Behavioral analysis of airline scheduled block time adjustment. (July 2017)

• Record Type: Journal Article
• Authors: Kang, Lei; Hansen, Mark
• Is Part Of: Transportation research. Volume 103(2017)
• Page Start: 56
• Page End: 68
• Publication Date: 2017-07
• Subjects: Scheduled block time -- Utility maximization -- Revealed preference -- Mixed logit model -- Marginal rate of substitution; Logistics -- Periodicals; Transportation -- Periodicals; 388.011
• DOI: 10.1016/j.tre.2017.04.004
• Languages: English
• ISSNs: 1366-5545

Abstract

Highlights: We analyze airline choices concerning adjustment of scheduled block time (SBT). Airlines are willing to increase SBT 1 min to increase on-time performance 2%. Airlines prefer to leave SBTs unchanged, and value earliness positively. Results allow prediction of how operational performance changes will affect SBTs. Abstract: Scheduled block time (SBT) is the time between gate departure and gate arrival assumed by airlines for use in published timetables and operations planning. SBT setting has critical impacts on airlines' operating cost and on-time performance. Air carriers regularly update their SBTs to respond to changing operating conditions and evolving business strategies. Most existing studies have focused on investigating the impact of SBT on on-time performance or predicting SBT based on historical performance and market characteristics. However, the dynamics of adjusting SBT, which may allow deeper understanding about the trade-offs airlines make between SBT and on-time performance, have been rarely studied. In this paper, we assume that SBT adjustment choices reveal preferences. Based on airlines' practice in setting SBT, hypothetical SBT scenarios and their corresponding on-time performance profiles are re-constructed to mimic the situations faced by airline schedulers. This enables us to infer how airlines trade-off between SBT, on-time arrivals, and earliness. By using correlated mixed logit models, we find that our five study airlines are willing to increase SBT from 0.38 to 0.54 min to increase on-time performance by 1%. We also find that both on-time performance and early arrival are valued by airlines, but the former is considerably more valuable. The estimated models can also be used to predict airlines' SBT adjustments in response to changes in operational performance.