1. Modelling Risk Attitude and Situation Awareness in Tsunami Disaster; Implications for Design of Drone Surveillance and Early Warning System
- Author
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Halimahtun M. Khalid, Mei-Hua Lin, and Kian Meng Yap
- Subjects
021110 strategic, defence & security studies ,Situation awareness ,Warning system ,media_common.quotation_subject ,Applied psychology ,0211 other engineering and technologies ,020206 networking & telecommunications ,02 engineering and technology ,Hazard ,Comprehension ,Rating scale ,Perception ,0202 electrical engineering, electronic engineering, information engineering ,Task analysis ,Early warning system ,Psychology ,media_common - Abstract
This paper presents a RASA model for modelling risk attitudes (RA) during tsunami disaster at three levels of situation awareness (SA): perception, comprehension and projection. The study identified human factors that influence risk attitudes on the basis of gender. The RASA data were gathered in a survey conducted in Malaysia among ninety participants (45 males and 45 females). The survey used a 75-item questionnaire to measure RASA on a 7-point rating scale. Patterns of communication by participants with significant others were also identified in terms of who and how they were contacted. The findings showed that Malaysians view and classify a high-risk hazard situation from a broad perspective following holistic thinking. Using the processed data, surveillance drones could be developed to map to the RASA database system. The purpose is to enable communities receive early warning information and evacuate before the tsunami reaches the coastal areas.
- Published
- 2019