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The destination choice is an essential step of the travel demand modeling. Many previous studies were concentrated on land use which means that the utilization of land for different activities such as residential, commercial, industrial, educational, etc. is linked with travel demand. Accessibility is often seen to be an important determinant of the activities destination choice. This study is concerned with using the accessibility concept to investigate the utility function of the activity destination choice. A case study is Port Said (PS) City in Egypt. The characteristics of time, cost, and income level are obtained from activity based comprehensive transportation surveys. The benefit or utility of choosing a specific activity (BM values) are estimated based on the calculation of accessibility benefit from time-space geography measures for different zones in PS. Binary and Multinomial logit models were used for daily activities performed by individuals. During different time segment, the model predicts individual probability of choosing one of the following five activities: work, shopping, school, university, and Leisure. The accessibility benefits are examined associating with decreasing travel time (public transport-oriented development), improving income level for poor, and restricting car use. Finally, the model approved to be sensitive to different measures and hence it can be used as an effective informative tool to the decision makers.

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Research on the impact of the COVID-19 pandemic on social workers is limited, especially from low-income countries. Hence, this study examined the effect of this international health crisis on the mental health of 261 social workers in health care settings in Egypt. Generalized anxiety and stress generated by fear of COVID-19 directly influenced social workers’ intention to leave their current job. The findings show the vulnerability of social workers employed in health care settings during the COVID-19 pandemic. Their mental well-being is less than optimal, which might contribute to a high turnover rate.