scholarly journals A Comparative Analysis of Delay Propagation on Departure and Arrival Flights for a Chinese Case Study

Aerospace ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 212
Author(s):  
Zhe Zheng ◽  
Wenbin Wei ◽  
Minghua Hu
Keyword(s):  
Operation Time ◽  
Flight Delays ◽  
Related Factors ◽  
Delay Propagation ◽  
Time Performance ◽  
Buffer Time ◽  
Reduction Effect ◽  
Flight Delay ◽  
Convective Weather ◽  
The Impact

In recent years, flight delay costs the air transportation industry millions of dollars and has become a systematic problem. Understanding the behavior of flight delay is thus critical. This paper focuses on how flight delay is affected by operation-, time-, and weather-related factors. Different econometric models are developed to analyze departure and arrival delay. The results show that compared to departure delay, arrival delay is more likely to be affected by previous delays and the buffer effect. Block buffer presents a reduction effect seven times greater than turnaround buffer in terms of flight delays. Departure flights suffer more delays from convective weather than arrival flights. Convective weather at the destination airport for flight delay has a greater impact than at the original airport. In addition, sensitivity analysis of flight delays from an aircraft utilization perspective is conducted. We find that the effect of delay propagation on flight delay differs by aircraft utilization. This impact on departure delay is greater than the impact on arrival delay. In general, specific to the order of flights, the previous delay increases the impact on flight on-time performance as a flight flies a later leg. Buffer time has opposite effects on departure and arrival delay, with the order increasing. A decrease in buffer time with the order increasing, however, still has a greater reduction effect on departure delay than arrival delay. Specific to the number of flights operated by an aircraft, the more flights an aircraft flies in a day, the more the on-time performance of those flights will suffer from the previous delay and buffer time generally.

scholarly journals How Late Does Your Flight Depart? A Quantile Regression Approach for a Chinese Case Study

2020 ◽  
Vol 12 (24) ◽  
pp. 10553
Author(s):  
Zhe Zheng ◽  
Wenbin Wei ◽  
Bo Zou ◽  
Minghua Hu
Keyword(s):  
Least Square ◽  
Ordinary Least Square ◽  
Delay Propagation ◽  
Weather Information ◽  
Time Performance ◽  
Buffer Time ◽  
Aircraft Type ◽  
Main Components ◽  
Convective Weather ◽  
The Impact

Flight departure delays cost airlines and airports millions of dollars and become a systematic problem. The on-time performance at an airport is connected to and easily affected by delay propagation from previous operations of flights using the airport. In this paper, we employ both Ordinary Least Square (OLS) and quantile regressions to investigate the impact of various influencing factors on flight departure delay. By using historical flight records and weather information, the impacts of delay propagation-related and other factors are quantified to study the correlations between the explanatory and response variables. Three variables, including previous arrival delay, turnaround buffer time, and the first order of a day, are used to examine the propagation effects. We find that aircraft type, flying on a weekday, and being the first flight of a day have significant impacts on short departure delays. Ground buffer is conducive to mitigating delay propagation. For long delays, however, ground buffer cannot work in an efficient way, and the previous arrival effect is more important. Convective weather and aircraft type are the crucial factors in this situation. Interestingly, flying on a weekday suddenly becomes one of the main components under extreme delays. Meanwhile, propagated delay and airport congestion remain significantly impactful on the on-time performance.

scholarly journals AIRLINE SERVICE FAILURE AND RECOVERY: THE IMPACT OF RELATIONSHIP FACTORS ON CUSTOMER SATISFACTION

2016 ◽  
Vol 7 (2) ◽  
pp. 57-70
Author(s):  
Chi-Ruey Jeng
Keyword(s):  
Problem Solving ◽  
Service Failure ◽  
Service Recovery ◽  
Three Dimensions ◽  
Subjective Perception ◽  
Flight Delays ◽  
Subjective Perceptions ◽  
Service Failure And Recovery ◽  
Flight Delay ◽  
The Impact

In aviation industries, service failure during the service delivery process is foreseeable and leads to passenger complaints, which therefore presents the perfect opportunity for airlines to improve their service process and quality and examine their internal organization. Concurrently, the quality of the service recovery measures reflects the ability of airlines to respond to and handle traveler complaints. By rectifying service failures, airlines can enhance traveler satisfaction toward airlines services, thereby generating loyal customers who would engage in word-of-mouth marketing. This study aims to do examine the relationship between service failure, service recovery and passenger’s satisfaction with service recovery types, employee prompt handling, and service recovery efficiency. The questionnaires used in this study consisted of three sections: (1) Customers’ perception of the service recovery types; this section entails using passengers’ subjective perceptions to evaluate the service recovery types adopted by the airlines when handling flight delay situations. (2) Customers’ perception of the airlines employee’s prompt handling; the traveler’s subjective perception to evaluate the airlines employees’ direct responses to flight delays. (3) Customers’ perception of the problem-solving efficiency; this section involves using the passengers’ subjective perception to evaluate the overall flight delay recovery progress. The traveler characteristics were divided into ‘passenger attributes’ and ‘traveling attributes’ and their relationships with service recovery types, employee’s prompt handling, and problem solving efficiency were examined. The research results showed that passenger attributes demonstrated no significant differences with the three dimensions (i.e., service recovery types, employee’s prompt handling, and problem solving efficiency). However, concerning traveling attributes, ‘purpose of travel’ and ‘flight delay experience’ demonstrated significant differences with the threedimensions.

scholarly journals A Network Modelling Approach to Flight Delay Propagation: Some Empirical Evidence from China

2019 ◽  
Vol 11 (16) ◽  
pp. 4408 ◽  
Author(s):  
Weiwei Wu ◽  
Haoyu Zhang ◽  
Tao Feng ◽  
Frank Witlox
Keyword(s):  
Air Transport ◽  
Transport Networks ◽  
Network Modelling ◽  
Delay Propagation ◽  
Buffer Time ◽  
Air Transport Networks ◽  
Additional Costs ◽  
Airline Network ◽  
Flight Delay ◽  
Modelling Approach

This paper examines flight delay propagation in air transport networks. Delays add to additional costs, inefficiencies, and unsustainable development. An integrated flight-based susceptible-infected-susceptible (FSIS) model was developed to analyse the flight delay process from a network-based perspective. The probability of flight delay propagation was determined using a translog model. The model was applied to an airline network consisting of thirty-three routes involving three airlines. The results show that the propagation probability is network-related and varies across different routes. The variation is related to the flight frequencies at airports, route distances, scheduled buffer times, and the propagated delay time. Whereas buffer time has a greater impact on smaller airports, flight movement has a greater impact on larger airports. Having a better understanding of how delays happen can help the development of strategies to avoid them. This will lead to less costs, higher efficiencies, and more sustainable airport and airline development.

A Study On Impact Of Work Life Related Factors On Employee Engagement In Health Care Sector Workers In Dindigul District.

2019 ◽  
Vol 118 (7) ◽  
pp. 20-26
Author(s):  
S. JAYARAMAN ◽  
R. Sindhya ◽  
P. Vijiyalakshmi
Keyword(s):  
Health Care ◽  
Path Analysis ◽  
Employee Engagement ◽  
Health Care Workers ◽  
Health Care Sector ◽  
Work Life ◽  
Primary Data ◽  
Related Factors ◽  
Care Workers ◽  
The Impact

this research aims to find out the intensity of Employee Engagement of the health care sector workers and the relationship between the Work life factors and Employee Engagement of Health care sector workers in Dindigul District. Primary data were used in this research, were collected from 298 Health care workers from Dindigul District. Questionnaire was the major tool used to gather the primary data from the selected sample respondents. For this purpose, a well structured questionnaire was constructed with the help of professionals and the practiced employees of various health care units in Dindigul District. The health care employees were chosen by simple random sampling method. The investigative measures of regression Path analysis, and simple percentage analysis were utilized to find the impact of work life related factors with the Employee Engagement. The maximum Health care workers were generally satisfied with their jobs. The analytical procedure of path analysis multiple regressions was utilized to determine the predicting strength among Work life factors and the employee engagement. This study provides an another view about the importance of Work life factors and Employee engagement for organizational effectiveness and performance .

Case study: Prediction and field tests of railway noise and effects of a low-height noise barrier

2020 ◽  
Vol 68 (4) ◽  
pp. 303-314
Author(s):  
Yuna Park ◽  
Hyo-In Koh ◽  
University of Science and Technology, Transpo ◽  
University of Science and Technology, Transpo ◽  
University of Science and Technology, Transpo ◽  
...  
Keyword(s):  
High Speed ◽  
Field Tests ◽  
Residential Areas ◽  
Railway Systems ◽  
Railway Noise ◽  
Sound Levels ◽  
Noise Barrier ◽  
The Difference ◽  
Reduction Effect ◽  
The Impact

Railway noise is calculated to predict the impact of new or reconstructed railway tracks on nearby residential areas. The results are used to prepare adequate counter- measures, and the calculation results are directly related to the cost of the action plans. The calculated values were used to produce noise maps for each area of inter- est. The Schall 03 2012 is one of the most frequently used methods for the production of noise maps. The latest version was released in 2012 and uses various input para- meters associated with the latest rail vehicles and track systems in Germany. This version has not been sufficiently used in South Korea, and there is a lack of standard guidelines and a precise manual for Korean railway systems. Thus, it is not clear what input parameters will match specific local cases. This study investigates the modeling procedure for Korean railway systems and the differences between calcu- lated railway sound levels and measured values obtained using the Schall 03 2012 model. Depending on the location of sound receivers, the difference between the cal- culated and measured values was within approximately 4 dB for various train types. In the case of high-speed trains, the value was approximately 7 dB. A noise-reducing measure was also modeled. The noise reduction effect of a low-height noise barrier system was predicted and evaluated for operating railway sites within the frame- work of a national research project in Korea. The comparison of calculated and measured values showed differences within 2.5 dB.

scholarly journals Probabilistic Flight Delay Predictions Using Machine Learning and Applications to the Flight-to-Gate Assignment Problem

Aerospace ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 152
Author(s):  
Micha Zoutendijk ◽  
Mihaela Mitici
Keyword(s):  
Assignment Problem ◽  
Absolute Error ◽  
Aviation Industry ◽  
Probabilistic Forecasting ◽  
Flight Delays ◽  
Mixture Density ◽  
Assignment Model ◽  
Gate Assignment ◽  
Flight Delay ◽  
Delay Prediction

The problem of flight delay prediction is approached most often by predicting a delay class or value. However, the aviation industry can benefit greatly from probabilistic delay predictions on an individual flight basis, as these give insight into the uncertainty of the delay predictions. Therefore, in this study, two probabilistic forecasting algorithms, Mixture Density Networks and Random Forest regression, are applied to predict flight delays at a European airport. The algorithms estimate well the distribution of arrival and departure flight delays with a Mean Absolute Error of less than 15 min. To illustrate the utility of the estimated delay distributions, we integrate these probabilistic predictions into a probabilistic flight-to-gate assignment problem. The objective of this problem is to increase the robustness of flight-to-gate assignments. Considering probabilistic delay predictions, our proposed flight-to-gate assignment model reduces the number of conflicted aircraft by up to 74% when compared to a deterministic flight-to-gate assignment model. In general, the results illustrate the utility of considering probabilistic forecasting for robust airport operations’ optimization.

scholarly journals How Does Environmental Regulation Affect the Relationship between FDI and Technological Innovation: From the Perspective of Technology Transactions

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1264
Author(s):  
Meng Zeng ◽  
Lihang Liu ◽  
Fangyi Zhou ◽  
Yigui Xiao
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Pollutant Emissions ◽  
Regulatory Effect ◽  
Host Countries ◽  
Regional Heterogeneity ◽  
Industrial Sectors ◽  
Reduction Effect ◽  
The Impact ◽  
The Relationship

Many studies have found that FDI can reduce the pollutant emissions of host countries. At the same time, the intensity of environmental regulation would affect the emission reduction effect of FDI in the host country. This study aims to reveal the internal mechanisms of this effect. Specifically, this paper studies the impact of FDI on technological innovation in China’s industrial sectors from the perspective of technology transactions from 2001 to 2019, and then analyzes whether the intensity of environmental regulation can promote the relationship. Results indicate that FDI promotes technological innovation through technology transactions. In addition, it finds that the intensity of environmental regulation significantly positively moderates the relationship between FDI and technological innovation, which is achieved by positively moderating the FDI–technology transaction relationship. Regional heterogeneity analysis is further conducted, and results show that in the eastern and western regions of China, FDI can stimulate technological innovation within regional industrial sectors through technology trading. Moreover, environmental regulation has a significant positive regulatory effect on the above relationship, but these effects are not supported by evidence in the central region of China.

scholarly journals Water Influence on the Uniaxial Tensile Behavior of Polytetrafluoroethylene-Coated Glass Fiber Fabric

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 846
Author(s):  
Hastia Asadi ◽  
Joerg Uhlemann ◽  
Natalie Stranghoener ◽  
Mathias Ulbricht
Keyword(s):  
Mechanical Properties ◽  
Glass Fiber ◽  
Operation Time ◽  
Uniaxial Tensile ◽  
Membrane Structures ◽  
Strength Deterioration ◽  
Coated Glass ◽  
Reversible Loss ◽  
The Impact ◽  
Loss Of Strength

Polytetrafluoroethylene (PTFE)-coated glass fiber fabrics are used for long-lasting membrane structures due to their outstanding mechanical properties, chemical stabilities, and satisfying service life. During their operation time, different environmental impacts might influence their performance, especially regarding the mechanical properties. In this contribution, the impact of water on the tensile strength deterioration was assessed experimentally, providing evidence of considerable but partially reversible loss of strength by up to 20% among the various types of investigated industrially established fabrics.

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