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.

Self-management of coronary heart disease in angina patients after percutaneous coronary intervention: A mixed methods study.

After having elective percutaneous coronary intervention (PCI) patients are expected to self-manage their coronary heart disease (CHD) by modifying their risk factors, adhering to medication and effectively managing any recurring angina symptoms but that may be ineffective. Objective: Explore how patients self-manage their coronary heart disease (CHD) after elective PCI and identify any factors that may infl uence that. Design and method: This mixed methods study recruited a convenience sample of patients (n=93) approximately three months after elective PCI. Quantitative data were collected using a survey and were subject to univariate, bivariate and multi-variate analysis. Qualitative data from participant interviews was analysed using thematic analysis. Findings: After PCI, 74% of participants managed their angina symptoms inappropriately. Younger participants and those with threatening perceptions of their CHD were more likely to know how to effectively manage their angina symptoms. Few patients adopted a healthier lifestyle after PCI. Qualitative analysis revealed that intentional non-adherence to some medicines was an issue. Some participants felt unsupported by healthcare providers and social networks in relation to their self-management. Participants reported strong emotional responses to CHD and this had a detrimental effect on their self-management. Few patients accessed cardiac rehabilitation.