subject:(hurricane evacuation)

University of Florida

1. Shao, Songbai. Impact Analysis regarding Social Vulnerability, Storm Surge, and Wind for Prior Emergency Evacuation A Case Study of Escambia County, Florida.

Degree: M.U.R.P, Urban and Regional Planning, 2019, University of Florida

URL: https://ufdc.ufl.edu/UFE0054390

► A hurricane is a natural disaster that poses a threat to most coastal areas, and Florida is one of the most dangerous areas in that… (more)

Subjects/Keywords: evacuation – hurricane – surge

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APA (6^th Edition):

Shao, S. (2019). Impact Analysis regarding Social Vulnerability, Storm Surge, and Wind for Prior Emergency Evacuation A Case Study of Escambia County, Florida. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0054390

Chicago Manual of Style (16^th Edition):

Shao, Songbai. “Impact Analysis regarding Social Vulnerability, Storm Surge, and Wind for Prior Emergency Evacuation A Case Study of Escambia County, Florida.” 2019. Masters Thesis, University of Florida. Accessed January 24, 2021. https://ufdc.ufl.edu/UFE0054390.

MLA Handbook (7^th Edition):

Shao, Songbai. “Impact Analysis regarding Social Vulnerability, Storm Surge, and Wind for Prior Emergency Evacuation A Case Study of Escambia County, Florida.” 2019. Web. 24 Jan 2021.

Vancouver:

Shao S. Impact Analysis regarding Social Vulnerability, Storm Surge, and Wind for Prior Emergency Evacuation A Case Study of Escambia County, Florida. [Internet] [Masters thesis]. University of Florida; 2019. [cited 2021 Jan 24]. Available from: https://ufdc.ufl.edu/UFE0054390.

Council of Science Editors:

Shao S. Impact Analysis regarding Social Vulnerability, Storm Surge, and Wind for Prior Emergency Evacuation A Case Study of Escambia County, Florida. [Masters Thesis]. University of Florida; 2019. Available from: https://ufdc.ufl.edu/UFE0054390

Cornell University

2. Li, Chunying. Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions.

Degree: PhD, Civil and Environmental Engineering, 2011, Cornell University

URL: http://hdl.handle.net/1813/30625

► Responding to hurricanes is an exceedingly complex task whose effectiveness can significantly influence the final impact of a hurricane. Despite a lot of progress, recent… (more)

Subjects/Keywords: hurricane evacuation; dynamic traffic assignment; public shelter

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APA (6^th Edition):

Li, C. (2011). Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/30625

Chicago Manual of Style (16^th Edition):

Li, Chunying. “Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions.” 2011. Doctoral Dissertation, Cornell University. Accessed January 24, 2021. http://hdl.handle.net/1813/30625.

MLA Handbook (7^th Edition):

Li, Chunying. “Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions.” 2011. Web. 24 Jan 2021.

Vancouver:

Li C. Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1813/30625.

Council of Science Editors:

Li C. Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30625

Purdue University

3. Sarwar, Md. Tawfiq. Modeling the Dynamics of Household-level Hurricane Evacuation Timing Decisions.

Degree: MSCE, Civil Engineering, 2013, Purdue University

URL: http://docs.lib.purdue.edu/open_access_theses/68

► Frequent occurrences of hurricanes in the coastal areas of the United States in recent times have indicated the necessity of comprehensive evacuation planning. Failure… (more)

▼ Frequent occurrences of hurricanes in the coastal areas of the United States in recent times have indicated the necessity of comprehensive evacuation planning. Failure to ensure efficient and timely evacuation causes devastating impacts including loss of lives and property damages. In order to ensure efficient evacuation, emergency officials need to understand how households make evacuation decisions and how their decisions can be influenced. Households' decisions to evacuate/stay, time of departure, route choice and destination choice are four fundamental behavioral issues in the evacuation process. In this thesis, we develop a joint modeling approach for both household-level evacuation decision and departure time. Unlike many other previous works, the major contribution of the work is the inclusion of dynamic variables, such as strength or category of hurricane, direction of hurricane, height of coastal flooding etc.. A random parameter binary logit model of the evacuate/stay decision at discrete time intervals has been developed considering not only several static factors, such as, socio-economic characteristics, mandatory/voluntary notice to evacuate, but also the dynamic nature of the hurricane itself. Data from a post storm assessment survey of Hurricane Ivan has been used to obtain the static variables in this study and dynamic variables have been collected from the published advisories of National Oceanic and Atmospheric Administration (NOAA) website. These two datasets have been merged to produce an unbalanced panel data for analysis. The model results indicate that: (1) the rate of evacuating households increases as landfall approaches, (2) maximum number of households evacuate on the last day before landfall and (3) households prefer to evacuate in the morning and afternoon periods than night and late nights. Furthermore, the results show that receiving a mandatory notice or even a voluntary notice increases the probability to evacuate rather than receiving no notice. Moreover, the number of vehicles, number of children, post graduate degree, mobile house, and ownership of house are some other statistically significant variables. Using the insights of our model, the emergency officials can implement policy level decisions like imposing contra flow to ensure efficient evacuation. In addition, this model has been implemented in an agent based simulator (Repast Simphony) to obtain dynamic demand, which will eventually lead to a better understanding of the network clearance time. Advisors/Committee Members: Satish V. Ukkusuri, Satish V. Ukkusuri, Fred L. Mannering, Panagiotis Ch. Anastasopoulos.

Subjects/Keywords: decision; dynamics; evacuation; hurricane; timing; Civil Engineering

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APA (6^th Edition):

Sarwar, M. T. (2013). Modeling the Dynamics of Household-level Hurricane Evacuation Timing Decisions. (Thesis). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_theses/68

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sarwar, Md Tawfiq. “Modeling the Dynamics of Household-level Hurricane Evacuation Timing Decisions.” 2013. Thesis, Purdue University. Accessed January 24, 2021. http://docs.lib.purdue.edu/open_access_theses/68.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sarwar, Md Tawfiq. “Modeling the Dynamics of Household-level Hurricane Evacuation Timing Decisions.” 2013. Web. 24 Jan 2021.

Vancouver:

Sarwar MT. Modeling the Dynamics of Household-level Hurricane Evacuation Timing Decisions. [Internet] [Thesis]. Purdue University; 2013. [cited 2021 Jan 24]. Available from: http://docs.lib.purdue.edu/open_access_theses/68.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sarwar MT. Modeling the Dynamics of Household-level Hurricane Evacuation Timing Decisions. [Thesis]. Purdue University; 2013. Available from: http://docs.lib.purdue.edu/open_access_theses/68

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Florida International University

4. Huang, Lixin. Predicting Hurricane Evacuation Decisions: When, How Many, and How Far.

Degree: Civil Engineering, 2011, Florida International University

URL: https://digitalcommons.fiu.edu/etd/461 ; 10.25148/etd.FI11081005 ; FI11081005

► Traffic from major hurricane evacuations is known to cause severe gridlocks on evacuation routes. Better prediction of the expected amount of evacuation traffic is… (more)

▼ Traffic from major hurricane evacuations is known to cause severe gridlocks on evacuation routes. Better prediction of the expected amount of evacuation traffic is needed to improve the decision-making process for the required evacuation routes and possible deployment of special traffic operations, such as contraflow. The objective of this dissertation is to develop prediction models to predict the number of daily trips and the evacuation distance during a hurricane evacuation. Two data sets from the surveys of the evacuees from Hurricanes Katrina and Ivan were used in the models' development. The data sets included detailed information on the evacuees, including their evacuation days, evacuation distance, distance to the hurricane location, and their associated socioeconomic characteristics, including gender, age, race, household size, rental status, income, and education level. Three prediction models were developed. The evacuation trip and rate models were developed using logistic regression. Together, they were used to predict the number of daily trips generated before hurricane landfall. These daily predictions allowed for more detailed planning over the traditional models, which predicted the total number of trips generated from an entire evacuation. A third model developed attempted to predict the evacuation distance using Geographically Weighted Regression (GWR), which was able to account for the spatial variations found among the different evacuation areas, in terms of impacts from the model predictors. All three models were developed using the survey data set from Hurricane Katrina and then evaluated using the survey data set from Hurricane Ivan. All of the models developed provided logical results. The logistic models showed that larger households with people under age six were more likely to evacuate than smaller households. The GWR-based evacuation distance model showed that the household with children under age six, income, and proximity of household to hurricane path, all had an impact on the evacuation distances. While the models were found to provide logical results, it was recognized that they were calibrated and evaluated with relatively limited survey data. The models can be refined with additional data from future hurricane surveys, including additional variables, such as the time of day of the evacuation. Advisors/Committee Members: Albert Gan, L. David Shen, Mohammed Hadi, Zhenmin Chen.

Subjects/Keywords: Hurricane Evacuation; Logistic Regression; Geographically Weighted Regression

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APA (6^th Edition):

Huang, L. (2011). Predicting Hurricane Evacuation Decisions: When, How Many, and How Far. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/461 ; 10.25148/etd.FI11081005 ; FI11081005

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Huang, Lixin. “Predicting Hurricane Evacuation Decisions: When, How Many, and How Far.” 2011. Thesis, Florida International University. Accessed January 24, 2021. https://digitalcommons.fiu.edu/etd/461 ; 10.25148/etd.FI11081005 ; FI11081005.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Huang, Lixin. “Predicting Hurricane Evacuation Decisions: When, How Many, and How Far.” 2011. Web. 24 Jan 2021.

Vancouver:

Huang L. Predicting Hurricane Evacuation Decisions: When, How Many, and How Far. [Internet] [Thesis]. Florida International University; 2011. [cited 2021 Jan 24]. Available from: https://digitalcommons.fiu.edu/etd/461 ; 10.25148/etd.FI11081005 ; FI11081005.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang L. Predicting Hurricane Evacuation Decisions: When, How Many, and How Far. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/461 ; 10.25148/etd.FI11081005 ; FI11081005

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Louisiana State University

5. Bian, Ruijie. Development of a Mode and Destination Type Joint Choice Model for Hurricane Evacuation.

Degree: PhD, Transportation Engineering, 2017, Louisiana State University

URL: https://digitalcommons.lsu.edu/gradschool_dissertations/4142

► Since Hurricane Katrina, transit evacuation service has been seen to serve critical needs in affected cities and an increasing number of hurricanes have struck… (more)

Subjects/Keywords: Hurricane evacuation; Mode choice; Destination type choice

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APA (6^th Edition):

Bian, R. (2017). Development of a Mode and Destination Type Joint Choice Model for Hurricane Evacuation. (Doctoral Dissertation). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_dissertations/4142

Chicago Manual of Style (16^th Edition):

Bian, Ruijie. “Development of a Mode and Destination Type Joint Choice Model for Hurricane Evacuation.” 2017. Doctoral Dissertation, Louisiana State University. Accessed January 24, 2021. https://digitalcommons.lsu.edu/gradschool_dissertations/4142.

MLA Handbook (7^th Edition):

Bian, Ruijie. “Development of a Mode and Destination Type Joint Choice Model for Hurricane Evacuation.” 2017. Web. 24 Jan 2021.

Vancouver:

Bian R. Development of a Mode and Destination Type Joint Choice Model for Hurricane Evacuation. [Internet] [Doctoral dissertation]. Louisiana State University; 2017. [cited 2021 Jan 24]. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4142.

Council of Science Editors:

Bian R. Development of a Mode and Destination Type Joint Choice Model for Hurricane Evacuation. [Doctoral Dissertation]. Louisiana State University; 2017. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4142

Arizona State University

6. Gita, Ketut. Modeling Cascading Network Disruptions under Uncertainty For Managing Hurricane Evacuation.

Degree: Industrial Engineering, 2020, Arizona State University

URL: http://repository.asu.edu/items/62743

► Short-notice disasters such as hurricanes involve uncertainties in many facets, from the time of its occurrence to its impacts’ magnitude. Failure to incorporate these uncertainties… (more)

▼ Short-notice disasters such as hurricanes involve uncertainties in many facets, from the time of its occurrence to its impacts’ magnitude. Failure to incorporate these uncertainties can affect the effectiveness of the emergency responses. In the case of a hurricane event, uncertainties and corresponding impacts during a storm event can quickly cascade. Over the past decades, various storm forecast models have been developed to predict the storm uncertainties; however, access to the usage of these models is limited. Hence, as the first part of this research, a data-driven simulation model is developed with aim to generate spatial-temporal storm predicted hazards for each possible hurricane track modeled. The simulation model identifies a means to represent uncertainty in storm’s movement and its associated potential hazards in the form of probabilistic scenarios tree where each branch is associated with scenario-level storm track and weather profile. Storm hazards, such as strong winds, torrential rain, and storm surges, can inflict significant damage on the road network and affect the population’s ability to move during the storm event. A cascading network failure algorithm is introduced in the second part of the research. The algorithm takes the scenario-level storm hazards to predict uncertainties in mobility states over the storm event. In the third part of the research, a methodology is proposed to generate a sequence of actions that simultaneously solve the evacuation flow scheduling and suggested routes which minimize the total flow time, or the makespan, for the evacuation process from origins to destinations in the resulting stochastic time-dependent network. The methodology is implemented for the 2017 Hurricane Irma case study to recommend an evacuation policy for Manatee County, FL. The results are compared with evacuation plans for assumed scenarios; the research suggests that evacuation recommendations that are based on single scenarios reduce the effectiveness of the evacuation procedure. The overall contributions of the research presented here are new methodologies to: (1) predict and visualize the spatial-temporal impacts of an oncoming storm event, (2) predict uncertainties in the impacts to transportation infrastructure and mobility, and (3) determine the quickest evacuation schedule and routes under the uncertainties within the resulting stochastic transportation networks.

Subjects/Keywords: Industrial engineering; Dynamic Network Flows; Evacuation; Hurricane Evacuation; Hurricane Simulation; Stochastic Network; Time Dependent Routing

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APA (6^th Edition):

Gita, K. (2020). Modeling Cascading Network Disruptions under Uncertainty For Managing Hurricane Evacuation. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/62743

Chicago Manual of Style (16^th Edition):

Gita, Ketut. “Modeling Cascading Network Disruptions under Uncertainty For Managing Hurricane Evacuation.” 2020. Doctoral Dissertation, Arizona State University. Accessed January 24, 2021. http://repository.asu.edu/items/62743.

MLA Handbook (7^th Edition):

Gita, Ketut. “Modeling Cascading Network Disruptions under Uncertainty For Managing Hurricane Evacuation.” 2020. Web. 24 Jan 2021.

Vancouver:

Gita K. Modeling Cascading Network Disruptions under Uncertainty For Managing Hurricane Evacuation. [Internet] [Doctoral dissertation]. Arizona State University; 2020. [cited 2021 Jan 24]. Available from: http://repository.asu.edu/items/62743.

Council of Science Editors:

Gita K. Modeling Cascading Network Disruptions under Uncertainty For Managing Hurricane Evacuation. [Doctoral Dissertation]. Arizona State University; 2020. Available from: http://repository.asu.edu/items/62743

Louisiana State University

7. Montz, Jr., Thomas Jude. Integrating demand and traffic simulation modeling to evaluate adaptive evacuation plans.

Degree: MSCE, Civil and Environmental Engineering, 2011, Louisiana State University

URL: etd-07052011-210443 ; https://digitalcommons.lsu.edu/gradschool_theses/1667

► Significant efforts are currently being made by transportation officials to improve the planning and preparation of mass evacuations. The idea of adaptive evacuation plans… (more)

▼ Significant efforts are currently being made by transportation officials to improve the planning and preparation of mass evacuations. The idea of adaptive evacuation plans is an avenue of research that could help improve future evacuation processes. Adaptive evacuation plans stem from the observation that different disaster threat scenarios require different evacuation responses. While adaptive evacuation planning can be generalized to any form of evacuation planning, this project focused on adaptive planning in the context of a hurricane evacuation. This project was the first to adapt the demand models of Fu, et al, and Cheng, et al, into a regional-scale traffic simulation model. The conclusion of this component of research was that the use of household-level evacuation decision models to generate traffic demand in a simulation model can accurately produce cumulative evacuation volumes. The results showed R² correlations to observed cumulative evacuation volumes with values of at least 0.7. A qualitative and quantitative assessment of the traffic impacts of using adaptive evacuation plans was also performed in the study. Overall, the results showed that the average travel time across the entire simulated region was reduced by 14.8 percent when adaptive evacuation plans were employed. The significance of these results lies in their applicability in effectively moving more people out of danger when faced with a threat. The main argument behind this study was that to effectively transport evacuees, something must be known about how they will react to any given threat. A single, static evacuation plan does not tailor to the broad range of response that could come from evacuees. Evacuation plans that have been adapted to suit a range of likely evacuation responses have been shown in this study to better serve evacuees by reducing travel time and other costs associated with evacuation. The general results should be enormously important to all researchers in the evacuation field as well as emergency managers.

Subjects/Keywords: demand models; hurricane evacuation; flexible response; adaptive evacauation; transportation planning; simulation; emergency evacuation planning

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APA (6^th Edition):

Montz, Jr., T. J. (2011). Integrating demand and traffic simulation modeling to evaluate adaptive evacuation plans. (Masters Thesis). Louisiana State University. Retrieved from etd-07052011-210443 ; https://digitalcommons.lsu.edu/gradschool_theses/1667

Chicago Manual of Style (16^th Edition):

Montz, Jr., Thomas Jude. “Integrating demand and traffic simulation modeling to evaluate adaptive evacuation plans.” 2011. Masters Thesis, Louisiana State University. Accessed January 24, 2021. etd-07052011-210443 ; https://digitalcommons.lsu.edu/gradschool_theses/1667.

MLA Handbook (7^th Edition):

Montz, Jr., Thomas Jude. “Integrating demand and traffic simulation modeling to evaluate adaptive evacuation plans.” 2011. Web. 24 Jan 2021.

Vancouver:

Montz, Jr. TJ. Integrating demand and traffic simulation modeling to evaluate adaptive evacuation plans. [Internet] [Masters thesis]. Louisiana State University; 2011. [cited 2021 Jan 24]. Available from: etd-07052011-210443 ; https://digitalcommons.lsu.edu/gradschool_theses/1667.

Council of Science Editors:

Montz, Jr. TJ. Integrating demand and traffic simulation modeling to evaluate adaptive evacuation plans. [Masters Thesis]. Louisiana State University; 2011. Available from: etd-07052011-210443 ; https://digitalcommons.lsu.edu/gradschool_theses/1667

Florida International University

8. Lu, YuanYuan. An Analysis of Evacuation Behavior During Hurricane Ike.

Degree: MS, Statistics, 2015, Florida International University

URL: https://digitalcommons.fiu.edu/etd/2179 ; 10.25148/etd.FIDC000121 ; FIDC000121

► Hurricanes have been considered one of the most costly disasters in United State, which lead to both economic loss and human fatalities. Therefore, understanding… (more)

Subjects/Keywords: Hurricane evacuation; Standard logistic model; mixed logistic model; Hurricane Ike; Behavioral Economics

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APA (6^th Edition):

Lu, Y. (2015). An Analysis of Evacuation Behavior During Hurricane Ike. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2179 ; 10.25148/etd.FIDC000121 ; FIDC000121

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lu, YuanYuan. “An Analysis of Evacuation Behavior During Hurricane Ike.” 2015. Thesis, Florida International University. Accessed January 24, 2021. https://digitalcommons.fiu.edu/etd/2179 ; 10.25148/etd.FIDC000121 ; FIDC000121.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lu, YuanYuan. “An Analysis of Evacuation Behavior During Hurricane Ike.” 2015. Web. 24 Jan 2021.

Vancouver:

Lu Y. An Analysis of Evacuation Behavior During Hurricane Ike. [Internet] [Thesis]. Florida International University; 2015. [cited 2021 Jan 24]. Available from: https://digitalcommons.fiu.edu/etd/2179 ; 10.25148/etd.FIDC000121 ; FIDC000121.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lu Y. An Analysis of Evacuation Behavior During Hurricane Ike. [Thesis]. Florida International University; 2015. Available from: https://digitalcommons.fiu.edu/etd/2179 ; 10.25148/etd.FIDC000121 ; FIDC000121

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Delaware

9. Yang, Kun. Hurricane evacuation modeling: improvement and application of an integrated scenario-based evacuation framework.

Degree: PhD, University of Delaware, Department of Civil and Environmental Engineering, 2018, University of Delaware

URL: http://udspace.udel.edu/handle/19716/23963

► This dissertation describes a new computational framework to support hurricane evacuation order decision-making. The integrated scenario-based evacuation (ISE) framework explicitly captures the dynamics, uncertainty, and… (more)

Subjects/Keywords: Applied sciences; Decision support system; Evacuation; Hurricane; Uncertainty

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APA (6^th Edition):

Yang, K. (2018). Hurricane evacuation modeling: improvement and application of an integrated scenario-based evacuation framework. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/23963

Chicago Manual of Style (16^th Edition):

Yang, Kun. “Hurricane evacuation modeling: improvement and application of an integrated scenario-based evacuation framework.” 2018. Doctoral Dissertation, University of Delaware. Accessed January 24, 2021. http://udspace.udel.edu/handle/19716/23963.

MLA Handbook (7^th Edition):

Yang, Kun. “Hurricane evacuation modeling: improvement and application of an integrated scenario-based evacuation framework.” 2018. Web. 24 Jan 2021.

Vancouver:

Yang K. Hurricane evacuation modeling: improvement and application of an integrated scenario-based evacuation framework. [Internet] [Doctoral dissertation]. University of Delaware; 2018. [cited 2021 Jan 24]. Available from: http://udspace.udel.edu/handle/19716/23963.

Council of Science Editors:

Yang K. Hurricane evacuation modeling: improvement and application of an integrated scenario-based evacuation framework. [Doctoral Dissertation]. University of Delaware; 2018. Available from: http://udspace.udel.edu/handle/19716/23963

10. Connor, Courtney. Evaluating the Suitability of Phased Evacuation and Contraflow for the Evacuation of Boston's Coastal Population.

Degree: MS, Safety, Security, and Emergency Management, 2014, Encompass Digital Archive, Eastern Kentucky University

URL: https://encompass.eku.edu/etd/250

► Because the city of Boston rests along the Atlantic coast and is highly vulnerable to flooding from hurricanes, local emergency planners have considered utilizing… (more)

Subjects/Keywords: Boston; Coastal; Evacuation; Hurricane; Planning; Transportation; Emergency and Disaster Management

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APA (6^th Edition):

Connor, C. (2014). Evaluating the Suitability of Phased Evacuation and Contraflow for the Evacuation of Boston's Coastal Population. (Masters Thesis). Encompass Digital Archive, Eastern Kentucky University. Retrieved from https://encompass.eku.edu/etd/250

Chicago Manual of Style (16^th Edition):

Connor, Courtney. “Evaluating the Suitability of Phased Evacuation and Contraflow for the Evacuation of Boston's Coastal Population.” 2014. Masters Thesis, Encompass Digital Archive, Eastern Kentucky University. Accessed January 24, 2021. https://encompass.eku.edu/etd/250.

MLA Handbook (7^th Edition):

Connor, Courtney. “Evaluating the Suitability of Phased Evacuation and Contraflow for the Evacuation of Boston's Coastal Population.” 2014. Web. 24 Jan 2021.

Vancouver:

Connor C. Evaluating the Suitability of Phased Evacuation and Contraflow for the Evacuation of Boston's Coastal Population. [Internet] [Masters thesis]. Encompass Digital Archive, Eastern Kentucky University; 2014. [cited 2021 Jan 24]. Available from: https://encompass.eku.edu/etd/250.

Council of Science Editors:

Connor C. Evaluating the Suitability of Phased Evacuation and Contraflow for the Evacuation of Boston's Coastal Population. [Masters Thesis]. Encompass Digital Archive, Eastern Kentucky University; 2014. Available from: https://encompass.eku.edu/etd/250

Florida International University

11. Jiang, Fan. Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane.

Degree: MS, Statistics, 2013, Florida International University

URL: https://digitalcommons.fiu.edu/etd/883 ; 10.25148/etd.FI13042512 ; FI13042512

► With evidence of increasing hurricane risks in Georgia Coastal Area (GCA) and Virginia in the U.S. Southeast and elsewhere, understanding intended evacuation behavior is… (more)

Subjects/Keywords: hurricane evacuation; bivariate probit model; Georgia; Virginia; Applied Statistics

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APA (6^th Edition):

Jiang, F. (2013). Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/883 ; 10.25148/etd.FI13042512 ; FI13042512

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jiang, Fan. “Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane.” 2013. Thesis, Florida International University. Accessed January 24, 2021. https://digitalcommons.fiu.edu/etd/883 ; 10.25148/etd.FI13042512 ; FI13042512.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jiang, Fan. “Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane.” 2013. Web. 24 Jan 2021.

Vancouver:

Jiang F. Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane. [Internet] [Thesis]. Florida International University; 2013. [cited 2021 Jan 24]. Available from: https://digitalcommons.fiu.edu/etd/883 ; 10.25148/etd.FI13042512 ; FI13042512.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jiang F. Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane. [Thesis]. Florida International University; 2013. Available from: https://digitalcommons.fiu.edu/etd/883 ; 10.25148/etd.FI13042512 ; FI13042512

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Florida International University

12. Jiang, Fan. Three Essays on the Behavioral Responses to Coastal Hazards and Vulnerability.

Degree: PhD, Economics, 2018, Florida International University

URL: https://digitalcommons.fiu.edu/etd/3759 ; 10.25148/etd.FIDC006598 ; FIDC006598

► This dissertation consists of three papers in environmental and natural resource economics. The first paper estimates the value of statistical lives (VSL) from hurricane… (more)

Subjects/Keywords: Emergency Management; Evacuation; Hurricane; Natural Hazards; Value of Statistical Life; Economics

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APA (6^th Edition):

Jiang, F. (2018). Three Essays on the Behavioral Responses to Coastal Hazards and Vulnerability. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3759 ; 10.25148/etd.FIDC006598 ; FIDC006598

Chicago Manual of Style (16^th Edition):

Jiang, Fan. “Three Essays on the Behavioral Responses to Coastal Hazards and Vulnerability.” 2018. Doctoral Dissertation, Florida International University. Accessed January 24, 2021. https://digitalcommons.fiu.edu/etd/3759 ; 10.25148/etd.FIDC006598 ; FIDC006598.

MLA Handbook (7^th Edition):

Jiang, Fan. “Three Essays on the Behavioral Responses to Coastal Hazards and Vulnerability.” 2018. Web. 24 Jan 2021.

Vancouver:

Jiang F. Three Essays on the Behavioral Responses to Coastal Hazards and Vulnerability. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2021 Jan 24]. Available from: https://digitalcommons.fiu.edu/etd/3759 ; 10.25148/etd.FIDC006598 ; FIDC006598.

Council of Science Editors:

Jiang F. Three Essays on the Behavioral Responses to Coastal Hazards and Vulnerability. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3759 ; 10.25148/etd.FIDC006598 ; FIDC006598

East Carolina University

13. Hoekstra, Stephanie. Decisions Under Duress: Influences on Official Decision Making During Superstorm Sandy.

Degree: PhD, PHD-Coastal Resources Mgmt, 2015, East Carolina University

URL: http://hdl.handle.net/10342/5121

► During impending storms, emergency managers and politicians are tasked with the difficult decision of whether or not to issue evacuation orders for their area. This… (more)

▼ During impending storms, emergency managers and politicians are tasked with the difficult decision of whether or not to issue evacuation orders for their area. This study uses Superstorm Sandy as a case study and investigates how emergency managers (EMs) and politicians made these critical evacuation decisions. Within this larger research question, this study aimed to accomplish five objectives: determining 1) the weather information sources used; 2) the chain of communication among emergency managers and politicians; 3) the situational and cognitive factors that influenced decisions made; 4) how the uncertainty and changing weather information influenced EM perceptions of risk and decision making; and 5) the relationship between and roles of EMs and politicians. Literature on decision making has focused almost exclusively on the publics, yet it is vital to understand how these officials make decisions in order to achieve a more cohesive and interconnected network of hazardous weather preparation and response among all involved parties. A total of twenty five in-depth interviews, a focus group, and a newspaper analysis were conducted in New Jersey and New York to help answer the question of how emergency managers and politicians made decisions during Superstorm Sandy. Including different locations added a geographical and socio-economic context, which enhanced the overall understanding of the decision making process both temporally and spatially. Grounded theory, a qualitative data analysis method, was used to determine the various factors influencing decisions. A major contribution of this research to the hazards field is the creation of a decision making model fitted specifically to the role of emergency managers. This model highlights the complexity and individuality of decision making by illustrating the wide variety of factors, including those of the municipality itself, individual EM, and Sandyâ€™s uncertainty, that influenced evacuations decisions. How decisions were influenced by these factors was not uniform across geographic regions. Many factors, such as prior storm experience and knowledge of the town, proved to be more influential in the decision making process than was weather information, such as forecasts. This model further distinguished between making a decision and actually taking action, exploring the different triggers associated with turning a decision into action. The decision to evacuate is far more complex than simply providing available weather information. In a similar vein to studies that examine public response to hazards, this study considers emergency managers as individuals who often rely on a variety of non-weather sources; this recognition is key to identifying opportunities for improved response. It is vital that forecasters and other tool developers understand that the weather information they provide plays only a small part in how EMs make critical evacuation decisions. Placing emergency managers within the context of the complex, geographically-based networks in which… Advisors/Committee Members: Montz, Burrell Elizabeth (advisor), Curtis, Scott (committee member), Brewer, Jennifer F. (committee member), Avenarius, Christine B. (committee member), Tobin, Graham (committee member).

Subjects/Keywords: communication; Public administration – Decision making; Hurricane Sandy, 2012; Evacuation of civilians

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APA (6^th Edition):

Hoekstra, S. (2015). Decisions Under Duress: Influences on Official Decision Making During Superstorm Sandy. (Doctoral Dissertation). East Carolina University. Retrieved from http://hdl.handle.net/10342/5121

Chicago Manual of Style (16^th Edition):

Hoekstra, Stephanie. “Decisions Under Duress: Influences on Official Decision Making During Superstorm Sandy.” 2015. Doctoral Dissertation, East Carolina University. Accessed January 24, 2021. http://hdl.handle.net/10342/5121.

MLA Handbook (7^th Edition):

Hoekstra, Stephanie. “Decisions Under Duress: Influences on Official Decision Making During Superstorm Sandy.” 2015. Web. 24 Jan 2021.

Vancouver:

Hoekstra S. Decisions Under Duress: Influences on Official Decision Making During Superstorm Sandy. [Internet] [Doctoral dissertation]. East Carolina University; 2015. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10342/5121.

Council of Science Editors:

Hoekstra S. Decisions Under Duress: Influences on Official Decision Making During Superstorm Sandy. [Doctoral Dissertation]. East Carolina University; 2015. Available from: http://hdl.handle.net/10342/5121

Louisiana State University

14. Modali, Naveen Kumar. Modeling destination choice and measuring the transferability of hurricane evacuation patterns.

Degree: MSCE, Civil and Environmental Engineering, 2004, Louisiana State University

URL: etd-01212005-114146 ; https://digitalcommons.lsu.edu/gradschool_theses/3373

► In this study a gravity model was used to model destination choice during a hurricane evacuation. Hurricane Floyd data was used to calibrate and apply… (more)

Subjects/Keywords: hurricane; destination type; evacuation

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APA (6^th Edition):

Modali, N. K. (2004). Modeling destination choice and measuring the transferability of hurricane evacuation patterns. (Masters Thesis). Louisiana State University. Retrieved from etd-01212005-114146 ; https://digitalcommons.lsu.edu/gradschool_theses/3373

Chicago Manual of Style (16^th Edition):

Modali, Naveen Kumar. “Modeling destination choice and measuring the transferability of hurricane evacuation patterns.” 2004. Masters Thesis, Louisiana State University. Accessed January 24, 2021. etd-01212005-114146 ; https://digitalcommons.lsu.edu/gradschool_theses/3373.

MLA Handbook (7^th Edition):

Modali, Naveen Kumar. “Modeling destination choice and measuring the transferability of hurricane evacuation patterns.” 2004. Web. 24 Jan 2021.

Vancouver:

Modali NK. Modeling destination choice and measuring the transferability of hurricane evacuation patterns. [Internet] [Masters thesis]. Louisiana State University; 2004. [cited 2021 Jan 24]. Available from: etd-01212005-114146 ; https://digitalcommons.lsu.edu/gradschool_theses/3373.

Council of Science Editors:

Modali NK. Modeling destination choice and measuring the transferability of hurricane evacuation patterns. [Masters Thesis]. Louisiana State University; 2004. Available from: etd-01212005-114146 ; https://digitalcommons.lsu.edu/gradschool_theses/3373

University of South Carolina

15. Bowser, Gregg C. Determining the Differences In Hurricane Perception and Evacuation Behavior In the Elderly of South Carolina.

Degree: PhD, Geography, 2013, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/2534

► The United States is becoming a "grayer" nation. U.S. Administration of Aging projections indicate that by 2030 nearly 20 percent of the national population… (more)

▼ The United States is becoming a "grayer" nation. U.S. Administration of Aging projections indicate that by 2030 nearly 20 percent of the national population will be aged 65 or older, with a significant portion of this growth occurring along the hurricane-prone Atlantic and Gulf coasts. This demographic shift creates new challenges for emergency management. Previous research shows that the elderly do not perceive risks and warnings the same way as other groups, and as a result may react differently to risk. Disproportionately high fatality rates for the elderly in recent disasters indicate that these differences are a key determinant of survival in a disaster, and that crucial information about how elderly perceive and respond to hazards is missing. This research aims to improve understanding of how the elderly population perceives and responds to the threat of hurricanes in the rapidly graying state of South Carolina. One goal of this research is to identify and explore key differences in hurricane behavior between the younger population and the elderly. Another goal is to compare changes in behavior and intended action between two different segments of the elderly population, defined in the public health literature: the "young-old" (those aged 65 to 74) and the "aged and oldest-old" (those 75 and older.) Finally, this research explores the importance of factors such as proximity to the hurricane threat, perception of hurricane risk, and previous storm experience in evacuation behavior. This study addresses these questions through a mixed-methods approach, combining quantitative analyses using data from the 2011 South Carolina hurricane evacuation survey and interviews with elderly individuals. The findings indicate that various influences, such as pet ownership and work status, affect potential evacuation behavior differently between groups. All three age groups exhibit differences, indicating that a universal assessment of evacuation behavior may not be the best approach. Risk perception demonstrates the strongest influence as part of logistic models, and serves as an intermediary factor in causal models. Experience demonstrates variable influence between groups. The findings of this study provide the basis for planning improvements and outreach for coastal elderly populations coping with natural hazards. Advisors/Committee Members: Susan L Cutter.

Subjects/Keywords: Geography; Social and Behavioral Sciences; elderly; evacuation; hazards; hurricane; South Carolina

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APA (6^th Edition):

Bowser, G. C. (2013). Determining the Differences In Hurricane Perception and Evacuation Behavior In the Elderly of South Carolina. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/2534

Chicago Manual of Style (16^th Edition):

Bowser, Gregg C. “Determining the Differences In Hurricane Perception and Evacuation Behavior In the Elderly of South Carolina.” 2013. Doctoral Dissertation, University of South Carolina. Accessed January 24, 2021. https://scholarcommons.sc.edu/etd/2534.

MLA Handbook (7^th Edition):

Bowser, Gregg C. “Determining the Differences In Hurricane Perception and Evacuation Behavior In the Elderly of South Carolina.” 2013. Web. 24 Jan 2021.

Vancouver:

Bowser GC. Determining the Differences In Hurricane Perception and Evacuation Behavior In the Elderly of South Carolina. [Internet] [Doctoral dissertation]. University of South Carolina; 2013. [cited 2021 Jan 24]. Available from: https://scholarcommons.sc.edu/etd/2534.

Council of Science Editors:

Bowser GC. Determining the Differences In Hurricane Perception and Evacuation Behavior In the Elderly of South Carolina. [Doctoral Dissertation]. University of South Carolina; 2013. Available from: https://scholarcommons.sc.edu/etd/2534

University of South Carolina

16. Brugh, Jessica M. Don't Rock the Boat: An Analysis of Boat Mitigation Prior to Hurricane Landfall.

Degree: MSin Geography, Geography, 2019, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/5366

► Tropical cyclones are one of the most destructive and costly natural hazards in the United States. Boat owners and marinas are uniquely impacted by… (more)

Subjects/Keywords: Geography; Social and Behavioral Sciences; boat mitigation; hurricane; evacuation timing

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APA (6^th Edition):

Brugh, J. M. (2019). Don't Rock the Boat: An Analysis of Boat Mitigation Prior to Hurricane Landfall. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5366

Chicago Manual of Style (16^th Edition):

Brugh, Jessica M. “Don't Rock the Boat: An Analysis of Boat Mitigation Prior to Hurricane Landfall.” 2019. Masters Thesis, University of South Carolina. Accessed January 24, 2021. https://scholarcommons.sc.edu/etd/5366.

MLA Handbook (7^th Edition):

Brugh, Jessica M. “Don't Rock the Boat: An Analysis of Boat Mitigation Prior to Hurricane Landfall.” 2019. Web. 24 Jan 2021.

Vancouver:

Brugh JM. Don't Rock the Boat: An Analysis of Boat Mitigation Prior to Hurricane Landfall. [Internet] [Masters thesis]. University of South Carolina; 2019. [cited 2021 Jan 24]. Available from: https://scholarcommons.sc.edu/etd/5366.

Council of Science Editors:

Brugh JM. Don't Rock the Boat: An Analysis of Boat Mitigation Prior to Hurricane Landfall. [Masters Thesis]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5366

University of Georgia

17. Cowan, Laura B. Voices before the storm.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/23340

► This study is an analysis of pre-hurricane evacuation messages in newspapers. The hurricanes were selected by choosing only category three or higher storms that made… (more)

Subjects/Keywords: Hurricane; Newspaper; Media; Disaster; Social Responsibility; Evacuation; Preparation

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APA (6^th Edition):

Cowan, L. B. (2014). Voices before the storm. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/23340

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cowan, Laura B. “Voices before the storm.” 2014. Thesis, University of Georgia. Accessed January 24, 2021. http://hdl.handle.net/10724/23340.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cowan, Laura B. “Voices before the storm.” 2014. Web. 24 Jan 2021.

Vancouver:

Cowan LB. Voices before the storm. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10724/23340.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cowan LB. Voices before the storm. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/23340

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

18. Yin, Weihao. An Agent-based Travel Demand Model System for Hurricane Evacuation Simulation.

Degree: PhD, Civil Engineering, 2013, Virginia Tech

URL: http://hdl.handle.net/10919/52344

► This dissertation investigates the evacuees' behavior under hurricane evacuation conditions and develops an agent-based travel demand model system for hurricane evacuation simulation using these behavioral… (more)

▼ This dissertation investigates the evacuees' behavior under hurricane evacuation conditions and develops an agent-based travel demand model system for hurricane evacuation simulation using these behavioral findings. The dissertation econometrically models several important evacuation decisions including evacuate-stay, accommodation type choice, evacuation destination choice, evacuation mode choice, departure time choice, and vehicle usage choice. In addition, it explicitly considers the pre-evacuation preparation activities using activity-based approach. The models are then integrated into a two-module agent-based travel demand model system. The dissertation first develops the evacuate-stay choice model using the random-coefficient binary logit specification. It uses heterogeneous mean of the random parameter across households to capture shadow evacuation. It is found that the likelihood of evacuation for households that do not receive any evacuation notice decreases as their distance to coast increase on average. The distance sensitivity factor, or DSF, is introduced to construct the different scenarios of geographical extent of shadow evacuation. The dissertation then conducts statistical analysis of the vehicle usage choice. It identifies the contributing factors to households' choice of the number of vehicles used for evacuation and develop predictive models of this choice that explicitly consider the constraint imposed by the number of vehicles owned by the household. This constraint is not accommodated by ordered response models. Data comes from a post-storm survey for Hurricane Ivan. The two models developed are variants of the regular Poisson regression model: the Poisson model with exposure and right-censored Poisson regression. The right-censored Poisson model is preferred due to its inherent capabilities, better fit to the data, and superior predictive power. The multivariable model and individual variable analyses are used to investigate seven hypotheses. Households traveling longer distances or evacuating later are more likely to use fewer vehicles. Households with prior hurricane experience, greater numbers of household members between 18 and 80, and pet owners are more likely to use a greater number of vehicles. Income and distance from the coast are insignificant in the multivariable models, although their individual effects have statistically significant linear relationship. However, the Poisson based models are non-linear. The method for using the right-censored Poisson model for producing the desired share of vehicle usage is also provided for the purpose of generating individual predictions for simulation. The dissertation then presents a descriptive analysis of and econometric models for households' pre-evacuation activities based on behavioral intention data collected for Miami Beach, Florida. The descriptive analysis shows that shopping - particularly food, gasoline, medicine, and cash withdrawal - accounts for the majority of preparation activities, highlighting the importance of… Advisors/Committee Members: Murray-Tuite, Pamela M. (committeechair), Wernstedt, Kris F. (committee member), Rakha, Hesham A. (committee member), Hancock, Kathleen L. (committee member).

Subjects/Keywords: Hurricane Evacuation; Agent-based Modeling and Simulation; Household Behavior

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APA (6^th Edition):

Yin, W. (2013). An Agent-based Travel Demand Model System for Hurricane Evacuation Simulation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52344

Chicago Manual of Style (16^th Edition):

Yin, Weihao. “An Agent-based Travel Demand Model System for Hurricane Evacuation Simulation.” 2013. Doctoral Dissertation, Virginia Tech. Accessed January 24, 2021. http://hdl.handle.net/10919/52344.

MLA Handbook (7^th Edition):

Yin, Weihao. “An Agent-based Travel Demand Model System for Hurricane Evacuation Simulation.” 2013. Web. 24 Jan 2021.

Vancouver:

Yin W. An Agent-based Travel Demand Model System for Hurricane Evacuation Simulation. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10919/52344.

Council of Science Editors:

Yin W. An Agent-based Travel Demand Model System for Hurricane Evacuation Simulation. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/52344

Louisiana State University

19. Gudishala, Ravindra. Development of a time-dependent, audio-visual, stated choice method of data collection for hurricane evacuation behavior.

Degree: PhD, Civil and Environmental Engineering, 2011, Louisiana State University

URL: etd-11022011-165822 ; https://digitalcommons.lsu.edu/gradschool_dissertations/550

► Revealed preference is the traditional method to collect hurricane evacuation behavior data. However, revealed preference surveys, as they are currently administered, have the disadvantage that… (more)

Subjects/Keywords: Hurricane evacuation behavior; Evacuation demand modeling; Self-administered Survey; Revealed Preference Survey; Stated Choice Survey; Data Collection

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APA (6^th Edition):

Gudishala, R. (2011). Development of a time-dependent, audio-visual, stated choice method of data collection for hurricane evacuation behavior. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-11022011-165822 ; https://digitalcommons.lsu.edu/gradschool_dissertations/550

Chicago Manual of Style (16^th Edition):

Gudishala, Ravindra. “Development of a time-dependent, audio-visual, stated choice method of data collection for hurricane evacuation behavior.” 2011. Doctoral Dissertation, Louisiana State University. Accessed January 24, 2021. etd-11022011-165822 ; https://digitalcommons.lsu.edu/gradschool_dissertations/550.

MLA Handbook (7^th Edition):

Gudishala, Ravindra. “Development of a time-dependent, audio-visual, stated choice method of data collection for hurricane evacuation behavior.” 2011. Web. 24 Jan 2021.

Vancouver:

Gudishala R. Development of a time-dependent, audio-visual, stated choice method of data collection for hurricane evacuation behavior. [Internet] [Doctoral dissertation]. Louisiana State University; 2011. [cited 2021 Jan 24]. Available from: etd-11022011-165822 ; https://digitalcommons.lsu.edu/gradschool_dissertations/550.

Council of Science Editors:

Gudishala R. Development of a time-dependent, audio-visual, stated choice method of data collection for hurricane evacuation behavior. [Doctoral Dissertation]. Louisiana State University; 2011. Available from: etd-11022011-165822 ; https://digitalcommons.lsu.edu/gradschool_dissertations/550

Louisiana State University

20. Cullen, Holly Houk. An evaluation of post-Katrina emergency preparedness strategies in hospitals on the U.S. Gulf of Mexico coastline.

Degree: PhD, Human Resources Management, 2011, Louisiana State University

URL: etd-09162011-151909 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2531

► Recent tragedies are causing hospitals to more intensively review their strategies and broaden their approach to emergency preparation. The Gulf Coast storms of 2005 and… (more)

▼ Recent tragedies are causing hospitals to more intensively review their strategies and broaden their approach to emergency preparation. The Gulf Coast storms of 2005 and 2008 and other catastrophic events nationwide have illustrated the central role hospitals can and should play in a community’s disaster recovery infrastructure. Given the unpredictability of the world today, with the possibility of a mass casualty crisis constantly threatening, there is an urgent need to seek and achieve higher levels of readiness. If a hospital organization is not investing in emergency preparedness on a continuous basis, that facility and its community are placed at higher risk. After bearing the brunt of several major, damaging storms for the past five years, hospitals along the coast in Louisiana, Mississippi and Texas have heightened their involvement in their own and their communities’ recoveries, rebuilding their respective facilities and human resources so they can offer quality healthcare services to their communities. This study sought to answer the following research question: What strategies are hospitals in coastal Louisiana, Mississippi and Texas using in their emergency preparedness plans five years since Hurricanes Katrina and Rita to facilitate their ability to respond more effectively under crisis conditions and to maintain critical patient care operations? The researcher took an in-depth look at the many lessons learned by nine Gulf Coast region hospitals during their experiences with Hurricanes Katrina, Rita, Gustav and Ike by interviewing hospital administrators and emergency preparedness personnel. These interactions revealed strategies that the hospitals have implemented and what has yet to be done. Study participants provided an evaluation of their emergency policies and plans, practices and implementation as well as improvements, evacuation versus shelter-in-place strategies, training and drills, supplies, reimbursement, communication and human resource issues. The study sought to identify trends and best practices being used by coastal healthcare facilities and to determine which of these have been put into practice. Finally, the study identified opportunities for future research in hospital emergency preparedness.

Subjects/Keywords: patient tracking; evacuation; hospital hurricane preparedness; hospital hurricane plans; hospital emergency preparedness; hospital emergency strategies; hospital emergency best practices

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APA (6^th Edition):

Cullen, H. H. (2011). An evaluation of post-Katrina emergency preparedness strategies in hospitals on the U.S. Gulf of Mexico coastline. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-09162011-151909 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2531

Chicago Manual of Style (16^th Edition):

Cullen, Holly Houk. “An evaluation of post-Katrina emergency preparedness strategies in hospitals on the U.S. Gulf of Mexico coastline.” 2011. Doctoral Dissertation, Louisiana State University. Accessed January 24, 2021. etd-09162011-151909 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2531.

MLA Handbook (7^th Edition):

Cullen, Holly Houk. “An evaluation of post-Katrina emergency preparedness strategies in hospitals on the U.S. Gulf of Mexico coastline.” 2011. Web. 24 Jan 2021.

Vancouver:

Cullen HH. An evaluation of post-Katrina emergency preparedness strategies in hospitals on the U.S. Gulf of Mexico coastline. [Internet] [Doctoral dissertation]. Louisiana State University; 2011. [cited 2021 Jan 24]. Available from: etd-09162011-151909 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2531.

Council of Science Editors:

Cullen HH. An evaluation of post-Katrina emergency preparedness strategies in hospitals on the U.S. Gulf of Mexico coastline. [Doctoral Dissertation]. Louisiana State University; 2011. Available from: etd-09162011-151909 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2531

University of North Texas

21. Li, Xiangyu. Delaying Evacuation: Risk Communication in Mobilizing Evacuees.

Degree: 2014, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc699992/

► Evacuation is oftentimes the best means to prevent the loss of lives when residents encounter certain hazards, such as hurricanes. Emergency managers and experts make… (more)

▼ Evacuation is oftentimes the best means to prevent the loss of lives when residents encounter certain hazards, such as hurricanes. Emergency managers and experts make great efforts to increase evacuation compliance but risk area residents may procrastinate even after making the decision to leave, thus complicating response activities. Purpose - This study explores the factors determining evacuees’ mobilization periods, defined here as, the delay time between the decision to evacuate and actual evacuation. The theoretical model that guides this research is built on the protective action decision model (PADM). It captures both the social and psychological factors in the process of transferring risk information to mobilization action. The psychological process of risk communication originates from personalized external information and ends with the formation of risk perception, ultimately influencing evacuees’ mobilizations. Design/methodology/approach – Using structural equation modeling (SEM), the model is tested using survey data collected from Hurricane Rita (2005) evacuees in 2006 (N = 897). The residents of three Texas coastal counties (Harris, Brazoria, and Galveston) are randomly selected and telephone-interviewed. Findings – The findings indicate that mobilizations are affected directly by respondents’ concerns of the threats to their personal lives and costs and dangers on their evacuation trips. The perceptions of evacuees can be related to their exposure, attention, and understanding of the risk information. Research limitations/implications – The results suggest that practitioners pay more attention on the residents’ understanding of different types of risks, their abilities to process the risk information, as well as the means information is delivered. Therefore the public authorities should be more active in protecting evacuees’ properties and assets, as well as encourage evacuees to take closer shelters to avoid potential costs on road. Also the community should be more involved in mobilizing evacuation, as long as social cues can assist evacuees to better comprehend the threat information. Originality/value – This study tests the PADM framework empirically and structurally. It also clarifies the definition of evacuation mobilization using a new operation based on the evacuation groups per household. Advisors/Committee Members: Maghelal, Praveen Kumar, Andrew, Simon A., Arlikatti, Sudha.

Subjects/Keywords: mobilization; hurricane evacuation; risk communication; protective action decision model; Evacuation of civilians – Texas – Case studies.; Emergency management – Texas – Case studies.; Hurricane Rita, 2005.

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APA (6^th Edition):

Li, X. (2014). Delaying Evacuation: Risk Communication in Mobilizing Evacuees. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc699992/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Li, Xiangyu. “Delaying Evacuation: Risk Communication in Mobilizing Evacuees.” 2014. Thesis, University of North Texas. Accessed January 24, 2021. https://digital.library.unt.edu/ark:/67531/metadc699992/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Li, Xiangyu. “Delaying Evacuation: Risk Communication in Mobilizing Evacuees.” 2014. Web. 24 Jan 2021.

Vancouver:

Li X. Delaying Evacuation: Risk Communication in Mobilizing Evacuees. [Internet] [Thesis]. University of North Texas; 2014. [cited 2021 Jan 24]. Available from: https://digital.library.unt.edu/ark:/67531/metadc699992/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li X. Delaying Evacuation: Risk Communication in Mobilizing Evacuees. [Thesis]. University of North Texas; 2014. Available from: https://digital.library.unt.edu/ark:/67531/metadc699992/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universiteit Utrecht

22. Korman, A.A. Shelter evacuation in relation to demand characteristics in Dominica.

Degree: 2015, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/318142

► Reducing disaster vulnerability is one of the main objectives of government actions in countries prone to natural hazards like hurricanes. Evacuation policy planners in such… (more)

Subjects/Keywords: Buildings extraction; object-oriented classification; data mining; SOM clustering; network analysis; evacuation planning; hurricane risk.

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APA (6^th Edition):

Korman, A. A. (2015). Shelter evacuation in relation to demand characteristics in Dominica. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/318142

Chicago Manual of Style (16^th Edition):

Korman, A A. “Shelter evacuation in relation to demand characteristics in Dominica.” 2015. Masters Thesis, Universiteit Utrecht. Accessed January 24, 2021. http://dspace.library.uu.nl:8080/handle/1874/318142.

MLA Handbook (7^th Edition):

Korman, A A. “Shelter evacuation in relation to demand characteristics in Dominica.” 2015. Web. 24 Jan 2021.

Vancouver:

Korman AA. Shelter evacuation in relation to demand characteristics in Dominica. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2021 Jan 24]. Available from: http://dspace.library.uu.nl:8080/handle/1874/318142.

Council of Science Editors:

Korman AA. Shelter evacuation in relation to demand characteristics in Dominica. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/318142

University of Alabama

23. Rockman, Meganne S. The role of hurricane characteristics and storm track on evacuation decision making of Pensacola, Florida residents.

Degree: 2014, University of Alabama

URL: http://purl.lib.ua.edu/120451

► Over the past four decades there have been numerous studies on hurricane evacuation. Despite a voluminous collection of literature, few studies have offered insight on… (more)

Subjects/Keywords: Electronic Thesis or Dissertation; – thesis; Geography; Geographic information science and geodesy; evacuation; Florida; hurricane; Pensacola

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APA (6^th Edition):

Rockman, M. S. (2014). The role of hurricane characteristics and storm track on evacuation decision making of Pensacola, Florida residents. (Thesis). University of Alabama. Retrieved from http://purl.lib.ua.edu/120451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rockman, Meganne S. “The role of hurricane characteristics and storm track on evacuation decision making of Pensacola, Florida residents.” 2014. Thesis, University of Alabama. Accessed January 24, 2021. http://purl.lib.ua.edu/120451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rockman, Meganne S. “The role of hurricane characteristics and storm track on evacuation decision making of Pensacola, Florida residents.” 2014. Web. 24 Jan 2021.

Vancouver:

Rockman MS. The role of hurricane characteristics and storm track on evacuation decision making of Pensacola, Florida residents. [Internet] [Thesis]. University of Alabama; 2014. [cited 2021 Jan 24]. Available from: http://purl.lib.ua.edu/120451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rockman MS. The role of hurricane characteristics and storm track on evacuation decision making of Pensacola, Florida residents. [Thesis]. University of Alabama; 2014. Available from: http://purl.lib.ua.edu/120451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Alabama

24. Kumlachew, Menasse Teklewold. Transit evacuation planning for Mobile County, Alabama.

Degree: 2010, University of Alabama

URL: http://purl.lib.ua.edu/13858

► The main objectives of this thesis research were to: (1) estimate the potential number of transit dependent individuals during a major hurricane event and (2)… (more)

▼ The main objectives of this thesis research were to: (1) estimate the potential number of transit dependent individuals during a major hurricane event and (2) provide information describing how to effectively communicate with these individuals before, during and after an emergency evacuation. Mobile County was used as a case study. Mobile County is one of the two Alabama coastal counties exposed to the effects of hurricane storm surges, wind and rain. The amount of danger the residents face depends on the intensity of hurricanes, the locations of the individuals, and the amount of prior preparation and planning by emergency agencies. During these events special needs individuals are the primary endangered people since they require special assistance to evacuate and are not usually included in emergency evacuation plans. Since special needs populations are diversified, and mostly isolated, it is difficult to identify, locate and communicate emergency information with them. The study reviewed several reports and guidebooks published by federal and state emergency management agencies. This review was supplemented by contacting individuals working in the area of emergency management and evacuation of special needs populations. The study identified a variety of communication systems which can be applied in emergency information communication. The systems' limitations and strengths in serving the special needs individuals were assessed based on the literature. The number of potential transit dependent populations was estimated in three ways. Each method used a different dataset: (1) Census 2000, (2) 2006 American Community Survey and (3) Harvard Telephone Survey. There were several major findings for this part of the study: 1. There was a general correspondence between the three estimates, but it was not strong enough to make a statistical comparison. 2. The census data and American Community Survey data contain large standard errors, as much as ±30% at a 90th percentile confidence level. 3. The actual numbers of evacuees for previous categories 3 and 2 hurricane events near Mobile County were less than 11% of the average predicted levels. In summary, this study provided information to assist Mobile County prepare evacuation plans to deal with extreme events. (Published By University of Alabama Libraries) Advisors/Committee Members: Turner, Daniel S., Lindly, Jay K., Weber, Joe, University of Alabama. Dept. of Civil, Construction, and Environmental Engineering.

Subjects/Keywords: Electronic Thesis or Dissertation; – thesis; Engineering, Civil; Transportation; Communication; Estimation; Evacuation; Hurricane; Special needs; Transit

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APA (6^th Edition):

Kumlachew, M. T. (2010). Transit evacuation planning for Mobile County, Alabama. (Thesis). University of Alabama. Retrieved from http://purl.lib.ua.edu/13858

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kumlachew, Menasse Teklewold. “Transit evacuation planning for Mobile County, Alabama.” 2010. Thesis, University of Alabama. Accessed January 24, 2021. http://purl.lib.ua.edu/13858.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kumlachew, Menasse Teklewold. “Transit evacuation planning for Mobile County, Alabama.” 2010. Web. 24 Jan 2021.

Vancouver:

Kumlachew MT. Transit evacuation planning for Mobile County, Alabama. [Internet] [Thesis]. University of Alabama; 2010. [cited 2021 Jan 24]. Available from: http://purl.lib.ua.edu/13858.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kumlachew MT. Transit evacuation planning for Mobile County, Alabama. [Thesis]. University of Alabama; 2010. Available from: http://purl.lib.ua.edu/13858

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of South Carolina

25. Pham, Erika O. Analysis Of Evacuation Behaviors And Departure Timing For October 2016’s Hurricane Matthew.

Degree: MS, Geography, 2018, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/4797

► During a hurricane, an individual’s risk perception does not remain static. Spatial and temporal variations of a hurricane will shift perceptions of risk, and… (more)

Subjects/Keywords: Geography; Social and Behavioral Sciences; Analysis; Evacuation Behaviors; Departure Timing; October 2016; Hurricane Matthew

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APA (6^th Edition):

Pham, E. O. (2018). Analysis Of Evacuation Behaviors And Departure Timing For October 2016’s Hurricane Matthew. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4797

Chicago Manual of Style (16^th Edition):

Pham, Erika O. “Analysis Of Evacuation Behaviors And Departure Timing For October 2016’s Hurricane Matthew.” 2018. Masters Thesis, University of South Carolina. Accessed January 24, 2021. https://scholarcommons.sc.edu/etd/4797.

MLA Handbook (7^th Edition):

Pham, Erika O. “Analysis Of Evacuation Behaviors And Departure Timing For October 2016’s Hurricane Matthew.” 2018. Web. 24 Jan 2021.

Vancouver:

Pham EO. Analysis Of Evacuation Behaviors And Departure Timing For October 2016’s Hurricane Matthew. [Internet] [Masters thesis]. University of South Carolina; 2018. [cited 2021 Jan 24]. Available from: https://scholarcommons.sc.edu/etd/4797.

Council of Science Editors:

Pham EO. Analysis Of Evacuation Behaviors And Departure Timing For October 2016’s Hurricane Matthew. [Masters Thesis]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/4797

Louisiana State University

26. Fennell, Jason. A decision making framework for hurricane evacuation and sheltering.

Degree: MSCE, Civil and Environmental Engineering, 2009, Louisiana State University

URL: etd-04142009-103539 ; https://digitalcommons.lsu.edu/gradschool_theses/3446

► There are few tools currently available to emergency managers to assist in making decisions about whether to evacuate, shelter locally, or shelter-in-place, and none of… (more)

Subjects/Keywords: wind; sheltering; evacuation; hurricane; risk; decision

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APA (6^th Edition):

Fennell, J. (2009). A decision making framework for hurricane evacuation and sheltering. (Masters Thesis). Louisiana State University. Retrieved from etd-04142009-103539 ; https://digitalcommons.lsu.edu/gradschool_theses/3446

Chicago Manual of Style (16^th Edition):

Fennell, Jason. “A decision making framework for hurricane evacuation and sheltering.” 2009. Masters Thesis, Louisiana State University. Accessed January 24, 2021. etd-04142009-103539 ; https://digitalcommons.lsu.edu/gradschool_theses/3446.

MLA Handbook (7^th Edition):

Fennell, Jason. “A decision making framework for hurricane evacuation and sheltering.” 2009. Web. 24 Jan 2021.

Vancouver:

Fennell J. A decision making framework for hurricane evacuation and sheltering. [Internet] [Masters thesis]. Louisiana State University; 2009. [cited 2021 Jan 24]. Available from: etd-04142009-103539 ; https://digitalcommons.lsu.edu/gradschool_theses/3446.

Council of Science Editors:

Fennell J. A decision making framework for hurricane evacuation and sheltering. [Masters Thesis]. Louisiana State University; 2009. Available from: etd-04142009-103539 ; https://digitalcommons.lsu.edu/gradschool_theses/3446

The Ohio State University

27. Roa-Henriquez, Alfredo R. Decision Making in Natural Disasters: An Analysis of Firms’ Strategic Behavior on Economic Resilience and Influence of Hurricane Intensity Forecasts on Evacuation Decisions.

Degree: PhD, Public Policy and Management, 2019, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1565947147689077

► This dissertation is about organizational-level resilience and decision-making in the face of natural hazards. While interest in resilience has accelerated, research multiplied, and the number… (more)

▼ This dissertation is about organizational-level resilience and decision-making in the face of natural hazards. While interest in resilience has accelerated, research multiplied, and the number of policies and implementations of resilience to natural hazards have increased over the last several years, mainly at the level of communities and regions, there has been a dearth of empirical work on resilience at the level of the firm. And although different strategies have been proposed in the supply-chain literature, most of these include resilience actions that must be put in place prior to disruptions. These pre-disaster planning actions are often referred to as “mitigation” in the literature. In this dissertation, I will focus on measuring economic resilience at the level of the firm. The biggest difference between supply-chain resilience and economic resilience is that the latter focuses on resilience actions that can be implemented after a disruption begins whereas the former focuses on actions that must be put in place before a shock. This dissertation will make the major contribution of introducing a resilience strategy that I call resource sharing in the context of economic resilience.This dissertation consists of three main papers. Chapters one and two are studies at the level of the firm. The third chapter is an empirical analysis at the individual level. The first chapter is a theoretical component that provides propositions, conceptualizations and a theoretical framework to understand the relationships between the sharing of resources, the dependence on critical resources on the external environment, and resilience at the level of the organization. The second chapter uses empirical data and a sample selection model to test some hypotheses posed in the first chapter. The objective is to understand how the sharing of resources among organizations is related to economic resilience. Empirical results that are obtained from a sample of firms affected by Superstorm Sandy and Hurricane Harvey indicate that there is unobserved heterogeneity that explains the strategic behavior of firms in the post-disaster and that those firms that are more likely to resource share are also the ones that exhibit higher economic resilience. The third chapter is based on a human subjects experiment aimed at testing the effect of hurricane intensity forecasts on evacuation decision-making in a disaster-preparation context. I hypothesize that decision-makers with more information (i.e., individuals exposed to hurricane intensity forecasts) and decision-makers with less information (i.e., individuals not exposed to hurricane intensity forecasts) exhibit differences in their decision to evacuate, in the accuracy of their decision (i.e., timing), and in their determination for evacuation location. Results indicate that decision makers with more information in the form of forecasts evacuate more frequently and earlier than decision makers exposed to lower levels of information. This chapter has in common with the previous two chapters the… Advisors/Committee Members: Dormady, Noah (Advisor).

Subjects/Keywords: Public Policy; Management; Economic Resilience, Resource Sharing, Resource Dependence, Hurricane Intensity Forecast, Evacuation Decision

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APA (6^th Edition):

Roa-Henriquez, A. R. (2019). Decision Making in Natural Disasters: An Analysis of Firms’ Strategic Behavior on Economic Resilience and Influence of Hurricane Intensity Forecasts on Evacuation Decisions. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1565947147689077

Chicago Manual of Style (16^th Edition):

Roa-Henriquez, Alfredo R. “Decision Making in Natural Disasters: An Analysis of Firms’ Strategic Behavior on Economic Resilience and Influence of Hurricane Intensity Forecasts on Evacuation Decisions.” 2019. Doctoral Dissertation, The Ohio State University. Accessed January 24, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1565947147689077.

MLA Handbook (7^th Edition):

Roa-Henriquez, Alfredo R. “Decision Making in Natural Disasters: An Analysis of Firms’ Strategic Behavior on Economic Resilience and Influence of Hurricane Intensity Forecasts on Evacuation Decisions.” 2019. Web. 24 Jan 2021.

Vancouver:

Roa-Henriquez AR. Decision Making in Natural Disasters: An Analysis of Firms’ Strategic Behavior on Economic Resilience and Influence of Hurricane Intensity Forecasts on Evacuation Decisions. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2021 Jan 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1565947147689077.

Council of Science Editors:

Roa-Henriquez AR. Decision Making in Natural Disasters: An Analysis of Firms’ Strategic Behavior on Economic Resilience and Influence of Hurricane Intensity Forecasts on Evacuation Decisions. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1565947147689077

Louisiana State University

28. Urbina, Elba Alicia. A state-of-the-practice review of hurricane evacuation plans and policies.

Degree: MSCE, Civil and Environmental Engineering, 2001, Louisiana State University

URL: etd-0418102-140236 ; https://digitalcommons.lsu.edu/gradschool_theses/136

► The events of recent hurricane seasons have made evacuation one of the leading emergency management issues. In 1998 and 1999, Hurricanes Georges and Floyd precipitated… (more)

Subjects/Keywords: traffic engineering; reversible lanes; contraflow; emergency and disaster planning; emergency evacuation; hurricane evacuation; evacuation

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APA (6^th Edition):

Urbina, E. A. (2001). A state-of-the-practice review of hurricane evacuation plans and policies. (Masters Thesis). Louisiana State University. Retrieved from etd-0418102-140236 ; https://digitalcommons.lsu.edu/gradschool_theses/136

Chicago Manual of Style (16^th Edition):

Urbina, Elba Alicia. “A state-of-the-practice review of hurricane evacuation plans and policies.” 2001. Masters Thesis, Louisiana State University. Accessed January 24, 2021. etd-0418102-140236 ; https://digitalcommons.lsu.edu/gradschool_theses/136.

MLA Handbook (7^th Edition):

Urbina, Elba Alicia. “A state-of-the-practice review of hurricane evacuation plans and policies.” 2001. Web. 24 Jan 2021.

Vancouver:

Urbina EA. A state-of-the-practice review of hurricane evacuation plans and policies. [Internet] [Masters thesis]. Louisiana State University; 2001. [cited 2021 Jan 24]. Available from: etd-0418102-140236 ; https://digitalcommons.lsu.edu/gradschool_theses/136.

Council of Science Editors:

Urbina EA. A state-of-the-practice review of hurricane evacuation plans and policies. [Masters Thesis]. Louisiana State University; 2001. Available from: etd-0418102-140236 ; https://digitalcommons.lsu.edu/gradschool_theses/136

29. Huang, Shih-Kai. Households’ Evacuation Decision in Response to Hurricanes Katrina and Rita.

Degree: PhD, Urban and Regional Sciences, 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/153425

► Although evacuation has been recognized as an effective protective action in responding to a hurricane emergency, it is still not clear why some people leave… (more)

▼ Although evacuation has been recognized as an effective protective action in responding to a hurricane emergency, it is still not clear why some people leave but others do not. In order to better understand this issue, this study began with a statistical meta-analysis (SMA), which is a procedure that has never been conducted previously in the field of disaster studies. The SMA indicates that homeownership, official warning, risk area, seeing peers evacuating, expected hydrological impacts, and expected wind impacts have strong and consistent effects on evacuation decisions whereas female gender, black ethnicity, presence of children in the home, reliance on news media for storm information, reliance on peers for storm information, and hurricane intensity have weaker effects that might be due to mediation through psychological variables. Next, this study collected data from the Hurricane Katrina and Rita evacuations and extended the results of the SMA by testing the Huang et al. (2012) abbreviated protective action decision model (PADM). The results show that (1) a household’s evacuation decision, as predicted, is determined most directly by expected wind impacts and expected evacuation impediments. In turn, expected wind impacts and expected hydrological impacts are primarily determined by expected storm threat and expected rapid onset. Finally, expected storm threat, expected rapid onset, and expected evacuation impediments are determined by households’ personal characteristics, their reception of hurricane information, and their observations of social and environmental cues. (2) Surprisingly, expected hydrological impacts did not have as much of an impact on evacuation decisions as wind impacts—which are associated with expected injuries, job disruption, and service disruption. (3) Official warnings and risk area also had direct effects on households’ evacuation decisions, which can be explained as the peripheral route to persuasion that bypasses messages about the personal impacts hurricane impact (Petty & Cacioppo, 1986). (4) Unlike other hurricane evacuation studies, this one found that expected rapid onset had a significant effect on households’ evacuation decisions, perhaps because both Hurricanes Katrina and Rita had late-changing tracks that might have caused residents to be concerned being caught on the road by a rapidly approaching storm. (5) Supplemental information, such as environmental cues, risk area, and hurricane experience, have effects on individuals’ expectations of storm threat, wind impacts, and hydrological impacts that are similar to those of National Weather Service information that is disseminated through multiple information channels (e.g., news media and official warnings). This implies that households used other sources to place the National Weather Service’s hurricane information into an appropriate context. Nonetheless, some of the results conflict with the model presented by Huang et al. (2012), so further research is needed to determine whether the conflicting results can be… Advisors/Committee Members: Lindell, Michael K. (advisor), Prater, Carla S. (committee member), Van Zandt, Shannon S. (committee member), Mumpower, Jeryl L. (committee member).

Subjects/Keywords: Hurricane evacuation; Hurricane Katrina; Hurricane Rita; Risk perception; Protective Action Decision Model

…Hurricane Center OffOrder Receiving Official Evacuation Order OffWarn Observed Official… …103 APPENDIX A ACTUAL HURRICANE EVACUATION STUDIES PUBLISHED 1991 TO 2012… …113 APPENDIX B HYPOTHETICAL HURRICANE EVACUATION INTENTION STUDIES PUBLISHED 1991 TO 2013… …Huang et al., 2012, 2013). The solution to these hurricane evacuation issues is… …hurricane evacuation decisions. However, the conclusions about the significance of these…

10 more images…

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APA (6^th Edition):

Huang, S. (2014). Households’ Evacuation Decision in Response to Hurricanes Katrina and Rita. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153425

Chicago Manual of Style (16^th Edition):

Huang, Shih-Kai. “Households’ Evacuation Decision in Response to Hurricanes Katrina and Rita.” 2014. Doctoral Dissertation, Texas A&M University. Accessed January 24, 2021. http://hdl.handle.net/1969.1/153425.

MLA Handbook (7^th Edition):

Huang, Shih-Kai. “Households’ Evacuation Decision in Response to Hurricanes Katrina and Rita.” 2014. Web. 24 Jan 2021.

Vancouver:

Huang S. Households’ Evacuation Decision in Response to Hurricanes Katrina and Rita. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1969.1/153425.

Council of Science Editors:

Huang S. Households’ Evacuation Decision in Response to Hurricanes Katrina and Rita. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153425

University of Florida

30. Cahyanto, Ignatius P. Modeling Tourist’s Evacuation Decision While at the Destination Effects of Individual Characteristics, Travel Related Variables, Information Search and Risk Appraisal.

Degree: PhD, Health and Human Performance, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044019

► The purpose of this study was to examine the role of tourists’ individual characteristics, travel related variables, information search and risk appraisal in influencing their… (more)

Subjects/Keywords: Analytical forecasting; Disasters; Emergency evacuations; Hurricanes; Information search; Information search behavior; Mathematical variables; Tourism; Travel; Warnings; evacuation – hurricane – tourist; City of Orlando ( local )

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APA (6^th Edition):

Cahyanto, I. P. (2012). Modeling Tourist’s Evacuation Decision While at the Destination Effects of Individual Characteristics, Travel Related Variables, Information Search and Risk Appraisal. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044019

Chicago Manual of Style (16^th Edition):

Cahyanto, Ignatius P. “Modeling Tourist’s Evacuation Decision While at the Destination Effects of Individual Characteristics, Travel Related Variables, Information Search and Risk Appraisal.” 2012. Doctoral Dissertation, University of Florida. Accessed January 24, 2021. https://ufdc.ufl.edu/UFE0044019.

MLA Handbook (7^th Edition):

Cahyanto, Ignatius P. “Modeling Tourist’s Evacuation Decision While at the Destination Effects of Individual Characteristics, Travel Related Variables, Information Search and Risk Appraisal.” 2012. Web. 24 Jan 2021.

Vancouver:

Cahyanto IP. Modeling Tourist’s Evacuation Decision While at the Destination Effects of Individual Characteristics, Travel Related Variables, Information Search and Risk Appraisal. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Jan 24]. Available from: https://ufdc.ufl.edu/UFE0044019.

Council of Science Editors:

Cahyanto IP. Modeling Tourist’s Evacuation Decision While at the Destination Effects of Individual Characteristics, Travel Related Variables, Information Search and Risk Appraisal. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044019

Open Access Theses and Dissertations