Latest revision as of 21:35, 3 February 2021

Abstract

around 0:40 p.m. on May 27, 2016, an engine fire accident occurred at the c-runway of Tokyo International Airport.  Under the influence of this accident, 362 domestic flights going to arrive and depart in Tokyo International Airport were canceled, and totally 422 flights were affected. Moreover, it was reported that more than 70,000 air passengers were affected by the accident. The affected travelers were compelled to decide their subsequent correspondence. Someone canceled their trip instantly, someone kept waiting for resumption of flight operation, and someone changed transportation mode such as high speed rail to move to their destination.  Actually, there are no research investigating the travel behavior just after the continuing flight cancelation. Therefore, this study analyzing the behavior of travelers encountering the flight cancelation. There are no data for analyzing this aspect. Thus, an internet survey was conducted. The respondents were limited to the affected travelers by this engine fire accident. More than 400 respondents can answer the questionnaires.  In this study, the subsequent correspondence of the affected travelers was analyzed from the two aspects. One is willingness to continue their scheduled trip and the other is success or failure of trial to move to the scheduled destination on that day. The factors influencing the willingness was identified through the estimation of the discrete choice model and the factors influencing the result of the trial was also identified through the estimation of discrete choice model.

Original document

The different versions of the original document can be found in:

• https://master.grad.hr/cetra/ocs/public/conferences/3/CETRA_2014_Paper_Template.pdf under the license https://creativecommons.org/licenses/by

• http://master.grad.hr/cetra/ocs/public/conferences/5/pub-proceedings/837.pdf,

http://dx.doi.org/10.5592/co/cetra.2018.837 under the license cc-by

• https://master.grad.hr/cetra/ocs/index.php/cetra5/cetra2018/paper/view/837,

https://master.grad.hr/cetra/ocs/index.php/cetra5/cetra2018/paper/download/837/819,

https://academic.microsoft.com/#/detail/2884901735