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Pamela Murray-Tuite
Researcher at Clemson University
Publications - 124
Citations - 3047
Pamela Murray-Tuite is an academic researcher from Clemson University. The author has contributed to research in topics: Poison control & Hurricane evacuation. The author has an hindex of 27, co-authored 102 publications receiving 2362 citations. Previous affiliations of Pamela Murray-Tuite include Virginia Tech & University of Texas at Austin.
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Journal ArticleDOI
Evacuation transportation modeling: An overview of research, development, and practice
TL;DR: This paper presents a review of highway-based evacuation modeling and simulation and its evolution over the past decade, including the current state of modeling in the forecasting of evacuation travel demand, distribution and assignment of evacuation demand to regional road networks to reach destinations.
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Behavioral Model to Understand Household-Level Hurricane Evacuation Decision Making
TL;DR: In this article, a model of household hurricane evacuation behavior accounting for households' heterogeneous behavior in decision-making is presented, where random parameters reflect the heterogeneous responses of households caused by a hurricane.
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Methodology for Determining Vulnerable Links in a Transportation Network
TL;DR: A bilevel formulation is developed to identify vulnerable transportation network links and a key component of this formulation is the vulnerability index, which is a measure of the importance of a specific link to the connectivity of an origin-destination pair.
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An agent-based modeling system for travel demand simulation for hurricane evacuation
TL;DR: In this article, an agent-based travel demand model system for hurricane evacuation simulation is presented, which is capable of generating comprehensive household activity-travel plans, including evacuation/stay, accommodation type choice, evacuation destination choice, mode choice, vehicle usage choice and departure time choice.
Proceedings ArticleDOI
A comparison of transportation network resilience under simulated system optimum and user equilibrium conditions
TL;DR: Multiple metrics for the four examined contributing components that will aid future development of a single measure of resilience are presented, finding that user equilibrium results in better adaptability and safety while system optimum yields better mobility and faster recovery.