Forthcoming Articles

International Journal of Sustainable Aviation

International Journal of Sustainable Aviation (IJSA)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Sustainable Aviation (2 papers in press)

Regular Issues

  • Centralised cooperative UAV navigation in GPS-denied environments   Order a copy of this article
    by Mehmet Asim Gökçay, Chingiz Hajiyev 
    Abstract: Global navigation satellite systems (GNSS) are critical for both military and civil aviation, yet their susceptibility to jamming and spoofing poses significant threats to reliable navigation. This paper explores and quantitatively evaluates a centralised error-state Kalman filter (EKF) approach using range-only inter-UAV measurements for cooperative navigation of unmanned aerial vehicle (UAV) fleets operating in GPS-denied environments. The centralised ES-EKF leverages inter-UAV correlations by aggregating data from all UAVs in a central unit, enabling accurate state estimation even when multiple UAVs lose GPS access. Through simulations involving six UAVs with systematically varied GPS availability (from three down to a single GPS-enabled UAV), we demonstrate that the centralised ES-EKF significantly reduces navigation uncertainty and maintains mission integrity by utilising collaborative measurements. Scenarios where up to five UAVs experience GPS jamming illustrate the algorithms capability to sustain accurate positioning through cooperative data fusion, provided at least one UAV retains GPS functionality. This analysis provides clear performance benchmarks for such a configuration. While centralised ES-EKF offers superior performance in capturing inter-agent correlations, it also presents challenges related to computational load, scalability, and communication reliability in large networks. Therefore, this study established a baseline for future decentralised localisation works.
    Keywords: centralised cooperative navigation; GPS-denied environments; unmanned aerial vehicles; UAVs; error-state Kalman filter; ES-EKF; range-only measurements; state estimation; sensor fusion; global positioning system; GPS.
    DOI: 10.1504/IJSA.2025.10073256
     
  • Voluntary carbon offsetting under the lens of the norm activation model: airline passenger perspectives   Order a copy of this article
    by Phutawan Ho Wongyai, Teeris Thepchalerm, Thanh Ngo 
    Abstract: This study adopted the norm activation model (NAM) to investigate the factors influencing air passengers intentions to purchase the airlines voluntary carbon offsetting (VCO) products. This study explores the role of subjective norms, perceived consumer effectiveness, and serial mediation of the NAMs mechanism, which receives less attention in aviation studies. To do that, 410 airline passengers were surveyed, and structural equation modelling (SEM) was utilised to analyse the activation mechanism between various NAM factors. The findings supported all hypotheses initially posited by the NAM, including the significant impact of subjective norms and perceived consumer effectiveness on VOC purchase intention. Importantly, the study found that subjective norms are critical in shaping personal norms. Moreover, by testing serial mediation, this study supports the norm activation mechanism proposed by the original NAM. Such findings are important to airline managers in setting their VCO policies and providing insights for the passengers regarding future travels.
    Keywords: voluntary carbon offsetting; VCO; airline passenger; norm activation model; NAM; climate change; travel; structural equation modelling; SEM.
    DOI: 10.1504/IJSA.2025.10073379
     

 

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