scholarly journals Modelling traffic during Lilac Wildfire evacuation using cellular data

Author(s):  
Benjamin Melendez ◽  
Sahar Ghanipoor Machiani ◽  
Atsushi Nara
Keyword(s):  
2021 ◽  
Vol 107 (1) ◽  
pp. 911-935 ◽  
Author(s):  
Alex W. Dye ◽  
John B. Kim ◽  
Andrew McEvoy ◽  
Fang Fang ◽  
Karin L. Riley

2016 ◽  
Vol 60 ◽  
pp. 144-159 ◽  
Author(s):  
Anton Beloglazov ◽  
Mahathir Almashor ◽  
Ermyas Abebe ◽  
Jan Richter ◽  
Kent Charles Barton Steer

2020 ◽  
Vol 29 (12) ◽  
pp. 1120 ◽  
Author(s):  
Erica D. Kuligowski ◽  
Emily H. Walpole ◽  
Ruggiero Lovreglio ◽  
Sarah McCaffrey

As wildfires occurring at the wildland–urban interface (WUI) continue to become more severe, there is an increasing need to understand human behaviour in these situations, and evacuation decision-making in particular. To contribute to this understanding, an online survey (using both mail and online sampling methods) was disseminated to households impacted by the 2016 Chimney Tops 2 fire in Tennessee. The survey instrument measured pre-event variables such as awareness of fire risks and previous experience with evacuations as well as the types of warnings and fire cues received during the event, with a focus on factors known to impact evacuation decisions and risk perception. Using linear and logistic regression analyses, it was found that fire cues and receiving warnings from a trusted source influenced risk perceptions leading up to an evacuation decision. In line with the Protective Action Decision Model, risk perception also highly influenced evacuation decisions, along with other variables, i.e. gender and prior preparation actions. Results from this work provide support for findings from previous wildfire evacuation research as well as produce some novel findings, along with several methodological recommendations, which will be further explored.


GeoJournal ◽  
2011 ◽  
Vol 78 (2) ◽  
pp. 273-285 ◽  
Author(s):  
Thomas J. Cova ◽  
David M. Theobald ◽  
John B. Norman ◽  
Laura K. Siebeneck

2009 ◽  
Vol 13 ◽  
pp. 85-104 ◽  
Author(s):  
Edward Pultar ◽  
Martin Raubal ◽  
Thomas J Cova ◽  
Michael F Goodchild

2019 ◽  
Vol 29 (3) ◽  
pp. 249-265
Author(s):  
Micah L. Brachman ◽  
Richard Church ◽  
Benjamin Adams ◽  
Danielle Bassett

Purpose Emergency evacuation plans are often developed under the assumption that evacuees will use wayfinding strategies such as taking the shortest distance route to their nearest exit. The purpose of this paper is to analyze empirical data from a wildfire evacuation analyzed to determine whether evacuees took a shortest distance route to their nearest exit and to identify any alternate wayfinding strategies that they may have used. Design/methodology/approach The wildfire evacuation analysis presented in this paper is the outcome of a natural experiment. A post-fire online survey was conducted, which included an interactive map interface that allowed evacuees to identify the route that they took. The survey results were integrated with several additional data sets using a GIS. Network analysis was used to compare the routes selected by evacuees to their shortest distance routes, and statistical hypothesis testing was employed to identify the wayfinding strategies that may have been used. Findings The network analysis revealed that 31 percent of evacuees took a shortest distance route to their nearest exit. Hypothesis testing showed that evacuees selected routes that had significantly longer distances and travel times than the shortest distance routes, and indicated that factors such as the downhill slope percentage of routes and the elevation of exits may have impacted the wayfinding process. Research limitations/implications This research is best regarded as a spatiotemporal snapshot of wayfinding behavior during a single wildfire evacuation, but could inspire additional research to establish more generalizable results. Practical implications This research may help emergency managers develop more effective wildfire evacuation plans. Originality/value This research presents an analysis of an original data set that contributes to the broader body of scientific knowledge on wayfinding and spatial behavior during emergency evacuations.


2022 ◽  
Vol 103 ◽  
pp. 103147
Author(s):  
M.R.K. Siam ◽  
Haizhong Wang ◽  
Michael K. Lindell ◽  
Chen Chen ◽  
Eleni I. Vlahogianni ◽  
...  

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