Forthcoming and Online First 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 Articles will not be published until the final proofs are validated by their authors.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 (3 papers in press)

Regular Issues

  • Heuristic methods for integrated incremental schedule design and fleet assignment problem for hub and spoke network   Order a copy of this article
    by Melis Tan Tacoglu, M. Arslan Ornek, Yigit Kazancoglu 
    Abstract: Managing airline inbound and outbound schedules among passenger demand and aircraft utility complexity are addressed through three proposed heuristic methods for integrated schedule design and fleet assignment problem (ISDFAP) in single-hub, two-flight leg hub-and-spoke networks. The second heuristic, considering waiting time and available seat capacity, contrasts with the first, focusing only on waiting time for passenger-flight assignments. Meanwhile, the third heuristic considers aircraft buffer time and stay time restrictions at the destination. Comparing the first two heuristics reveals that considering seat availability doesn’t reduce waiting time. Flight departure time adjustments and overall timetable changes depend significantly on buffer time and wait time criteria.
    Keywords: hub and spoke network; flight scheduling; schedule design; transit passenger; wait time.

  • Role of agility, adaptability and alignment on green supply chain management practices: a case of aviation industry of Pakistan   Order a copy of this article
    by Sonia Nazeer, Hassan Mujtaba Nawaz Saleem 
    Abstract: The urgency for sustainable practices is highly important for the aviation industry as it is one of the most environmentally damaging sectors and contributing almost 4% into the global greenhouse gas emissions. The present study examines that how Triple-A (agility, adaptability and alignment) influences GSCM practices in Pakistan’s aviation industry. A sample of 163 participants was drawn from various division of the aviation sector and data is analysed using SmartPls. The results showed a significant relationships between agility; adaptability; alignment; and GSCM practices. Notably, adaptability surfaces as a major driver underlining the importance of flexibility in adopting eco-friendly methods. The theoretical implications of this study are that it will enhance our knowledge on different dimensions related to GSCM while practical implications includes that it provides the basis for managers and policy makers to take the strategic decisions.
    Keywords: aviation management; air transport management; air logistics; triple-A capability; green supply chain management; GSCM practices; Pakistan.

  • Non-discretionary output oriented data envelopment analysis for ranking airports: an Indian case study   Order a copy of this article
    by Sudhakar Piratla, Binod Kumar Singh 
    Abstract: Understanding and enhancing airport efficiency is crucial due to the unprecedented growth of air travel and the critical role of airports. In this investigation, 39 airports spanning 21 states in India were scrutinised over a decade. Comprehensive data on eight inputs - number of cities connected, aircraft parking bays, land lease area, floor lease area, employees, runway length, operation hours, and expenditure - were compiled alongside five output variables land lease revenue, non-aeronautical revenue, aircraft, passengers, and freight. The analysis employed an output-oriented, non-discretionary BCC DEA model to rank airports based on their efficiency. Results revealed that ten out of the 39 airports consistently maintained a perfect efficiency score of 1.00 over the ten years, while the efficiency status of the remaining airports exhibited variability. The ten-year average data indicated potential increases in output quantities for land lease revenue, non-aeronautical revenue, aircraft, passengers, and freight for approximately ten airports categorised as inefficient.
    Keywords: airports; efficiency; non-discretionary and discretionary inputs; outputs; data envelopment analysis; BCC DEA model; optimisation.