Impact of service network topology on air transportation efficiency

Kotegawa, Tatsuya; Fry, Donald N.; DeLaurentis, Daniel A.; Puchaty, Ethan

doi:10.1016/j.trc.2013.11.016

Cited by 26 publications

(8 citation statements)

References 23 publications

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“…The study of transport efficiency first emerged in the mid-to-late 1970s and mainly focused on Western countries [4,5]. To date, scholars have achieved rich results in studies on transport efficiency [6][7][8][9][10], and the current studies tend to be conducted from two research perspectives. The first is the study of the technical efficiency of different transport modes.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Transport Efficiency and Its Spatial Convergence in China’s Provinces: A Super-SBM DEA Model Considering Undesirable Outputs

Ma¹,

Wang²,

Sun³

et al. 2018

Applied Sciences

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Undesirable outputs, such as carbon emissions and loss of property due to traffic accidents, hold great significance for the sustainable development of the transport industry. In this study, we applied a super-efficiency data envelopment analysis model with a slack-based measure (Super-SBM DEA) considering undesirable outputs to measure the integrated transport efficiency (ITE) of 31 provinces in China during the period of 2009–2016. Following this, we used a spatial autocorrelation model to test and verify the spatial autocorrelation of the ITEs at the level of the 31 provinces, and further to explore the aggregating features. Finally, considering the spatial effects that emerged, we constructed a β-convergence model to analyze the convergence characteristics of China’s ITEs and investigate its conditional factors. The research results show that the average ITE demonstrated a linear growth trend; the effective decision-making units (the ITE value was greater than 1) are only 11 provinces, accounting for about 35% by 2016. The mean of ITEs was also found to present a law of decreasing order of Eastern, Central and Western Zones. However, the Central Zone and Western Zone have a better efficiency improvement trend compared to the Eastern Zone. The Moran’s I index was bigger than zero, indicating that the ITEs formed a spatial autocorrelation phenomenon. The Moran scatter plots further showed that the provincial ITEs mainly followed the patterns of high–high, high–low and low–low aggregation. The ITE of the 31 provinces was found to have a clear absolute β-convergence and conditional β-convergence characteristics. Moreover, the level of economic development, household per capita traffic consumption, transport industry scale, technology advancement and transport intensity were all seen to have an important impact on the convergence of integrated transport efficiency. It is hoped that the findings of this study may contribute further insights and practical knowledge to effectively measuring the development level of China’s integrated transport efficiency, and to understanding future changes in the ITE gap among Chinese provinces.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated Transport Efficiency and Its Spatial Convergence in China’s Provinces: A Super-SBM DEA Model Considering Undesirable Outputs

Ma¹,

Wang²,

Sun³

et al. 2018

Applied Sciences

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“…The impact of service network topology on air transportation efficiency is discussed in Kotegawa et al (2014).…”

Section: Rail Transportationmentioning

confidence: 99%

Energy Efficiency: Comparison of Different Systems and Technologies

Lackner

2020

Handbook of Climate Change Mitigation and Adaptation

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The efficient use of energy, or energy efficiency, has been widely recognized as an ample and costefficient means to save energy and to reduce greenhouse gas emissions. Up to 1/3 of the worldwide energy demand in 2050 can be saved by energy efficiency measures. In this chapter, several important aspects of energy efficiency are addressed. After an introduction and definition of energy efficiency, historic development and state-of-the-art and future trends of energy efficiency are presented in the light of life cycle assessment and total cost of ownership considerations. Energy efficiency in the sectors energy production, energy transmission and storage, transportation, industry, buildings, and appliances is reviewed. Concurrent measures such as recycling or novel materials are also discussed and touched upon. Energy conservation is covered in the final section of this chapter. References for deeper study are provided with an emphasis on guidelines on how to improve energy efficiency. Given the breadth of the subject, only exemplary coverage can be aimed for. The purpose of this chapter is to highlight the significance of energy efficiency and to provide cross-learnings from achievements in different sectors so that energy efficiency in the readers' own facilities and installations can be assessed and improved with cost-effective means as a contribution to climate change mitigation, cost savings, and improved economic competitiveness.

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“…Essentially, the network growth mechanism was understood through investigation of prediction accuracy and attempts to improve the performance of the prediction method. Furthermore, this work indicated that the scale-free network structure is important for aviation transportation efficiency [13]. Additionally, it was determined that when the ratio between the sum of degrees in the actual network structure and the sum of degrees in the same size (node number) of complete graph is high, the actual network more closely approaches the random graph and the more robust the network becomes.…”

Section: Introductionmentioning

confidence: 95%

A Basic Study of the Forecast of Air Transportation Networks Using Different Forecasting Methods

Osawa¹,

Shirayama²

2017

JDAIP

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This research applies network structuring theories to the aviation domain and predicts aviation network growth, considering a flight connection between airports as a link between nodes. Our link prediction approach is based on network structure information, and to improve prediction accuracy, it is necessary to estimate the mechanism of aviation network growth. This research critically evaluates the prediction accuracy of two methods: the receiver operating characteristic curve method (ROC) and the logistic regression method. We propose a four-step method to evaluate the relative predictive accuracy among different link prediction methods. A case study of US aviation networks indicated that the ROC method provided better prediction accuracy compared with the logistic regression method. This result suggests that tuning of the prediction distribution and the regression model coefficients can further improve the accuracy of the logistic regression method.

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Impact of service network topology on air transportation efficiency

Cited by 26 publications

References 23 publications

Integrated Transport Efficiency and Its Spatial Convergence in China’s Provinces: A Super-SBM DEA Model Considering Undesirable Outputs

Integrated Transport Efficiency and Its Spatial Convergence in China’s Provinces: A Super-SBM DEA Model Considering Undesirable Outputs

Energy Efficiency: Comparison of Different Systems and Technologies

A Basic Study of the Forecast of Air Transportation Networks Using Different Forecasting Methods

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