Analyzing the moderating effects of respondent type and experience on the fuel efficiency improvement in air transport using structural equation modeling

Introduction The limited nature of oil, and hence aviation fuel is increasingly becoming a restraining factor for the air transport industry. Also, fuel efficiency is crucial for commercial air transport as fuel is one of the most costly operating parameters for an airline. Methodology This study em...

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Bibliographic Details
Published in:European transport research review 2016-06, Vol.8 (2), p.1-20, Article 12
Main Authors: Singh, Vedant, Sharma, Somesh K.
Format: Article
Language:English
Subjects:
Air transportation
Aircraft components
Aircraft design
Aircraft industry
Airlines
Alternative fuels
Automotive Engineering
Aviation
Aviation fuel
Civil Engineering
Commercial aircraft
Correlation analysis
Energy efficiency
Engineering
Fuel consumption
Fuel economy
Infrastructure
Mathematical models
Original Paper
Regional/Spatial Science
Structural equation modeling
Transportation
Transportation research
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Summary:Introduction The limited nature of oil, and hence aviation fuel is increasingly becoming a restraining factor for the air transport industry. Also, fuel efficiency is crucial for commercial air transport as fuel is one of the most costly operating parameters for an airline. Methodology This study employs structural equation modelling (SEM) approach to identify key dimensions influencing fuel efficiency in air transport (FEAT) and to explore the correlational relationships among constructs from the perspectives of fuel efficiency improvement. Self-administered questionnaires were used to collect data from 375 aviation experts. Correlation, multi-group moderation analysis, and interaction using structural equation model were used to analyses these data. Results The results and applications of SEM evolve a variety of findings; aircraft technology & design, aviation operations infrastructure, socioeconomic & political measures, and alternative fuels & fuel properties, and aviation infrastructure are proved to be the five key influential dimensions affecting the fuel efficiency and have a positive effect on the FEAT. In addition, the moderating effect of industry type and experience were established. The results also showed that no significant interaction effect between dimensions of FEAT. Conclusions The findings of this research can provide air transport valuable information for designing appropriate strategy for fuel efficiency improvement.
ISSN:1867-0717
1866-8887
DOI:10.1007/s12544-016-0199-3