References of "TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailRobust Scheduling: An Empirical Study of Its Impact on Air Traffic Delays
Lonzius, Marc Christopher; Lange, Anne UL

in TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2017), 100

We develop an econometric model to analyze the real-life impact of two robust scheduling approaches, namely limiting hub connectivity and implementing swap opportunities, based on a broad dataset of the U ... [more ▼]

We develop an econometric model to analyze the real-life impact of two robust scheduling approaches, namely limiting hub connectivity and implementing swap opportunities, based on a broad dataset of the U.S. domestic market. Our analysis is from a novel aircraft routing perspective. We confirm a delay-driving effect of direct hub connectivity and a delay-reducing effect of swap opportunities. Indirect hub connectivity provides airlines with another approach to limit delays. We furthermore contrast that the business model of Southwest Airlines cannot leverage the delay-reducing effects resulting from swap opportunities. (C) 2017 Elsevier Ltd. All rights reserved. [less ▲]

Detailed reference viewed: 95 (4 UL)
Full Text
Peer Reviewed
See detailThe impact of hubbing concentration on flight delays within airline networks: An empirical analysis of the US domestic market
Baumgarten, Patrick; Malina, Robert; Lange, Anne UL

in TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2014), 66

This paper explores the relationship between hubbing activities and flight delays in the United States from an airline-specific network perspective. Airline hubbing is measured with the Hubbing ... [more ▼]

This paper explores the relationship between hubbing activities and flight delays in the United States from an airline-specific network perspective. Airline hubbing is measured with the Hubbing Concentration Index. We estimate the impact of hubbing behavior on delays, using three measures of delay, two based on delay against schedule, and the third based on buffer-corrected excess travel times. A significant (and positive) influence of hubbing concentration can only be found for the latter delay indicator. We conclude that airlines use buffer times to mitigate passenger-perceived delays against schedule that would, without buffers, arise from more complex network operations. (C) 2014 Elsevier Ltd. All rights reserved. [less ▲]

Detailed reference viewed: 101 (2 UL)