Browsing by Author "Lovreglio, R"

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    Automation in Fire Safety Engineering Using BIM and Generative Design
    (2022-01) Lovreglio, R; Thompson, P; Feng, Z
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    Evacuation Data from a Hospital Outpatient Drill The Case Study of North Shore Hospital
    (Collective Dynamics, 1/01/2020) Rahouti, A; Lovreglio, R; Jackson, P; Sélim, D; Dederichs, A; Köster, G; Schadschneider, A
    Assessing the fire safety of buildings is fundamental to reduce the impact of this threat on their occupants. Such an assessment can be done by combining existing models and existing knowledge on how occupants behave during fires. Although many studies have been carried out for several types of built environment, only few of those investigate healthcare facilities and hospitals. In this study, we present a new behavioural data-set for hospital evacuations. The data was collected from the North Shore Hospital in Auckland (NZ) during an unannounced drill carried out in May 2017. This drill was recorded using CCTV and those videos are analysed to generate new evacuation model inputs for hospital scenarios. We collected pre-movement times, exit choices and total evacuation times for each evacuee. Moreover, we estimated pre-movement time distributions for both staff members and patients. Finally, we qualitatively investigated the evacuee actions of patients and staff members to study their interaction during the drill. The results show that participants were often independent from staff actions with a majority able to make their own decision.
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    Risk perception and knowledge of protective measures for flood risk planning. The case study of Brindisi (Puglia region)
    (2022-09-01) Santoro, S; Totaro, V; Lovreglio, R; Camarda, D; Iacobellis, V; Fratino, U
    Floods are among the most frequent natural hazards, and flood risk management is a paramount task when planning solutions to reduce their impact on communities. In the last decades, policy makers' actions for flood risk management have been redirected from purely physical self-protective measures towards integrated management strategies by including social components. Assessing flood risk perception and the level of knowledge of citizens regarding protective measures is becoming a pillar for generating innovative flood integrated management strategies. This study aims to highlight multiple aspects which can influence flood risk management in urban areas, providing a preliminary assessment of citizens’ flood risk perception and knowledge of protective measures. Proposed methodology is based on E-survey in order to gather data and Mann-Whitney and Kruskal-Wallis tests to analyze them and has been applied to the case study of Brindisi (Puglia region, Southern Italy). The results suggest that flood risk perception depends on intrinsic components of individuals, mainly related to trust in public strategies and risk communication. It depends on hazard proximity but is uniformly distributed over the whole city, demonstrating that the perception of flood risk can not be related only to river floods. Knowledge of protective measures appears uniformly low by category of citizens and territorial area, particularly for teenagers. The methodological approach has allowed to bring out how the different nature of floods could produce a spatial and social heterogeneity in citizens’ flood risk perception and knowledge of protective measures, revealing latent risk features useful for supporting flood risk planning.