eprintid: 4075
rev_number: 5
eprint_status: archive
userid: 1
dir: disk0/00/00/40/75
datestamp: 2022-10-04 09:18:15
lastmod: 2022-10-04 09:18:15
status_changed: 2022-10-04 09:18:15
type: thesis
metadata_visibility: show
sword_depositor: 1
creators_name: Steele, James
creators_id: S3209210
creators_email: j.h.steele@student.rug.nl
title: Analysing the opinions of potential customers towards fully electric aircraft
ispublished: unpub
full_text_status: public
abstract: The aviation industry like many other sectors is grappling with the challenges of moving towards a more sustainable way of operating. At the same time smaller regional airports are often underutilised and missing out on flights to larger airports. One of the proposed solutions currently in development is that of fully electric aircraft. These aircraft would (initially) fly shorter distances than conventional aircraft and so have the potential to connect smaller airports which are currently not well served and as such offer few economic benefits to their surrounding areas. Potential customers views are evaluated to see whether they would intend to travel with such aircraft if and when they come into service. The theory of planned behaviour is used to analyse the factors behind these intentions along with questions about previous travel behaviour. The majority of respondents would indeed intend to use such aircraft and so this raises the prospect of fully electric aircraft connecting smaller cities going forward.
date: 2022
pages: 55
thesis_type: master
degree_programme: EG
tutors_name: Pot, F.J.
tutors_organization: Fac. Ruimtelijke wetenschappen, Basiseenheid Economische Geografie
tutors_email: F.J.Pot@rug.nl
security: public
keywords_local: Aviation
keywords_local: Regional development
keywords_local: Sustainability
language_iso: en
date_issued: 2022-10-02
citation:   Steele, James  (2022) Analysing the opinions of potential customers towards fully electric aircraft.  Master thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/4075/1/James%20Steele%20Master%20Thesis%20Final%20S3209210-compressed_1-compressed.pdf