Measuring affect, behavior and cognition for modeling disaster risk attitudes

Abstract

We modelled disaster risk attitudes using top down and bottom up approaches. Top down, we constructed an attitudinal model to comprise of affect, behavior and cognition. Bottom-up, we mined ABC semantics from narratives of disaster experiences and gathered ABC data in an online survey. This paper reports two studies: Study 1 identified ABC semantics through text mining; Study 2 developed a disaster attitudinal dashboard on flood and fire, and conducted a survey among 32 young adults from Malaysia and Singapore. MANOVA was used to analyze the results. The behavior of Malaysians towards flood differed significantly from Singaporeans, while the affect of females differed significantly from males in fire disaster situations.