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Determining the Number of Passengers for Each of Three Reverse Pyramid Boarding Groups with COVID-19 Flying Restrictions

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TLDR
This work used agent-based modeling and a stochastic simulation to evaluate solutions and determined the number of passengers to include in each of three boarding groups based upon the airline’s relative preference for minimizing average boarding time and minimizing risks to previously seated passengers from later-boarding.
Abstract
The onset of the novel coronavirus SARS-CoV2 has changed many aspects of people’s economic and social activities. For many airlines, social distancing has reduced airplane capacity by one third as a result of keeping the middle seats empty. Additionally, social distancing between passengers traversing the aisle slows the boarding process. Recent literature has suggested that the reverse pyramid boarding method provides favorable values for boarding time and passenger health metrics when compared to other boarding methods with social distancing. Assuming reverse pyramid boarding with the middle seats unoccupied, we determined the number of passengers to include in each of three boarding groups. We assumed that passengers use a jet-bridge that connects the airport terminal to the airplane’s front door. We used agent-based modeling and a stochastic simulation to evaluate solutions. A full grid search found an initial good solution, and then local search optimization determined the best solution based upon the airline’s relative preference for minimizing average boarding time and minimizing risks to previously seated passengers from later-boarding, potentially contagious passengers breathing near them. The resulting solution contained the number of passengers to place into each of the three boarding groups. If an airline is most concerned about the health risk to seated passengers from later boarding passengers walking near them, the best three-group reverse pyramid method adapted for social distancing will first board passengers with window seats in the rear half of the airplane, then will board passengers with window seats in the front half of the airplane and those with aisle seats in the rear half of the airplane, and finally will board the passengers with aisle seats in the front half of the airplane. The resulting solution takes about 2% longer to board than the three-group solution that minimizes boarding time while providing a 25% decrease in health risk to aisle seat passengers from later boarding passengers.

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Citations
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Journal ArticleDOI

Seat Assignments With Physical Distancing in Single-Destination Public Transit Settings

TL;DR: In this paper, a mixed-integer programming model is used to assign passengers to seats based on the reported configuration of the vehicle and desired physical distancing requirement, and a heuristic that allows for household grouping is presented.
Journal ArticleDOI

Using simulation modelling and systems science to help contain COVID‐19: A systematic review

TL;DR: In this article , the authors systematically review applications of three simulation approaches, that is, system dynamics model (SDM), agent-based model (ABM), and their hybrids in COVID•19 research and identify theoretical and application innovations in public health.
Journal ArticleDOI

Minimizing health risks as a function of the number of airplane boarding groups

TL;DR: This work determines the number of passengers to include in each boarding group when using the Reverse Pyramid method, and examines how the optimal performance varies with the volume of carry-on luggage, the social distance maintained between passengers walking down the aisle, and thenumber of boarding groups.
Journal ArticleDOI

An Agent-Based Simulation Model to Evaluate Contacts, Layout, and Policies in Entrance, Exit, and Seating in Indoor Activities Under a Pandemic Situation

TL;DR: In this article , an agent-based simulation model of pedestrian dynamics is proposed for classroom-type indoor spaces (e.g., classroom, auditorium, food court, and meeting room), which will help organizations such as universities to evaluate alternative policies (namely entrance and exit policy, seating policy, and room layout) concerning the contact-caused risk associated with activities in such places during a pandemic situation.
Journal ArticleDOI

An Investigation of Social Distancing and Quantity of Luggage Impacts on the Three Groups Reverse Pyramid Boarding Method

TL;DR: In this paper, the authors investigated the effect of different levels of social distancing among passengers and the quantity of carry-on luggage on the optimal number of passengers to board the airplane in each of three boarding groups when the reverse pyramid method is used and the middle seats are empty.
References
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Journal ArticleDOI

The effect of COVID-19 and subsequent social distancing on travel behavior

TL;DR: In this article, the authors discuss the potential implications of social distancing on daily travel patterns, i.e., reducing interactions between individuals in order to slow down the spread of the virus, has become the new norm.
Journal ArticleDOI

Modeling human decisions in coupled human and natural systems: Review of agent-based models

TL;DR: This paper concludes by advocating development of more process-based decision models as well as protocols or architectures that facilitate better modeling of human decisions in various CHANS.
Journal ArticleDOI

How simulation modelling can help reduce the impact of COVID-19

TL;DR: Challenges resulting from the COVID-19 pandemic are identified and how simulation modelling could help to support decision-makers in making the most informed decisions are discussed.
Journal ArticleDOI

A dynamic cellular automaton model for evacuation process with obstacles

TL;DR: A dynamic cellular automaton (CA) model is proposed to simulate the evacuation process in the rooms with obstacles, and effects of pedestrians distribution, doors position and doors width on the evacuation time are discussed.
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An agent-based model of a multimodal near-field tsunami evacuation: Decision-making and life safety

TL;DR: In this article, the authors present a multimodal evacuation simulation for a near-field tsunami through an agent-based modeling framework in Netlogo, and investigate how the varying decisn time impacts the mortality rate, how the choice of different modes of transportation (i.e., walking and automobile), and how existence of vertical evacuation gates impacts the estimation of casualties.