This research investigated determinants of typhoon and earthquakemitigation behaviors in Taiwan based on risk analysis of hazards,exposure, and vulnerability, supplemented by the protective actiondecision model (PADM). Besides psychological condition (i.e., risk perception, life satisfaction, and anxiety), demographics, and socio-economic characteristics factors (i.e., gender, age, ratio of home own-ership, and average monthly income per household) mentioned in thePADM, this research added factors of family structure, social network,and internet and social media usage in the analysis. All of these factorswere for the concept of social vulnerability—one dimension of riskanalysis. Furthermore, this research used the factor of disaster-proneareas (i.e., disaster experiences, flood-prone areas, and number of protected people possibly affected by debris flow) to represent anotherdimension of risk analysis: the intersection of hazard and exposure.The 2020 Taiwan Social Change Survey data and multiple hierarchicalregression analysis were used for analysis. The results showed that (1)the demographic and socio-economic factor had the greatest impact onmitigation behaviors among all the factors when added hierarchicallyin the model. This finding added to the literature on the importance of the demographic and socio-economic factor: as the third factor addedin the model, it had an impact larger than those of the first and secondfactors added in the model, namely disaster-prone areas and psycho-logical condition. (2) Risk perception had a larger impact than disasterexperience on mitigation behaviors—whether the impact of disasterexperience on mitigation behaviors was significant depended on thetype of disaster. This result suggested that to encourage mitigation behaviors, actively raising people’s risk perception might be a betterstrategy than passively focusing on disaster experiences. (3) The factorof psychological condition could be an antecedent variable of mitiga-tion behaviors. Experts or practitioners in the field of disaster man-agement could plan how to integrate mental health services into the promotion of disaster mitigation behaviors. (4) Among all variables,education had the greatest impact on mitigation behaviors, which wasan exciting result. This result might support the viewpoint of sociologyof disasters which believes that education provides capability to absorbknowledge and obtain information of disaster mitigation behaviors. (5)The impact of the factor of family structure on mitigation behaviorswas not significant. Unlike the results of previous studies, cohabiting people, especially school-age children, did not encourage family mit-igation behaviors in Taiwan. Therefore, the practitioners must continueto work hard to meet their own expectation that school-age children bring home the knowledge they have acquired from school, therebyinfluencing their families to take disaster mitigation behaviors. Thefact that families with access and functional needs did not have moremitigation behaviors than their counterparts suggested a disaster vul-nerability in today’s aged society. (6) Social networks, the internet,and social media influenced the flood model but were not significantin the earthquake model. As there is still room for improvement, practitioners could learn to effectively use existing social mechanismsto promote and implement disaster mitigation behaviors in Taiwan,such as school-based and neighborhood-based disaster education andmanagement, as well as social media.