2011
DOI: 10.1016/j.enpol.2011.05.049
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Forecasting world and regional aviation jet fuel demands to the mid-term (2025)

Abstract: This article provides jet fuel demand projections at the worldwide level and for eight geographical zones until 2025. Air traffic forecasts are performed using dynamic panel-data econometrics. Then, the conversion of air traffic projections into quantities of jet fuel is accomplished by using a complementary approach to the 'Traffic Efficiency' method developed previously by the UK Department of Trade and Industry to support the Intergovernmental Panel on Climate Change (IPCC, 1999). According to our main scen… Show more

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Cited by 81 publications
(34 citation statements)
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References 47 publications
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“…Usually this approach analyzes dynamics of the GDP petroleum intensity. For example, jet fuel demand could be forecasted as a function of the cargo carriage volume, which is in its turn related to GDP dynamics (Cheze et al, 2011). (Cheze et al, 2011), may be analyzed.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Usually this approach analyzes dynamics of the GDP petroleum intensity. For example, jet fuel demand could be forecasted as a function of the cargo carriage volume, which is in its turn related to GDP dynamics (Cheze et al, 2011). (Cheze et al, 2011), may be analyzed.…”
Section: Methodsmentioning
confidence: 99%
“…For example, jet fuel demand could be forecasted as a function of the cargo carriage volume, which is in its turn related to GDP dynamics (Cheze et al, 2011). (Cheze et al, 2011), may be analyzed. A key disadvantage of this approach is that it does not account for changes in technological development and consumer preferences.…”
Section: Methodsmentioning
confidence: 99%
“…The unscheduled departures were extracted and the flight trajectories were optimised for least fuel burn in the APMI, so the mission fuel burn estimate in this study is found to be 18% [30], and Chèze et al [32], respectively because of the lower fuel burn, and slightly (5%) higher EI SO x (0.84 g/kg in this study vs 0.8 g/kg in Kim et al [29]) used in the calculation. The estimates of the emissions of CO, HC, and NO x are found to be higher in this work compared with those in Simone et al [33], by 4%, 40%, and 26%, respectively, in Kim et al [29], by 42%, 300%, and 17%, respectively, in Wilkerson et al [30], by 9%, 140%, and 30%, respectively, and in Chèze et al [32], by 7%, 133%, and 19%, respectively.…”
Section: Global Totalsmentioning
confidence: 99%
“…The inventories make up the backbone of these assessments. To date, only a limited number of such inventories [8,[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] have been produced. Most of the aircraft fuel burn and emissions inventories that were produced in the last two decades cover a handful of years only and few have been able to analyse the trends over a significant number of years.…”
Section: Introductionmentioning
confidence: 99%
“…With respect to analysis methods, there are many scholars who have made very valuable contributions to the evolution, perfection and choice of energy demand forecast models [16][17][18][19][20][21]. As for specific practical analysis, Cheze et al [22] forecasted the energy demand of fuel oil for air transportation by 2025 through scenario design with dynamic panel data from both the global and eight geographic area levels and their results reveal that during the period from 2008-2025, the total amount of air transportation will increase by 100% with an annual average growth rate of 4.7%; then, the expected demand for fuel oil in the world will increase by 38% approximately, with an annual average growth rate of 1.9%. Besides, the leading forces that have an effect on the total growth of air transportation come mainly from global economic growth, whereas technology improvement appears to be the primary way to mitigate the increased demand for fuel oil in air transportation, but it appears that.…”
Section: Literature Reviewmentioning
confidence: 99%