Search

Because of its high working density and narrow space, apron becomes the collision accident prone area. The current collision risk assessment model does not consider human factors. To solve this problem, a dynamic assessment method of apron collision risk incorporating different human factors was proposed to quantitatively calculate the collision risk of apron operation. Based on this method, the simulation experiments were carried out in combination with the actual operation of the airport. The experimental results show that human factor is an important factor that cannot be ignored in the calculation of apron collision risk. The impact of work load on collision risk is greater than that of work experience. Taxiing aircraft can pose a greater threat to apron safety than launching aircraft. It is suggested that when the personnel work load is large, the appropriate extension of the safety distance is conducive to ensuring the safety of the apron operation. [ABSTRACT FROM AUTHOR]

Copyright of Science Technology & Engineering is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to better cope with the mass incidents caused by flight delays, airport, passenger and airline were taken as the game subjects of the mass incidents, their strategic choices in the mass incidents were clarified to analyze their influence mechanism on mass incidents. Then, based on the evolutionary game theory and replication dynamic equation, three two-party game models were constructed to analyze the passenger mass incidents caused by flight delays. In the two game models of airline and passenger, airport and passenger, in most cases, both players will adjust their strategies after several games, forming a circular closed game circle. In the analysis of game model of airport and airline, the prisoner's dilemma of nuclear strategy under contract was introduced, and the conclusion was drawn that both airport and airline will actively deal with passenger mass incidents at the same time. [ABSTRACT FROM AUTHOR]

In order to study the disposal strategy of passenger mass event caused by flight delay, the dynamic model of passenger satisfaction and the evaluation model of delayed service value were constructed, and an interactive questionnaire was designed to describe the moderating factors of service effect of different kinds of passengers. Also, experiments are designed to quantificationally simulate the variation of satisfaction of different kinds of passengers in the face of different disposal measures, the value of these delayed services was analysed. Then, the optimal combination of disposal strategies for airlines and airports during different delay times were determined, meanwhile, the mapping of this model from theory to practice is implemented. The simulation results show that with the increase of delay time, different disposal strategies will bring different control effects, so a reasonable disposal strategy can effectively improve passenger satisfaction and prevent and control passenger mass incidents. [ABSTRACT FROM AUTHOR]

To investigate air passengers' willingness to use intelligent facilities in airports, a total of 570 passengers were surveyed through three rounds of questionnaires combined with a technology acceptance model, and structural equation modeling was conducted on the sample data using statistical analysis software SPSS and AMOS, and the mediating effects of variables and the moderating effects of passenger attributes on the relationships of variables were verified. The results show that available awareness, perceived barriers to use, perceived health safety and security, and hedonic motivation are significantly related to passengers' perceived ease of use and perceived usefulness, and significantly influenced technology use intention through their mediating effects. Social influence and technology use habits are relatively insignificant influencing factors. The degree of influence of all the above six factors on the willingness to use for those with low education, low income and less frequent air travel is significant, the willingness to use for those who are young, have high education and more frequent air travel is strongly correlated with technology use habits, and the strong sensitivity factor for the elderly group is perceived health safety and security. [ABSTRACT FROM AUTHOR]

Copyright of Science Technology & Engineering is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to study the problem of departing flight recovery considering airline flight fairness, firstly, according to the historical data of an airport, the influence of uncertain factors on airport capacity was studied, and the influence of uncertain factors such as weather on the turnaround time during the flight recovery process was obtained through Bayesian network. Then, a multi-objective flight recovery scheduling model was constructed to minimize total delay time and determine the fairness of airlines based on the Gini coefficient. In addition, the disturbance of the uncertainty factor to the airport capacity and turnaround time was added to the model. Finally, the NSGA-Ⅱ algorithm was used to analyze the flight data of a domestic airport and compare it with the first come first service method. The results show that the total delay time is reduced by 37. 2%, the airline fairness is improved from 0. 440 to 0. 202, and the built model has better absorption performance of disturbance, which verifies the feasibility of the model and algorithm. [ABSTRACT FROM AUTHOR]

In order to study the optimal design of hierarchical air transportation network under the demand uncertainty. Based on the deterministic hierarchical transportation network model, the optimization objective was set to minimize the expected network operating cost under possible demand scenarios. A hierarchical network design model under demand uncertainty was proposed, and the solving method of O/ D routing in the network was also given. Taking the actual air transportation data of China in a certain year as an example, the performance of cost robustness of the transportation network obtained by the deterministic and uncertain hierarchical network design model under demand uncertainty was calculated and analyzed. The results show that the proposed model has a better cost robustness. [ABSTRACT FROM AUTHOR]

To provide passengers with a more flexible recovery plan after flight delays and meet their increasingly stringent requirements of the alignment rate, the implementation method of air-rail intermodal transportation to restore passenger itinerary was studied on the basis of intermodal transportation network. Firstly, the airline network and the high-speed rail network were coupled to construct a space-time topological network of air-rail intermodal transportation. A passenger itinerary recovery model was established with the goal of minimizing the sum of direct economic losses and passengers' psychological losses, and a passenger itinerary search algorithm was designed based on the network. The traditional recovery scheme was compared with the proposed method, the results show that the algorithm can realize efficient search of feasible itineraries, and the proposed recovery method can benefit both airlines and passengers, and reduce the delay loss of both parties. [ABSTRACT FROM AUTHOR]

When the information conditions of the crashed aircraft are default, locating the aircraft search area is extremely important to carry out the follow-up rescue work. In order to improve the positioning accuracy, through the relevant theory of the decision field, the pilot's emergency behavior decision-making during the forced landing process was analyzed, and an aircraft search range setting method that coupled the pilot's emergency behavior decision-making and flight dynamics was proposed. On this basis, the flight environment was established according to the meteorological and topographical conditions in the high plateau area. Taking the B737-700 model as an example, taking into account the differences in the pilot's decision-making results, the forced landing flight process of the aircraft with some default information conditions was simulated. The scope and priority of the search area were determined accordingly. The simulation results show that in the case of unstable factors or default information, the method of coupling the pilot's emergency behavior decision-making with the dynamic model is reliable. [ABSTRACT FROM AUTHOR]