Logistics of patient evacuation in response to disease Outbreaks: Critical considerations for transportation planning

Yazdani, Maziar; Haghani, Milad

doi:10.1016/j.trip.2023.100975

Cited by 1 publication

(1 citation statement)

References 68 publications

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“…Conversely, solutions obtained by minimizing distance may lead to relatively higher risk values. This method can also be applied to researching other disasters, such as floods [30], wildfires [55], and disease outbreaks [56], since these disasters also pose high risks. A model aimed at reducing risk to ensure safe evacuation is equally applicable for such scenarios.…”

Section: Discussionmentioning

confidence: 99%

Multi-Objective Evcuation Planning Model Considering Post-Earthquake Fire Spread: A Tokyo Case Study

Tang,

Osaragi

2024

Sustainability

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As an integral part of the 2030 Agenda for Sustainable Development, Disaster Risk Reduction (DRR) is essential for human safety and city sustainability. In recent years, natural disasters, which have had a tremendous negative impact on economic and social development, have frequently occurred in cities. As one of these devastating disasters, earthquakes can severely damage the achievements of urban development and impact the sustainable development of cities. To prepare for potential large earthquakes in the future, efficient evacuation plans need to be developed to enhance evacuation efficiency and minimize casualties. Most previous research focuses on minimization of distance or cost while ignoring risk factors. We propose a multi-objective optimization model with the goal of reducing the risk during the evacuation process, which is called the risk reduction model (RRM). Problem-specific indicators for screening optimal solutions are introduced. The research selects the Ogu area in Tokyo as a case study, where there is a relatively high density of wooden structures, increasing the risks of building collapse and fire spread after an earthquake, and is based on a two-phase evacuation flow that considers secondary evacuation for fire response. The results indicate that, in this case, RRM can, in most situations, reduce the risk level during the evacuation process and improve evacuation efficiency and success rate without significantly increasing the total evacuation distance. It proves to be superior to the traditional distance minimization model (DMM), which prioritizes minimizing the total distance as the objective function.

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Section: Discussionmentioning

confidence: 99%