Browsing by Author "Kuligowski E"
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- ItemCalibrating the Wildfire Decision Model using hybrid choice modelling(Elsevier Ltd, 2020-11) Lovreglio R; Kuligowski E; Walpole E; Link E; Gwynne SWildfire occurrences is creating serious challenges for fire and emergency response services and a diverse range of communities around the world due to the increment of the occurrence of these disasters. As such, understanding the physical and social dynamics characterizing wildfires events is paramount to reduce the risk of these natural disasters. As such, one of the main challenges is to understand how households perceive wildfires and respond to them as part of the evacuation process. In this work, the Wildfire Decision Model originally proposed in Lovreglio et al. [1] is calibrated using a hybrid choice model formulation. The Wildfire Decision Model is a newly developed behavioural choice model for large-scale wildfire evacuations based on the estimation of the risk perceived by households and the impact that this has on the decision-making process. This model is calibrated using a hybrid choice modelling solution and survey data collected after the 2016 Chimney Tops 2 wildfire in Tennessee, USA. The proposed model shows good agreement with the preliminary findings available in the wildfire evacuation literature; namely, the perceived risk is affected by both external factors (i.e., warnings and fire cues) and internal factors (i.e., education, previous wildfire evacuation experience and time of residency in a property).
- ItemInvestigating Evacuation Behaviour in Retirement Facilities: Case Studies from New Zealand(2021-05-01) Rahouti A; Lovreglio R; Nilsson D; Kuligowski E; Jackson P; Rothas FAgeing populations are generating new challenges for the safe design of buildings and infrastructure systems in communities around the world. Elderly building occupants are more likely to have mobility impairments, and in turn, require longer times and increased assistance to evacuate buildings compared with able-bodied adults. To date, only a few studies have been carried out to assess the evacuation performance of elderly evacuees in retirement homes. Therefore, it is necessary to collect critical evacuation data, such as pre-evacuation times and evacuation speeds, for these occupancy types. This work investigates the evacuation behaviour of elderly evacuees and caretaking staff using video recordings of evacuation in retirement facilities. The paper presents three case studies. The first case study includes unannounced drills, which took place in communal areas of retirement homes during a live music exhibition and in a kitchen. The second case study is a series of unannounced drills, which took place in independent living apartment buildings of a retirement facility. The last case study is of a single announced evacuation drill, which took place in a communal area of a retirement building. Qualitative results indicate that the occupants’ behaviours depended on their role (i.e. resident or staff) and on the type of monitored area (i.e. apartment building or communal area). Pre-evacuation times measured in this study are in accordance with values stated in the literature, and walking speeds fall in the range of values reported in past studies of these types of building. Finally, results revealed that there is a significant gap between the data provided in this work and the SFPE design curves used for buildings, since the SFPE design curves do not explicitly account for adults with mobility impairments.
- ItemInvestigating office buildings evacuations using unannounced fire drills: The case study of CERN, Switzerland(2021-10-01) Rahouti A; Lovreglio R; Dias C; Kuligowski E; Gai G; La Mendola SThe main objective of this paper is to explore evacuees’ behaviour during an unannounced fire drill using data collected in two office buildings located at CERN, in Switzerland. Overall, a total of 142 pre-evacuation time measurements, 121 evacuee walking speed measurements in staircase configurations, and 336 evacuee walking speed measurements on floor configurations are included in the dataset. These data were compared with the existing evacuation data for office buildings. This comparison revealed that the pre-evacuation times measured in the present study are significantly lower compared to existing data from the literature for the same type of occupancy. Walking speed data collected in corridors in the present study is within the range of the values reported in previous studies. Further, walking speeds on descending stairways measured in the present study were significantly higher than those available in the literature. However, the novel dataset presented in this study is in accordance with the values recommended in well-known guidelines (such as the SFPE Handbook) and could be used in the future to simulate evacuations of office buildings.