 2006, Jin et al, 2011. One case study in particular developed an android application for use on smartphones in emergency situations (Therese et al, 2010), providing some testing and validation of a mobile smartphone based disaster reporting system.…”

Section: Related Workmentioning

confidence: 99%

Peer

Lorenzi

Chun

Vaidya

et al. 2015

International Journal of E-Planning Research

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While government agencies, NGOs, and even commercial entities immediately swing into action to help out, in the case of large disasters, one of the biggest resources – citizens themselves – are underutilized. The rise of social media creates an opportunity for the citizen participation for disaster response management. By harnessing the power of citizen crowdsourcing, the government can have enhanced disaster situation awareness and utilize resources provided by citizen volunteers, resulting in more effective disaster responses. In this paper, the prototype Public Engagement in Emergency Response (PEER) framework is presented. It provides a comprehensive online and mobile crowdsourcing platform for situation reporting and resource volunteering. Events are described that transpired in the aftermath of superstorm Sandy, which demonstrate the benefits of using the PEER framework in a major disaster situation. Also described is how it can alleviate some of the issues associated with the crowdsourcing responses such as fraud.

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Section: Related Workmentioning

confidence: 99%