Comprehensive analysis of information dissemination in disasters

N Zhang, H Huang, B Su - Physica A: Statistical Mechanics and its …, 2016 - Elsevier
N Zhang, H Huang, B Su
Physica A: Statistical Mechanics and its Applications, 2016Elsevier
China is a country that experiences a large number of disasters. The number of deaths
caused by large-scale disasters and accidents in past 10 years is around 900,000. More
than 92.8 percent of these deaths could be avoided if there were an effective pre-warning
system deployed. Knowledge of the information dissemination characteristics of different
information media taking into consideration governmental assistance (information published
by a government) in disasters in urban areas, plays a critical role in increasing response …
Abstract
China is a country that experiences a large number of disasters. The number of deaths caused by large-scale disasters and accidents in past 10 years is around 900,000. More than 92.8 percent of these deaths could be avoided if there were an effective pre-warning system deployed. Knowledge of the information dissemination characteristics of different information media taking into consideration governmental assistance (information published by a government) in disasters in urban areas, plays a critical role in increasing response time and reducing the number of deaths and economic losses. In this paper we have developed a comprehensive information dissemination model to optimize efficiency of pre-warning mechanics. This model also can be used for disseminating information for evacuees making real-time evacuation plans. We analyzed every single information dissemination models for pre-warning in disasters by considering 14 media: short message service (SMS), phone, television, radio, news portals, Wechat, microblogs, email, newspapers, loudspeaker vehicles, loudspeakers, oral communication, and passive information acquisition via visual and auditory senses. Since governmental assistance is very useful in a disaster, we calculated the sensitivity of governmental assistance ratio. The results provide useful references for information dissemination during disasters in urban areas.
Elsevier
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