Behavioral analysis of airline scheduled block time adjustment

Kang, Lei; Hansen, Mark

doi:10.1016/j.tre.2017.04.004

Cited by 36 publications

(18 citation statements)

References 19 publications

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“…Standard flight block times of every flight route are set by every airline company or air traffic management department half year in advance [2], [3]. There are updated annually on http://www.pre-flight.cn/ by CAAC.…”

Section: A Data Descriptionmentioning

confidence: 99%

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Assessment of Flight Block Time Reliability Under Different Delay Time Windows: A Case Study

Tian

Wang

et al. 2020

IEEE Access

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In transportation field, reliability is the probability of reaching the destination from the starting point within the expected time. While the concept of reliability, including travel time reliability model and its evaluation indicators have been extensively studied in ground transportation, they are relatively very scarce in air transportation. Flight block time reliability not only exert a strong influence on passenger behavior but also greatly affect aerodromes, airlines and air traffic management, thus affecting the entire air transportation. This paper proposes a methodology for evaluating the flight block time under different delay time windows. We applied the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) method to set windows which reflects different delays. We proposed a probabilistic model of flight block time based on a series system. A case study is performed to compare flight block time, flight air time, flight taxi-in time, and flight taxi-out time at different time reliability metrics with different delays. In particular, we found the best fit for each flight time segment of three delay time windows among nine well-known distribution functions to calculate the flight block time reliability indexes. Based on our analysis, we find that the reliability of delay time window 3 from 22:20-23:00 to be relatively less compared to the other delay time windows. The results from the reliability estimation demonstrate that the model is efficient in estimating the reliability of flight block time in different delay time windows. INDEX TERMS Flight operations, flight block time reliability, flight time distribution, DBSCAN, flight delay.

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Section: A Data Descriptionmentioning

confidence: 99%

“…SFBT is the difference between SIBT and SOBT and it is scheduled half year in advance [2], [3]. AFBT is the difference between AIBT and AOBT and have different values during each trip for the same flight route.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Flight Block Time Reliability Under Different Delay Time Windows: A Case Study

Tian

Wang

et al. 2020

IEEE Access

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“…e overall on-time arrival percentage for civil aviation increases by 25.5% when the scheduled block time is added 15 minutes [5]. After this research, Kang and Hansen [2] estimated a correlated mixed logit model in which the choice set consists of different possible standard SBTs adjustments and the attributes were the projected scheduled reliability metrics that would result from the adjustment. ey found that many airlines were willing to increase standard SBTs from 0.38 to 0.54 minutes to gain an increase in on-time performance of 1% by estimating the model for five different airlines in the United States.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is recognized that the factors affecting on-time performance could be mitigated by adjustments in standard scheduled block time (SBT), which is defined as the time interval between scheduled gate departure at the departure airport and scheduled gate arrival at the arrival airport for a given flight [1]. In principle, a higher on-time performance could be achieved by increasing the standard SBTs for these flights for airlines operating flights in highly congested or delay-prone conditions [2,3].…”

Section: Introductionmentioning

confidence: 99%

An Improved Whale Algorithm for Setting Standard Scheduled Block Time Based on the Airline Fairness

Wang

Tian

Lin

et al. 2020

Discrete Dynamics in Nature and Society

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Standard scheduled flight block time (SBT) setting is of great concern for Civil Aviation Administration of China (CAAC) and airlines in China. However, the standard scheduled flight block times are set in the form of on-site meetings in practice and current literature has not provided any efficient mathematical models to calculate the flight block times fairly among the airlines. The objective of this paper is to develop and solve a mathematical model for standard SBT setting with consideration of both fairness and reliability. We use whale optimization algorithm (WOA) and an improved version of the whale optimization algorithm (IWOA) to solve the SBT setting problem. A novel nonlinear update equation of convergence factor for random iterations is used in place of the original linear one in the proposed IWOA algorithm. Experimental results show that the suggested approach is effective, and IWOA performs better than WOA in the concerned problem, whose solutions are better compared to the flight block times released by CAAC. In particular, it is interesting to find that MSE, RMSE, MAE, MAPE and Theil of the reliability in 60%–70% range are always the smallest and the average fairness of airlines is better than that of 60%–75% range. The model and solving approach presented in this article have great potential to be applied by CAAC to determine the standard SBTs strategically.

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“…There are many studies in the literature on behavior analysis to better understand people. It has many indoor implementations such as museums [22], hospitals [23,24], shopping venues [25,26], and airports [27]. Researchers have collected data in different ways.…”

Section: Related Workmentioning

confidence: 99%

Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application

Doğan

Bayo-Monton

Fernández-Llatas

et al. 2019

Sensors

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The study presents some results of customer paths’ analysis in a shopping mall. Bluetooth-based technology is used to collect data. The event log containing spatiotemporal information is analyzed with process mining. Process mining is a technique that enables one to see the whole process contrary to data-centric methods. The use of process mining can provide a readily-understandable view of the customer paths. We installed iBeacon devices, a Bluetooth-based positioning system, in the shopping mall. During December 2017 and January and February 2018, close to 8000 customer data were captured. We aim to investigate customer behaviors regarding gender by using their paths. We can determine the gender of customers if they go to the men’s bathroom or women’s bathroom. Since the study has a comprehensive scope, we focused on male and female customers’ behaviors. This study shows that male and female customers have different behaviors. Their duration and paths, in general, are not similar. In addition, the study shows that the process mining technique is a viable way to analyze customer behavior using Bluetooth-based technology.

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Behavioral analysis of airline scheduled block time adjustment

Cited by 36 publications

References 19 publications

Assessment of Flight Block Time Reliability Under Different Delay Time Windows: A Case Study

Assessment of Flight Block Time Reliability Under Different Delay Time Windows: A Case Study

An Improved Whale Algorithm for Setting Standard Scheduled Block Time Based on the Airline Fairness

Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application

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