Moving to manage: A mixed methods study of later life relocation into supported housing.

This study describes relocation experiences of older people moving to supported housing in Scotland focusing on the nature of support. Using mixed methods, Phase one involved a Scottish cross-sectional survey of all people aged 65 and over moving into Coburg (Scotland) Housing Association supported accommodation during the first six months of 2008. A total of 122 respondents were included in the survey (59% response rate). People moved locally at advanced ages with moderate disability levels to achieve more manageable housing and support, suggesting ‘assistance migration’. Expectations were high, with many seeing it as a new start in life and generally positive views of moving were reported. In Phase two, five in-depth multiple-perspective longitudinal case studies were conducted to explore the experience of relocation into supported housing. In each case an older person, primary carer and the housing manager - all women – were interviewed over six months following relocation. Analysis was undertaken using a thematic framework approach (Ritchie et al., 2003). Findings suggested older women acted with agency to adapt to their new lives; recreating ‘normality’ through organising space and routines. It is argued that returning to normality formed the overarching objective of the older women as they sought to feel ‘in place’. Responsibilities for meeting assistance needs were often implicit, contested and shifting, leading to fragile, uncertain and transitory arrangements. Drawing on recent advances in developmental psychology it is argued ‘longings’ of older people, and others, to achieve an optimal life can relate and motivate towards actions such as relocation. Yet, personal ‘longings’ can be prioritised differently and may result in disputes over goal setting and ways needs are met. Further, utopian ideals must be reconciled with the reality of daily life. Policy and practitioners could adopt broader, dignity based objectives to assist older people to identify ways of aiding such reconciliation.

A mixed logit model for predicting exit choice during building evacuations.

Knowledge on human behaviour in emergency is crucial to increase the safety of buildings and transportation systems. Decision making during evacuations implies different choices, of which one of the most important concerns the escape route. The choice of a route may involve local decisions between alternative exits from an enclosed environment. This work investigates the influence of environmental (presence of smoke, emergency lighting and distance of exit) and social factors (interaction with evacuees close to the exits and with those near the decision-maker) on local exit choice. This goal is pursued using an online stated preference survey carried out making use of non-immersive virtual reality. A sample of 1,503 participants is obtained and a Mixed Logit Model is calibrated using these data. The model shows that presence of smoke, emergency lighting, distance of exit, number of evacuees near the exits and the decision-maker, and flow of evacuees through the exits significantly affect local exit choice. Moreover, the model points out that decision making is affected by a high degree of behavioural uncertainty. Our findings support the improvement of evacuation models and the accuracy of their results, which can assist in designing and managing building and transportation systems. The main contribution of this work is to enrich the understanding of how local exit choices are made and how behavioural uncertainty affects these choices.