A statistical analysis of the potential impact of Boeing 737 MAX crashes on passenger behavior

There were two fatal air crashes in 2018 and 2019, Lion Air Flight 610 and Ethiopian Airlines Flight 302; aircraft type of both crashes was Boeing 737 MAX 8. In the aftermath of the two crashes, the Boeing 737 MAX 8 was grounded globally. According to the latest announcement of the Federal Aviation Administration (FAA), the MAX will be grounded until the summer of 2020. After the grounding, the MAX will return to the fleets of airlines in North America, such as American Airlines and Air Canada. However, will travelers accept this aircraft type as before? Or, to what extent travelers will avoid flying the MAX? The purpose of this thesis is to use statistical methods to quantify travelers' avoidance of MAX. Based on the booking data of American Airlines (AA) and Air Canada (AC), I use three metrics to measure travelers' attitudes, including bookings of the targeted flights, total daily bookings, and the proportions of bookings. The findings of the current study on two routes of AA and AC didn't reveal any statistically significant evidence of MAX avoidance on any of three key metrics. Accordingly, I concluded that the specific customer segment in this thesis didn't show a clear avoidance of MAX.

Name thesis:degree_name

Master

Department dc:contributor.department

Sloan School of Management

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Zhang, Zhe,S.M.Sloan School of Management.

Advisor dc:contributor.advisor

• Arnold I. Barnett.

• Sloan School of Management.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/127001

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127001