#SIMMONS TIMETOOL SOFTWARE#

This study has several other important applications. The proposed analysis was an initial attempt toward studying the emotional and behavioral differences between users living in different cities of Saudi Arabia. However, a larger proportion of users living in Mecca fell under this category.

Anticipation was the emotion that was dominant or most expressed in both places. An emotion analysis revealed that people living in Mecca had more positivity than those residing in Riyadh. AEELex has been validated on commonly known and popular lexicons. A new bilingual dictionary, AEELex (Arabic English Emotion Lexicon), was designed to determine emotions derived from user tweets. The user emotions were classified on the basis of Plutchik’s eight basic emotion categories, Fear, Anger, Sadness, Joy, Surprise, Disgust, Trust, and Anticipation. We collected the Arabic geolocated tweets of users living in Mecca (holy city) and Riyadh (non-pilgrimage city). This study proposes that the user data available on Twitter has the potential to showcase the contrasting emotions of people residing in a pilgrimage city versus those residing in other, non-pilgrimage areas. A social media platform enables individuals to express their emotions and sentiments and thus acts as a reservoir for the digital emotion footprints of its users. People living in metropolitan cities have a very fast-paced life and are constantly exposed to different situations. Humans are the product of what society and their environment conditions them into being. Among them, the most essential one of using IT for disaster management is PU, while PEOU and information accessibility are more important in the web platforms. Finally, we found five major potential factors which are Perceived Usefulness (PU), Perceived Ease of Use (PEOU), information accessibility, social influence, and disaster knowledge. Social media is preferred among the first choices during disaster events in order to communicate about situations and damages.

#SIMMONS TIMETOOL SOFTWARE#

According to the findings, computer software such as GIS applications are frequently used for simulation and spatial data analysis. In order to investigate the potential factors, the technology platforms are divided into nine types. Two important factors from the Technology Acceptance Model (TAM) and others are used in describing individual behavior. This study conducted a systematic review with the academic researches during 2011-2018. Therefore, this study investigates the affecting factors on the intention to use IT for mitigating disaster’s impacts. However, there are little researches focusing on the usage behavior of Information Technology (IT) for disaster risk management (DRM). For coping with disaster, several sectors try to develop the frameworks, systems, technologies and so on. The numbers of natural disaster events are continuously affecting human and the world economics. The paper recommends raising public awareness and encouraging positive behaviors in reducing disaster risks in the study area and similar environments. Chi-square analysis indicates a significant positive relationship between place of residence and perception of disaster risks (χ2 (6) = 56.18, p < 0.05), and between place of residence and concern about disaster risks (χ2 (12) = 68.47, p < 0.05). While 37% opine that disasters are caused by both natural factors and human activities, about half (54%) indicate that they can personally contribute to reducing disaster risks. The findings indicate that although almost two-thirds (64.7%) of the participants are aware of disasters, and 81% are concerned about disaster risks, less than half (47.3%) believe that their settlements could be at risk.

Therefore, based on a questionnaire survey (n = 683), this paper explores public perception and attitudes to disaster risks in Dammam, a coastal metropolis in Saudi Arabia. However, studies on public perception of disaster risk in the country are few and nascent. In Saudi Arabia, many cities have been recently experiencing incidences of disasters, such as floods, disease epidemics, and sandstorms. Indeed, public awareness and attitudes can help in disaster risk reduction and management efforts toward reducing mortality and economic losses. Disaster risk reduction is an increasingly important policy issue, especially in developing countries that suffer most of the global human and economic losses associated with disasters.

Simmons timetool