Time to burn: Flight delay, terminal efficiency, and fuel consumption in the National Airspace System

Ryerson, Megan S.; Hansen, Mark; Bonn, James

doi:10.1016/j.tra.2014.08.024

Cited by 43 publications

(33 citation statements)

References 6 publications

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“…Air Traffic Management (ATM) plays an important role in reducing the environmental impacts of air transportation by reducing the inefficiencies during the operations of an aircraft [110]. Ryerson et al [111] analyzed the possible fuel savings from Air Traffic Management (ATM) improvements and the study explored the impact of the airborne delay, departure delay, and excess planned flight time, and terminal efficiency in fuel consumption using econometric techniques. In addition the better terminal design can also reduce the fuel consumption.…”

Section: Aviation Operations and Infrastructurementioning

confidence: 99%

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Singh

Sharma

2015

Eur. Transp. Res. Rev.

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Objective This paper presents a review, classification schemes, critique, a simple meta-analysis and future research implication of fuel consumption optimization (FCO) literature in the air transport sector. This review is based on 277 articles published in various publication outlets between 1973 and 2014. Methodology A review of 277 articles related to the FCO in air transport was carried out. It provides an academic database of literature between the periods of 1973-2014 covering 69 journals and proposes a classification scheme to classify the articles. Twelve hundred of articles were identified and reviewed for their direct relevance to the FCO in air transport. Two hundred seventy seven articles were subsequently selected, reviewed and classified. Each of the 277 selected articles was categorized on four FCO dimensions (Aircraft technology & design, aviation operations & infrastructure, socioeconomic & policy measures, and alternate fuels & fuel properties). The articles were further classified into six categories of FCO research methodologies (analytical -conceptual, mathematical, statistical, and empirical-experimental, statistical, and case studies) and optimization techniques (linear programming, mixed integer programming, dynamic programming, gradient based algorithms, simulation modeling, and nature based algorithms). In addition, a simple meta-analysis was also carried out to enhance understanding of the development and evolution of research in the FCO. Findings and conclusions This has resulted in the identification of 277 articles from 69 journals by year of publication, journal, and topic area based on the two classification schemes related to FCO research, published between, 1973 to December-2014. In addition, the study has identified the 4 dimensions and 98 decision variables affecting the fuel consumption. Also, this study has explained the six categories of FCO research methodologies (analytical -conceptual, mathematical, statistical, and empirical-experimental, statistical, and case studies) and optimization techniques (linear programming, mixed integer programming, dynamic programming, gradient based algorithms, simulation modeling, and nature based algorithms). The findings of this study indicate that the analytical-mathematical research methodologies represent the 47 % of FCO research. The results show that there is an increasing trend in research of the FCO. It is observed that the number of published articles between the period 1973 and 2000 is less (90 articles), so we can say that there are 187 articles which appeared in various journals and other publication sources in the area of FCO since 2000. Furthermore there is increased trend in research on FCO from 2000 onward. This is due to the fact that continuously new researchers are commencing their research activities in FCO research. This shows clearly that FCO research is a current research area among many research groups across the world. Lastly, the prices of jet fuel have significantly increased since the 2005. The aviatio...

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Section: Aviation Operations and Infrastructurementioning

confidence: 99%

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Singh

Sharma

2015

Eur. Transp. Res. Rev.

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“…Air transport emission can be reduced with increased payload (reduce the number of empty seats flown) while optimizing the flight frequencies. Also, optimized aircraft speed [5], has also improved the fuel efficiency of airliners [4,65]. Optimum values of takeoff filed length, and landing filed length also affects positively the fuel efficiency.…”

Section: Aviation Operationsmentioning

confidence: 99%

“…The relationships between operational efficiency and efficiency are expressed by payload fuel efficiency equation [21,32]. Therefore, aircraft operational efficiency were measured in terms of parameters such as aircraft range [4,51], fuel weight, reserve fuel weight, payload, aircraft speed, crew weight, takeoff filed length, and landing filed length ( [2,4,5,27,29,65]). Aircraft range is the total distance that an aircraft can fly with full fuel tank.…”

Section: Aviation Operationsmentioning

confidence: 99%

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

Singh¹,

Sharma

2016

Eur. Transp. Res. Rev.

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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. ConclusionsThe findings of this research can provide air transport valuable information for designing appropriate strategy for fuel efficiency improvement.

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“…[4] concluded in their study that unexpected flight delays could result in a larger amount of fuel burnt. Another study showed that airlines tend to increase airfare in order to cover the extra cost of fuel, manpower and other resources [5].…”

Section: Introductionmentioning

confidence: 99%

A study of the relationship between adverse weather conditions and flight delay

2016

J. adv. ethnol. eng. res.

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Abstract-Previous studies have indicated the possibility of a relationship between adverse weather conditions and flight delays. Various methods had been employed to determine the effect of adverse weather conditions on flight delays, such as the directed acyclic graph and Autoregressive Integrated Moving Average (ARIMA) model [4], [5]. In this case study for Singapore, linear and square root regression methods were used as a preliminary step to determine and understand this relationship which had not been done before. The SAAM software from EUROCONTROL was also used to illustrate the effect of weather on flights. By the comparison of the R squared values obtained, it was determined that the square root model was better for representing the relationship between adverse weather conditions and flight delays. The models and results from this case study could be applied to modelling and optimization studies of airports and airspace on a macroscopic level in Singapore or the other nations in Southeast Asia which have similar climate, as well as other areas such as forecasting and sectorization. Future research could also be done using more advanced methodologies or models.

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Time to burn: Flight delay, terminal efficiency, and fuel consumption in the National Airspace System

Cited by 43 publications

References 6 publications

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

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

A study of the relationship between adverse weather conditions and flight delay

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