Future of Airline Hubbed Networks: Some Policy Implications

Ghobrial, Atef; Kanafani, Adib

doi:10.1061/(asce)0733-947x(1995)121:2(124)

Cited by 19 publications

(10 citation statements)

References 8 publications

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“…Our new method extended the measure proposed by Ghobrial and Kanafani (1995) and it is based on two different dimensions, first we measure the number of passengers which make some onward connection to get the final destination; and second we analyze how the passengers which connect are funnelled through the hubs of the network measuring the concentration of the hubbing and routing. Thus, we isolate the case in which an airline concentrate in a single airport a high share of passengers but it should not be considered as a "hub" but as a mere "technical base".…”

Section: The Hubbing-concentration Index (Hci)mentioning

confidence: 99%

“…For example, Saunders and Shepherd (1993); Borenstein (1992); Morrison and Winston (1995); Reynolds-Feighan (2000); Ghobrial and Kanafani (1995) and Alderighi et al 2007) have used different hubbing indexes to analyze the network configuration of airlines. Burghouwt and de Wit (2003) and Veldhuis (1997) complement the standard concentration indexes analyzing what they name as temporal connectivity indicators 1 .…”

mentioning

confidence: 99%

“…airlines or high-speed ferries.14 This measure to analyze hubbing behaviour of airlines was introduced byGhobrial and Kanafani (1995), but as we have previously mentioned the lack of adequate data has provoked that its use has not been frequent.13 To show (1), see examples of Appendix Basso and Jara-Diaz (2006). also show a problem like (1).…”

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confidence: 99%

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Theoretical Evidence of Existing Pitfalls in Measuring Hubbing Practices in Airline Networks

Martı́n

Voltes-Dorta

2007

Netw Spat Econ

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Section: The Hubbing-concentration Index (Hci)mentioning

confidence: 99%

mentioning

confidence: 99%

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Theoretical Evidence of Existing Pitfalls in Measuring Hubbing Practices in Airline Networks

Martı́n

Voltes-Dorta

2007

Netw Spat Econ

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“…The analysis is based on fixed hub locations. Ghobrial and Kanafani [7] propose some policies for airline systems. They emphasize that using a fewer number of hubs increases aircraft utilization and customer satisfaction, but at the same time, it causes congestion at the hubs.…”

Section: Introductionmentioning

confidence: 99%

A hub covering model for cargo delivery systems

2006

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The hub location problem appears in a variety of applications including airline systems, cargo delivery systems, and telecommunication network design. When we analyze the application areas separately, we observe that each area has its own characteristics. In this research we focus on cargo delivery systems. Our interviews with various cargo delivery firms operating in Turkey enabled us to determine the constraints, requirements, and criteria of the hub location problem specific to the cargo delivery sector. We present integer programming formulations and large-scale implementations of the models within Turkey. The results are compared with the current structure of a cargo delivery firm operating in Turkey.

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“…The independent variables include population, travel cost and time, and frequency of service. Ghobrial and Kanafani (1995) developed a hubbing model that estimates airport traffic in the context of a network. The model takes into consideration presence of competing airports in the region and congestion delay at the hub.…”

Section: Introductionmentioning

confidence: 99%

A model to forecast aircraft operations at general aviation airports

Ghobrial

1997

J of Advced Transportation

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Forecasting the demand for aviation activities is an important task in economic planning. Traditionally, forecasting the demand for general aviation airports has been done using trend and ratio analyses. Both techniques ignore the changes in many external factors that influence aviation activities. This paper develops an econometric model that relates the number of aircraft operations at a general aviation airport to some socioeconomic characteristics and supply variables. The model was estimated using data for 82 airports in the state of Georgia. The results of estimating the model suggest that the demand is inelastic with respect to total employment. The results also show that presence of aviation related services such as avionics, charter flights, rental, repair and crop dusting are important factors in determining aviation activities. The demand seems to be responsive to the location of the county as a tourist/recreational destination.

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Future of Airline Hubbed Networks: Some Policy Implications

Cited by 19 publications

References 8 publications

Theoretical Evidence of Existing Pitfalls in Measuring Hubbing Practices in Airline Networks

Theoretical Evidence of Existing Pitfalls in Measuring Hubbing Practices in Airline Networks

A hub covering model for cargo delivery systems

A model to forecast aircraft operations at general aviation airports

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