Effectiveness of Traffic Management Strategies at Destination during Emergency Evacuation

Wang, Faming; Li, Cheng; Zhou, Xiangyang; Nayak, Mahesh; Chen, Xiaoming

doi:10.1080/19439962.2010.487784

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Past work on spatiotemporal evacuation trigger buffers (Dennison et al 2007, Larsen et al 2011 and the use of volunteered geographic information (Pultar et al 2010) have been shown to effectively model the safe evacuation of people from wildfires. Research in transportation networks and how they can be optimized to evacuated citizens from hurricanes has also proven successful at simulating the movement of people away from the hurricane's impacts (Naghawi and Wolshon 2010, Wang et al 2010, Fries et al 2011. The model in this paper extends this work by including the evacuations of building contents rather than the evacuations of people.…”

Section: Discussionmentioning

confidence: 95%

“…Evacuations help to protect the lives of citizens who are at risk during a disaster. An extensive literature has investigated the spatiotemporal simulation of evacuating people from fires (Cova et al 2005, Dennison et al 2007, Larsen et al 2011, Shenhar et al 2012, hurricanes (Chen et al 2006, Chiu et al 2008, Naghawi and Wolshon 2010, Wang et al 2010, Fries et al 2011, and floods Ahmad 2005, Kim et al 2011). Two spatial decision support systems (SDSS) exist that aid in estimating evacuations during disasters such as hurricanes, floods and earthquakes (HURREVAC, http://www.hurrevac.com/ and Hazus-MH, http://www.fema.gov/hazus).…”

Section: List Of Tablesmentioning

confidence: 99%

“…For communities and individuals faced with the possibility of being flooded, risk perception is a function of the location and spatial variation of risk (Siebeneck and Cova 2012). Work on evacuations for hurricanes (involving coastal flooding and hurricane winds) have examined the ability for transportation networks to handle the traffic volumes during an evacuation (Naghawi and Wolshon 2010, Wang et al 2010, Fries et al 2011. Similar work has examined the ability for transportation networks to support evacuations from fires as well (Cova and Johnson 2002).…”

Section: Modeling Spatiotemporal Hazards For Decision Supportmentioning

confidence: 99%

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Modeling geospatial events during flood disasters for response decision-making

Hubbard¹

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Your comments, suggestions, and guidance while pursuing my Ph.D. have been enormously helpful. I would also like to thank Dr. Sue Grimmond and Dr. Pao Wang. You both continued to push my academic interests and encouraged that I pursue a Ph.D. I would also like to thank my family. Laura, you have been very encouraging all along the way. You have picked up the slack in the family at times when my schedule has been full. You have raised our two boys to be incredible children that we are both so proud of. When everything is turned upside down you manage to turn it all right-side-up. I certainly would not have been able to complete this dissertation without you. To Mark and Nolan, thank you for being patient over the past two years. I would also like to thank my parents. I would not be finishing a Ph.D. if it were not for you. You always placed your children first and yourselves second. You provided every possible opportunity to me and set me up for success, every chance you could. You continue to push me to succeed in life and have continued to support my interests in completing a Ph.D. Finally, I would like to thank Duane and Judy Wagner. I have enjoyed having you in my life. You have provided incredible support to our family and especially while I have been trying to complete this dissertation.

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Section: Discussionmentioning

confidence: 95%

Section: List Of Tablesmentioning

confidence: 99%

Section: Modeling Spatiotemporal Hazards For Decision Supportmentioning

confidence: 99%

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Modeling geospatial events during flood disasters for response decision-making

Hubbard¹

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Modeling spatiotemporal patterns of building vulnerability and content evacuations before a riverine flood disaster

Hubbard¹,

Stewart²,

Fan³

2014

Applied Geography

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Like a Hurricane: A Citation Analysis of Emergency Management Scholarly Literature

Noe

Furay

2013

Community & Junior College Libraries

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This bibliometric study used citation analysis to uncover citing characteristics in the burgeoning academic field of emergency management. Of the 281 degree programs listed by the Federal Emergency Management Agency nationwide, those at community colleges accounted for 17 percent of the total. Using the interdisciplinary database of Academic Search Complete, a sample of 5,099 citations was collected from 146 articles published between 2002 and 2012. The most strongly represented disciplines revealed by the analysis were Social Science, Science/Technology and Medicine. A majority of citations (45%) came from academic journals, with nearly half (44%) of those from Social Science. When citing outside of their discipline, medical and science/technology journals cited most often from Social Science, 70% and 12%, respectively. This study also finds the 20 most frequently cited journals, which will be of help to collection development and subject librarians.

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Effectiveness of Traffic Management Strategies at Destination during Emergency Evacuation

Cited by 5 publications

References 12 publications

Modeling geospatial events during flood disasters for response decision-making

Modeling geospatial events during flood disasters for response decision-making

Modeling spatiotemporal patterns of building vulnerability and content evacuations before a riverine flood disaster

Like a Hurricane: A Citation Analysis of Emergency Management Scholarly Literature

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