| People | Locations | Statistics |
|---|---|---|
| Serhiienko, Serhii |
| |
| Schmalz, Ulrike |
| |
| Oliveira, Marisa |
| |
| Ribeiro Pereira, Maria Teresa |
| |
| Bellér, Gábor |
| |
| Araujo, M. |
| |
| Frey, Michael | Karlsruhe |
|
| Coutinho-Rodrigues, João | Coimbra |
|
| Wouters, Christian Guillaume Louise | Aachen |
|
| Kessel, Paul J. Van Van |
| |
| Árpád, István |
| |
| Fontul, Simona |
| |
| Kocsis, Dénes |
| |
| Cigada, Alfredo | Milan |
|
| Oort, Neils Van | Delft |
|
| Agárdi, Anita | Miskolc |
|
| Andrews, Gordon E. |
| |
| Sousa, Nuno |
| |
| Witlox, Frank Jacomina Albert | Ghent |
|
| Dobruszkes, Frederic |
| |
| Kiss, Judit T. |
| |
| Hadachi, Amnir | Saint-Étienne-du-Rouvray |
|
| Hamilton, Carl J. | Kunovice |
|
| Misiura, Serhii |
| |
| Schimpf, Marina |
|
Schmalz, Ulrike
in Cooperation with on an Cooperation-Score of 37%
Topics
- COVID-19
- air travel
- aviation
- air traffic
- data
- simulation
- passenger
- vehicle occupant
- architecture
- supporting
- passenger volume
- prototype
- air shipment
- protection
- privacy
- transportation provider
- data protection
- aircraft
- industry
- ponding
- contaminant
- ownership
- flight
- design
- airport
- market
- travel
- face
- seat
- travel time
- revenue
- liquid
- hydrogen
- business model
- passenger service
- airline
- coalition
- technological innovation
- load factor
- rent
- airline alliance
- perception
- traveller
- drone
- assessment
- driver
- city
- taxicab
- traffic behavior
- platinum
- mode choice
- meta-analysis
- air taxi
- demand responsive transportation
- researcher
- traffic mode
- age
- employed
- data file
- rural area
- questionnaire
- transport market
- indicating instrument
- chain
- passenger demand
- bottleneck
- key performance indicator
- travel chain
- future mobility
- modeling
- computer science
- engineering
- impurity
- data analysis
- complex system
- multidisciplinary team
- transportation engineering
- driving
- behavior
- consumer
- stakeholder
- autonomous driving
- transit rider
- profit
- marketing
- expected value
- variable
- income
- regression analysis
- determinant
- education
- urbanisation
- air transport market
- gross domestic product
- definition
- show 65 more
Publications
- 2023Influence of COVID-19 on air travel - A scenario study toward future trusted aviation
- 2022SUPPORTING DOOR-TO-DOOR AIR TRAVEL: TOWARDS A PRIVACY PRESERVING VIRTUAL ASSISTANT FOR PASSENGERS
- 2021Door-to-door air travel: Exploring trends in corporate reports using text classification modelscitations
- 2021A BUSINESS MODEL ENABLING A PASSENGER-DISTANCE-IMPROVED LONG-HAUL NETWORK TO DECREASE TRANSPORT INEFFICIENCIES
- 2021Lessons Learned from a Two-Round Delphi-based Scenario Studycitations
- 2021Exploring trends, status of research and the impact of COVID-19: a mixed-methods approach
- 2021An explorative study of corporate travellers’ perception at a German airportcitations
- 2020Identifying Demand and Acceptance Drivers for User Friendly Urban Air Mobility Introductioncitations
- 2020A survey of German business air traveller
- 2020Door-to-door travel in 2035 – A Delphi studycitations
- 2019Characteristics of Potential User Groups of New Forms of Mobility Using the Example of Urban Air Mobility
- 2019Assessment of Passenger Requirements Along the Door-to-Door Travel Chaincitations
- 2018The European Air Transport System: A Methodological Perspective on System Dynamics Modeling
- 2018Assessment of Passenger Requirements Along the Door-to-Door Travel Chaincitations
- 2018Profiling Future Air Transport Passengers in Europe
- 2017Factors influencing European passenger demand for air transport
- 2012Open Societal Innovation: The Alemannic Definitioncitations
Places of action
article
Profiling Future Air Transport Passengers in Europe
Abstract
Gaining detailed insights into socio-economic characteristics and behaviour of air passengers constitutes a major benefit for stakeholders in the industry. Understanding passengers’ diverse expectations, requirements and needs can open up new revenue sources in the form of innovative products and services. Being the first mover can thus create a competitive advantage towards opponents. Market segmentation approaches help to identify key consumer groups, to design marketing strategies accordingly and maximise profits. Additionally to current passengers’ research, this paper applies an a priori technique to determine six future air passenger profiles for 2035, reflecting major developments faced by the European transport sector such as changing environmental awareness, increased use of information and communication technologies or disruptive developments like autonomous driving. Profiles enable differentiated insights into future passenger behaviour to derive implications for the transport sector.
Topics
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