Why Don't Coastal Residents Choose to Evacuate for Hurricanes?

Petrolia, Daniel R.; Bhattacharjee, Sanjoy

doi:10.1080/08920751003605365

Cited by 49 publications

(22 citation statements)

References 7 publications

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“…Early evaluation measures suggest that the course still could draw more from the hazards literature on construction of risk and social models and paradigms of human response to complement physical process instruction. For example, one coastal application that could be explored further is the psychology of evacuation and its relationship to warnings (e.g., Baker 1995;Petrolia and Bhattacharjee 2010).…”

Section: Discussion and Future Workmentioning

confidence: 99%

In the Eye of the Storm: A Participatory Course on Coastal Storms

Curtis

2013

Journal of Geography

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Storm disasters are amplified in the coastal environment due to population pressures and the power of the sea. The upper-division/graduate university course Coastal Storms was designed to equip future practitioners with the skills necessary to understand, respond to, and mitigate for these natural disasters. To accomplish this, Coastal Storms integrates active learning approaches, namely literature discussions, GIS labs, and field excursions. Further, the pedagogical model employed aligns the course objectives with fundamental geographic principles: understanding of geographic patterns, awareness of social-physical interactions, and capacity for geographic writing. Informal evaluation of Coastal Storms suggests that the course objectives are being met. Finally, the overall intent of describing the pedagogy of this particular course is so it can be used as a model for shaping the future of hazards courses in geography programs.

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Section: Discussion and Future Workmentioning

confidence: 99%

In the Eye of the Storm: A Participatory Course on Coastal Storms

Curtis

2013

Journal of Geography

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“…All five graphics were developed for land-falling scenarios targeting Pensacola, FL and Jacksonville, FL. Studies using tropical cyclone graphics with hypothetical scenarios have recently been used by Petrolia and Bhattacharjee (2010) and Matyas et al, (2011); albeit for different purposes. The graphics shown in Figure 2 are based on hypothetical Pensacola, FL landfalls.…”

Section: Methodsmentioning

confidence: 99%

Suggestions for alternative tropical cyclone warning graphics in the USA

Radford

Senkbeil

Rockman

2013

Disaster Prevention and Management: An International Journal

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Purpose -The cone of uncertainty (COU) warning graphic has created confusion for people trying to make evacuation and safety decisions. The purpose of this research was to create several alternative tropical cyclone graphics and present them to the public and college students via face-to-face surveys and polling. Design/methodology/approach -Surveys depicting hypothetical landfall scenarios were administered in Pensacola and Jacksonville, FL. Respondents ranked five graphics in order of preference, and were encouraged to discuss their rankings. Following this initial field research, the most popular graphic of these five was compared to a graphic resembling the one used by The Australian Bureau of Meteorology. Comments were recorded for respondents favoring or disliking the Australian graphic in two separate analyses. A final graphic emphasizing post-landfall hazards was also created as a suggestion for future research and evaluated directly against the most popular graphics from field research. Findings -A graphic called the color-probability-cone was the most popular graphic in field research. There were subtle differences in graphic preference resulting from age and gender influences, with only one significant result. Comments from subsequent analyses reveal that the Australian graphic causes mixed reactions. A final analysis with a larger sample of college students revealed that the color-probability-cone was the most popular choice; however, comments reveal that many respondents who had used hurricane graphics before liked the specificity presented by the Australian graphic and the hazards graphic. Originality/value -This research represents a possible initial step in the process of establishing a tropical cyclone warning graphic that is informative, visually appealing, and effective.

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“…Extensive reviews can be found in Dash and Gladwin (2007), Lindell (2013), Murray-Tuite and , and Yazici and Ozbay (2008). The recent literature provides quantitative characterization of evacuation behavior, mostly by fitting statistical models based on survey data, assuming random utility maximization (e.g., Hasan et al, 2012Hasan et al, , 2011Huang et al, 2012;Lazo et al, 2010;Mesa-arango et al, 2013;Murray-Tuite et al, 2012;Ng et al, 2015;Petrolia and Bhattacharjee, 2010;Sadri et al, 2014;Whitehead, 2005). A majority of these models were developed to identify the main factors that influence people's evacuation decision, but most formulations are not readily integrated with a network traffic model due to the lack of supporting data for the explanatory variables.…”

Section: Literature Reviewmentioning

confidence: 99%