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Toward Baggage-Free Airport Terminals: A Case Study of London City Airport

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  • Yirui Jiang

    (School of Water, Energy and Environment, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Runjin Yang

    (School of Water, Energy and Environment, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Chenxi Zang

    (School of Water, Energy and Environment, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Zhiyuan Wei

    (School of Water, Energy and Environment, Cranfield University, Bedfordshire MK43 0AL, UK)

  • John Thompson

    (School of Water, Energy and Environment, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Trung Hieu Tran

    (School of Water, Energy and Environment, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Adriana Encinas-Oropesa

    (School of Water, Energy and Environment, Cranfield University, Bedfordshire MK43 0AL, UK)

  • Leon Williams

    (School of Water, Energy and Environment, Cranfield University, Bedfordshire MK43 0AL, UK)

Abstract

Nowadays, the aviation industry pays more attention to emission reduction toward the net-zero carbon goals. However, the volume of global passengers and baggage is exponentially increasing, which leads to challenges for sustainable airports. A baggage-free airport terminal is considered a potential solution in solving this issue. Removing the baggage operation away from the passenger terminals will reduce workload for airport operators and promote passengers to use public transport to airport terminals. As a result, it will bring a significant impact on energy and the environment, leading to a reduction of fuel consumption and mitigation of carbon emission. This paper studies a baggage collection network design problem using vehicle routing strategies and augmented reality for baggage-free airport terminals. We use a spreadsheet solver tool, based on the integration of the modified Clark and Wright savings heuristic and density-based clustering algorithm, for optimizing the location of logistic hubs and planning the vehicle routes for baggage collection. This tool is applied for the case study at London City Airport to analyze the impacts of the strategies on carbon emission quantitatively. The result indicates that the proposed baggage collection network can significantly reduce 290.10 tonnes of carbon emissions annually.

Suggested Citation

  • Yirui Jiang & Runjin Yang & Chenxi Zang & Zhiyuan Wei & John Thompson & Trung Hieu Tran & Adriana Encinas-Oropesa & Leon Williams, 2021. "Toward Baggage-Free Airport Terminals: A Case Study of London City Airport," Sustainability, MDPI, vol. 14(1), pages 1-24, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2021:i:1:p:212-:d:711399
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    References listed on IDEAS

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    1. J C S Brandão & A Mercer, 1998. "The multi-trip vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 49(8), pages 799-805, August.
    2. Brian Kallehauge & Jesper Larsen & Oli B.G. Madsen & Marius M. Solomon, 2005. "Vehicle Routing Problem with Time Windows," Springer Books, in: Guy Desaulniers & Jacques Desrosiers & Marius M. Solomon (ed.), Column Generation, chapter 0, pages 67-98, Springer.
    3. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    4. Erdoğan, Sevgi & Miller-Hooks, Elise, 2012. "A Green Vehicle Routing Problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 100-114.
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    Cited by:

    1. Jiang, Yirui & Tran, Trung Hieu & Williams, Leon, 2023. "Machine learning and mixed reality for smart aviation: Applications and challenges," Journal of Air Transport Management, Elsevier, vol. 111(C).

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