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Natural hazards are potential threats to lives, properties, and the society at large. This chapter discusses psychological resilience as a strategy in overcoming the aftermath of natural hazards, which are known as natural disasters in Nigeria. Resilience consists of individual behaviours, cognitions, actions, and attitudes that enhance personal wellbeing. The ability to exhibit resilience is important in overcoming the adverse consequences of natural hazards. A review of the concept of resilience in this chapter covers an introduction to the concept of resilience and natural hazards, cases of natural hazards in Africa and Nigeria, conceptual definition and issues relating to resilience, theoretical underpinning, recommendation, and conclusion. The various factors that are critical to the development and utilisation of psychological resilience are discussed. Relevant authorities can thus be advised on the need to set up platforms on which communities can devise methods of educating individuals on methods of developing resilience in preparation for impending natural hazards.

Organisations require novel perspectives for achieving a stable workforce. One of such perspectives is having healthy employees, through timely medical care in ambulatory clinics. But when healthcare providers exhibit turnover intentions, and ultimately turnover behaviour, the purpose for such facilities is defeated. The study sought to understand if healthcare workers’ commuting modes and the differences in their residential locations affect their turnover intentions. These variables, which are yet to be investigated in the turnover literature, were examined within the assumptions of discrete choice model. Therefore, 137 healthcare workers of 11 ambulatory clinics, randomly selected from operating clinics in Marina, Lagos Island, were surveyed using purposive sampling method. The results suggest that the differences in residential locations did not produce statistically significant differences in turnover intention. However, there were significant differences in turnover intentions of participants who drive their cars and those who commute with public transport ( F (1, 131) = 9.14, p < 0.01). Further result negates the constant travel time hypothesis and the discrete choice model. The recommendations are focused on coordinated transport schedules, decentralised congested economic activities and polycentric city planning policies. These will enhance dispersed commuting.