Evolving base for the fuel consumption optimization in Indian air transport: application of structural equation modeling
Open accessAbstract
The article aims to evolve the base for fuel consumption optimization (FCO) in Indian air transport industry. The objective of this paper is to design the methodology and to develop five facet model of fuel consumption optimization (FCO). Limited researches have been conducted to explore influencing factors for FCO in air transport industry. To fill this gap, this study proposes the model of FCO, and investigates key factors affecting FCO. The research steps included exploratory factor analysis, confirmatory factor analysis, and testing of structural model. In the first stage exploratory factor analysis (EFA) was used to provide the grouping of variables underline the complete set of item based upon the strong correlation. In the second stage, a confirmatory factor analysis (CFA) was used to specify and estimate of one or more hypothetical models of factor structure, each of which propose a set of latent variables to account for covariance within a set of observed variables. In the third stage, we used the Structural Equation Modeling (SEM) technique and empirically tested the relationships between fuel consumption optimization and aircraft operations (AO), aircraft technology & design (ATD), social-economic & political (SEP), aviation infrastructural (AI), and alternate fuels & fuel properties (AFP). The results and applications of structural equation modeling (SEM) evolve variety of findings. (1) Aircraft operations (AO), aircraft technology & design (ATD), socio-economic & political issues (SEP), aviation infrastructure (AI), and alternative fuels & fuel properties (AFP) are proved to be the five key influence factors with respect to the Indian context and have positive effect on FCO. (2) Among the five influence factors for FCO, aircraft technology & design exhibits the strongest effect on FCO, followed by aircraft operation, alternative fuels & fuel properties, socio-economic & political, and aviation infrastructure. (3) The highest squared correlation was observed between aircraft technology & design and aircraft operations. This study has provided empirical justification for the proposed research framework which describes the relationships between FCO and its dimensions. This has developed an integrated model of FCO, with the purposes of identifying the key factors affecting the FCO. The knowledge of relationship among variables can lead to frame objective function, constraints, and set of equations pertaining situations with regard to Indian scenario. To constitute the equations the data of identified critical factors with regard to Indian scenario can be utilized which will lead to develop optimization based model for fuel consumption that leaves the scope for further study. This study produces the results which represent the base for optimum solution of fuel consumption on which future researchers can target.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Fuel flow (FF) has not been fully addressed in the literature, which raises the value of the current study.
“Despite earlier studies (e.g., [2,3]) that connected fuel consumption optimization with several factors, FF has not between fully addressed in the literature, which raises the value of the current study.”
From Factors Affecting the Rate of Fuel Consumption in Aircrafts (2021) · cites this paper as [2]
Literature reports two empirical statistical analyses in which fuel consumption models are tested for their reliability and validity.
“Literature reports the two empirical statistical analyses [18,126], in which fuel consumption models are tested for their reliability and validity.”
From Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications (2015) · cites this paper as [18]
Cites
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549 · see citing works
Scale Development Research: A Content Analysis and Recommendations for Best Practices
Worthington, R. L., & Whittaker, T. A. (2006) · The Counseling Psychologist · doi:10.1177/0011000006288127 · Cited by 4,087 · see citing works
Can we accelerate the improvement of energy efficiency in aircraft systems?
Lee, J. J. (2010) · Energy Conversion and Management · doi:10.1016/j.enconman.2009.09.011 · Cited by 111 · see citing works
The potential of turboprops for reducing aviation fuel consumption
Ryerson, M. S., & Hansen, M. (2010) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2010.03.003 · Cited by 63 · see citing works
The potential for reducing the impact of aviation on climate
Green, J. E. (2009) · Technology Analysis & Strategic Management · doi:10.1080/09537320802557269 · Cited by 39 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Singh, V., & Sharma, S. K. (2015) · European Transport Research Review · doi:10.1007/s12544-015-0160-x · Cited by 95 · see citing works
Self-citationFactors Affecting the Rate of Fuel Consumption in Aircrafts
Hassan, T. H., Sobaih, A. E. E., & Salem, A. E. (2021) · Sustainability · doi:10.3390/su13148066 · Cited by 26 · see citing works
“, [2,3]) that connected fuel consumption optimization with several factors, FF has not between fully addressed in the literature, which raises the value of the current study.”
Background
- Authors
- Singh, V., & Sharma, S. K.
- Affiliations
- National Institute of Technology Hamirpur (BD)
- Venue
- European Transport Research Review
- Published
- 2014-02-20
- Volume
- 6
- Issue
- 3
- Pages
- 315-332
- ISSN
- 1866-8887 (ISSN-L)
- 1867-0717
- OpenAlex
- W2107781142
- Cited by
- 32
- References
- 5
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 3 · 2018: 5 · 2017: 2 · 2016: 4 · 2015: 2
- FWCI
- 2.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- European Transport Research Review (publishedVersion, cc-by)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Advanced Aircraft Design and Technologies
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
- Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
- Keywords
- fuel consumption reduction, airline industry, flight operations, aviation infrastructure, alternative fuels, Indian aviation industry, influencing factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review