Browsing by Author "Kuligowski E"

Now showing 1 - 6 of 6
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    A highway vehicle routing dataset during the 2019 Kincade Fire evacuation.
    (Springer Nature Limited, 2022-10-07) Xu Y; Zhao X; Lovreglio R; Kuligowski E; Nilsson D; Cova TJ; Yan X
    As the threat of wildfire increases, it is imperative to enhance the understanding of household evacuation behavior and movements. Mobile GPS data provide a unique opportunity for studying evacuation routing behavior with high ecological validity, but there are little publicly available data. We generated a highway vehicle routing dataset derived from GPS trajectories generated by mobile devices (e.g., smartphones) in Sonoma County, California during the 2019 Kincade Fire that started on October 23, 2019. This dataset contains 21,160 highway vehicle routing records within Sonoma County from October 16, 2019 to November 13, 2019. The quality of the dataset is validated by checking trajectories and average travel speeds. The potential use of this dataset lies in analyzing and modeling evacuee route choice behavior, estimating traffic conditions during the evacuation, and validating wildfire evacuation simulation models.
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    Calibrating the Wildfire Decision Model using hybrid choice modelling
    (Elsevier Ltd, 2020-11) Lovreglio R; Kuligowski E; Walpole E; Link E; Gwynne S
    Wildfire 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).
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    Determinants of Gaps in Human Behaviour in Fire Research
    (Springer Nature, 2024-08-08) Ronchi E; Kapalo K; Bode N; Boyce K; Cuesta A; Feng Y; Galea ER; Geoerg P; Gwynne S; Kennedy EB; Kinateder M; Kinsey M; Kuligowski E; Köster G; Lovreglio R; Mossberg A; Ono R; Spearpoint M; Strahan K; Wong SD
    This short communication presents the findings of the work conducted by the human behaviour in fire permanent working group of the International Association for Fire Safety Science. Its aim is to identify determinants of research gaps in the field of human behaviour in fire. Two workshops were conducted in 2023 in which research gaps were identified and discussed by twenty experts. The workshops led experts through a series of questions to determine the reasons (or determinants) for these gaps in human behaviour in building fires and wildfires. Through the questions, the primary identified determinants were (1) researchers’ literacy in the variety of methods adopted in the field, (2) difficulties associated with recruitment of study participants, (3) multi-disciplinary barriers across different research sub-domains, and (4) issues in obtaining funding for addressing fundamental human behaviour in fire research questions. Two key issues emerged from an open discussion during the workshops, namely the difficulties in attracting and training new people in the field (given the limited educational offers around the world on the topic) and the need for more regular opportunities for the community to meet.
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    Human behaviour in fire: Knowledge foundation and temporal evolution
    (Elsevier B.V., 2024-02-13) Haghani M; Lovreglio R; Button ML; Ronchi E; Kuligowski E
    Understanding human behaviour in fires (HBiF), whether in building or wildland fire contexts, is crucial for saving lives and managing evacuations. However, existing research lacks a comprehensive analysis of HBiF knowledge from both perspectives. To address this issue, we examined nearly 1900 HBiF-related research papers and their references, identifying around 6600 frequently cited references as the HBiF knowledge foundation. We focused on highly prominent items using metrics like citation frequency, burst, and centrality. By analysing co-citation patterns among these references, we unveiled current trends and waning areas of HBiF research. This study identifies knowledge gaps and potential future directions for the field, enabling both mapping of the research concerning our fundamental understanding of behavioural decision-making in fires as well as developing more effective life-saving strategies.
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    Investigating Evacuation Behaviour in Retirement Facilities: Case Studies from New Zealand
    (1/05/2021) Rahouti A; Lovreglio R; Nilsson D; Kuligowski E; Jackson P; Rothas F
    Ageing 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.
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    Investigating 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 S
    The 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.