Journal of Transportation Engineering · 2013 · 92 citations · 55 references
EngineeringEmergency ManagementCommunicationOperations ResearchData ScienceHurricane IvanRisk ManagementLogisticsSystems EngineeringDecision TheoryTransportation EngineeringStatisticsEmergency ResponseRouting StrategiesPredictive AnalyticsDisaster ResponseEmergency PreparednessEvacuation PlanningRoute ChoiceDisaster ManagementBusinessHurricane EvacuationCrisis ManagementEmergency Medicine
This paper explains a modeling approach that offers better understanding of the routing strategies taken by evacuees to reach a safe destination during hurricane evacuation. Route choice during evacuation is a complex process because evacuees may prefer to take the usual or familiar route on the way to the destination, or they might follow the routes recommended by the emergency officials. Depending on the condition of the traffic stream, sometimes they might switch to a different route to obtain better travel time from the one initially attempted, i.e., the routing behavior is random. By using data from Hurricane Ivan, a mixed (random parameters) logit model is estimated which captures the decision making process on what type of route to select while accounting for the existence of unobserved heterogeneity across households. Estimation findings indicate that the choices of evacuation routing strategy involve a complex interaction of variables related to household location, evacuation characteristics, and socioeconomic characteristics. The findings of this study are useful to determine the manner in which different factions of people select a type of route for a given sociodemographic profile during an evacuation.
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Econometric Models of Probabilistic Choice
Daniel McFadden · Medical Entomology and Zoology · 1981 · 1.8K citations
Gender, Race, and Perception of Environmental Health Risks
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