Development of a Targeted Recommendation Model for Earthquake Risk Prevention in the Whole Disaster Chain
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초록
Strong earthquakes have caused substantial losses in recent years, and earthquake risk prevention has arouseda significant amount of attention. Earthquake risk prevention products can help improve the self and mutualrescueabilities of people, and can create convenient conditions for earthquake relief and reconstruction work. At present, it is difficult for earthquake risk prevention information systems to meet the informationrequirements of multiple scenarios, as they are highly specialized. Aiming at mitigating this shortcoming, thisstudy investigates and analyzes four user roles (government users, public users, social force users, insurancemarket users), and summarizes their requirements for earthquake risk prevention products in the whole disasterchain, which comprises three scenarios (pre-quake preparedness, in-quake warning, and post-quake relief). Atargeted recommendation rule base is then constructed based on the case analysis method. Considering theuser’s location, the earthquake magnitude, and the time that has passed since the earthquake occurred, a targetedrecommendation model is built. Finally, an Android APP is implemented to realize the developed model. TheAPP can recommend multi-form earthquake risk prevention products to users according to their requirementsunder the three scenarios. Taking the 2019 Lushan earthquake as an example, the APP exhibits that the modelcan transfer real-time information to everyone to reduce the damage caused by an earthquake.
Abstract
Strong earthquakes have caused substantial losses in recent years, and earthquake risk prevention has arouseda significant amount of attention. Earthquake risk prevention products can help improve the self and mutualrescueabilities of people, and can create convenient conditions for earthquake relief and reconstruction work. At present, it is difficult for earthquake risk prevention information systems to meet the informationrequirements of multiple scenarios, as they are highly specialized. Aiming at mitigating this shortcoming, thisstudy investigates and analyzes four user roles (government users, public users, social force users, insurancemarket users), and summarizes their requirements for earthquake risk prevention products in the whole disasterchain, which comprises three scenarios (pre-quake preparedness, in-quake warning, and post-quake relief). Atargeted recommendation rule base is then constructed based on the case analysis method. Considering theuser’s location, the earthquake magnitude, and the time that has passed since the earthquake occurred, a targetedrecommendation model is built. Finally, an Android APP is implemented to realize the developed model. TheAPP can recommend multi-form earthquake risk prevention products to users according to their requirementsunder the three scenarios. Taking the 2019 Lushan earthquake as an example, the APP exhibits that the modelcan transfer real-time information to everyone to reduce the damage caused by an earthquake.
참고문헌 (10)
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