Abstract

The social distancing imposed by the novel coronavirus, SARS-CoV-2, has affected people’s everyday lives and has resulted in companies changing the way they conduct business. The airline industry has been continually adapting since the novel coronavirus appeared. A series of airlines have changed their airplane boarding and passenger seat allocation process to increase their passengers’ safety. Many suggest a minimum social distance among passengers in the aisle while boarding. Some airlines have reduced their airplanes’ capacities by keeping the middle seats empty. Recent literature indicates that the Reverse Pyramid boarding method provides favorable values for boarding time and passenger health metrics when compared to other boarding methods. This paper analyses the extent to which aisle social distancing, the quantity of carry-on luggage, and an airline’s relative preferences for different performance metrics influence 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. We also investigate the resulting impact on the average boarding time and health risks to boarding passengers. We use an agent-based model and stochastic simulation approach to evaluate various levels of aisle social distancing among passengers and the quantity of luggage carried aboard the airplane. When minimizing boarding time is the primary objective of an airline, for a given value of aisle social distance, decreasing the carry-on luggage volumes increases the optimal number of boarding group 1 passengers and decreases the optimal number of group 2 passengers with aisle seats; for a given volume of luggage, an increase in aisle social distance is associated with more passengers in group 1 and more aisle seat passengers in group 2. When minimizing the health risk to aisle seat passengers or to window seat passengers, the optimal solution results from assigning an equal number of window seat passengers to groups 1 and 2 and an equal number of aisle seat passengers to groups 2 and 3. This solution is robust to changes in luggage volume and the magnitude of aisle social distance. Furthermore, across all luggage and aisle social distancing scenarios, the solution reduces the health risk to aisle seat passengers between 22.76% and 35.31% while increasing average boarding time by less than 3% in each scenario.

Highlights

  • According to Powley et al [1], the aviation industry is facing the worst crisis in its 100-year history due to COVID-19

  • The survey respondents with a frequency >30% indicated that the following measures should be taken: screening all passengers for COVID-19 at departure (37%), mandatory wearing of masks in airplane and airports by passengers (34%), and social distancing on airplanes (33%)

  • As this paper studies how the different values for aisle social distance, luggage quantities, and performance metrics affect the performance of the Reverse Pyramid boarding method with three passenger groups, several scenarios are used for simulating the quantity of carry-on luggage the passengers bring inside the airplane

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Summary

Introduction

According to Powley et al [1], the aviation industry is facing the worst crisis in its 100-year history due to COVID-19. The present paper extends the work of Delcea et al [11] to analyze how different values of aisle social distancing and different volumes of carry-on luggage yield changes in the quantities of passengers to assign to each of the three Reverse Pyramid boarding groups and the resulting impact on performance. Based on this analysis, airlines can determine the number of passengers to include in each of the three Reverse Pyramid board-.

Assumptions for Passengers’ Social Distancing
Assumptions for Carry-on Luggage Quantities and Luggage Storage Times
Small Bag
Metrics
Agent-Based Model
Local Grid Search and Full Grid Search
Numerical Simulation—Scenarios and Results
C2 C3 C4
Simulation Results for C2
Simulation Results for C3
Concluding Remarks
Full Text
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