Browsing by Author "Edara, Praveen"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Modeling Evacuees' Intended Responses to a Phased Hurricane Evacuation Order
    Bian, Ruijie; Murray-Tuite, Pamela; Trainor, Joseph; Edara, Praveen; Triantis, Konstantinos (MDPI, 2023-04-21)
    Phased evacuation is an under-studied strategy, and relatively little is known about compliance with the phased process. This study modelled households' responses to a phased evacuation order based on a household behavioral intention survey. About 66% of the evacuees reported that they would comply with a phased evacuation order. A latent class logit model sorted evacuees into two classes ("evacuation reluctant" and "evacuation keen") by their stakeholder perceptions (i.e., whether government agencies have responsibility for the safety of individuals) and evacuation perceptions (i.e., whether evacuation is an effective protective action), while risk perception becomes non-significant in interpreting their compliance behavior to a phased evacuation order. Those that evacuate to the home of friends/relatives and/or bring more vehicles during evacuation are less likely to follow phased evacuation orders. "Evacuation reluctant" individuals with a longer housing tenure are more likely to follow phased evacuation orders. "Evacuation keen" individuals with a longer travel delay expectation are more likely to comply with phased evacuation orders. This study not only unveiled the impacts of incorporating three psychological perceptions (i.e., risk, stakeholder, and evacuation perceptions) in modeling compliance behavior (e.g., parameter sign/significance shift) but also provides insights of evacuees' compliance behavior to phased evacuation orders.
  • Thumbnail Image
    Modeling the impact of traffic management strategies on households' stated evacuation decisions
    Bian, Ruijie; Murray-Tuite, Pamela; Edara, Praveen; Triantis, Konstantinos (Elsevier, 2022-10)
    Evacuation traffic management has been implemented in large-scale disaster evacuations (such as hurricanes) to facilitate traffic flow and reduce travel delay. The outcomes of these strategies were quantified via traffic simulation but were assumed to have no/limited impacts on households' evacuation-related decisions. This study analyzed and modeled the impact of these strategies on five evacuation related household choices (evacuate/stay, departure time, route, vehicle, and destination) separately based on 415 responses collected from a stated preference survey. The survey was conducted in 2017 in coastal areas near Hampton Roads. Traffic management is likely to motivate some (32%) households to evacuate instead of sheltering in place. In addition, not all households take the interstates with traffic management even though route choice is the most likely to be affected by traffic management. Households need more information for their departure time and destination choices in response to traffic management since they are more likely to feel uncertain of the impact of the strategies on these decisions. Such uncertainty in departure time and destination choice is especially true for those who evacuate late and for those who choose accommodations other than the home of friends/relatives. Emergency management agencies should also be aware that some households may intentionally depart before traffic management starts. Among the five choices, vehicle use is the choice that is least likely to be affected. All the above-mentioned findings potentially affect parameter specifications in evacuation traffic simulation studies. This study then used multinomial logit models to estimate the impacts of traffic management on each of the five evacuation related choices. The model estimation results can help improve evacuation demand predictions and guide evacuation information dissemination.