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Evaluation of Technology-Supported Distance Measuring to Ensure Safe Aircraft Boarding during COVID-19 Pandemic

Author

Listed:
  • Paul Schwarzbach

    (Institute of Traffic Telematics, Dresden University of Technology, 01069 Dresden, Germany)

  • Julia Engelbrecht

    (Institute of Traffic Telematics, Dresden University of Technology, 01069 Dresden, Germany)

  • Albrecht Michler

    (Institute of Traffic Telematics, Dresden University of Technology, 01069 Dresden, Germany)

  • Michael Schultz

    (Institute of Logistics and Aviation, Dresden University of Technology, 01069 Dresden, Germany)

  • Oliver Michler

    (Institute of Traffic Telematics, Dresden University of Technology, 01069 Dresden, Germany)

Abstract

With the rise of COVID-19, the sustainability of air transport is a major challenge, as there is limited space in aircraft cabins, resulting in a higher risk of virus transmission. In order to detect possible chains of infection, technology-supported apps are used for social distancing. These COVID-19 applications are based on the display of the received signal strength for distance estimation, which is strongly influenced by the spreading environment due to the signal multipath reception. Therefore, we evaluate the applicability of technology-based social distancing methods in an aircraft cabin environment using a radio propagation simulation based on a three-dimensional aircraft model. We demonstrate the susceptibility to errors of the conventional COVID-19 distance estimation, which can lead to large errors in the determination of distances and to the impracticability of traditional tracing approaches during passenger boarding/deboarding. In the context of the future connected cabin, a robust distance measurement must be implemented to ensure safe travel. Finally, our results can be transferred to similar fields of application, e.g., trains or public transport.

Suggested Citation

  • Paul Schwarzbach & Julia Engelbrecht & Albrecht Michler & Michael Schultz & Oliver Michler, 2020. "Evaluation of Technology-Supported Distance Measuring to Ensure Safe Aircraft Boarding during COVID-19 Pandemic," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8724-:d:432249
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    References listed on IDEAS

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    1. Michael Schultz & Jörg Fuchte, 2020. "Evaluation of Aircraft Boarding Scenarios Considering Reduced Transmissions Risks," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    2. Kierzkowski, Artur & Kisiel, Tomasz, 2020. "Simulation model of security control lane operation in the state of the COVID-19 epidemic," Journal of Air Transport Management, Elsevier, vol. 88(C).
    3. Schultz, Michael & Evler, Jan & Asadi, Ehsan & Preis, Henning & Fricke, Hartmut & Wu, Cheng-Lung, 2020. "Future aircraft turnaround operations considering post-pandemic requirements," Journal of Air Transport Management, Elsevier, vol. 89(C).
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    6. Salari, Mostafa & Milne, R. John & Delcea, Camelia & Kattan, Lina & Cotfas, Liviu-Adrian, 2020. "Social distancing in airplane seat assignments," Journal of Air Transport Management, Elsevier, vol. 89(C).
    7. Jaehyung An & Alexey Mikhaylov & Nikita Moiseev, 2019. "Oil Price Predictors: Machine Learning Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 1-6.
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    Cited by:

    1. Lázaro Florido-Benítez, 2022. "The Safety-Hygiene Air Corridor between UK and Spain Will Coexist with COVID-19," Logistics, MDPI, vol. 6(3), pages 1-22, July.
    2. Schultz, Michael & Soolaki, Majid & Salari, Mostafa & Bakhshian, Elnaz, 2023. "A combined optimization–simulation approach for modified outside-in boarding under COVID-19 regulations including limited baggage compartment capacities," Journal of Air Transport Management, Elsevier, vol. 106(C).
    3. Sun, Xiaoqian & Wandelt, Sebastian & Zheng, Changhong & Zhang, Anming, 2021. "COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane," Journal of Air Transport Management, Elsevier, vol. 94(C).
    4. Sallar Salam Murad & Salman Yussof & Rozin Badeel & Wahidah Hashim, 2023. "A Novel Social Distancing Approach for Limiting the Number of Vehicles in Smart Buildings Using LiFi Hybrid-Network," IJERPH, MDPI, vol. 20(4), pages 1-30, February.

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