| 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
A BUSINESS MODEL ENABLING A PASSENGER-DISTANCE-IMPROVED LONG-HAUL NETWORK TO DECREASE TRANSPORT INEFFICIENCIES
Abstract
The air transport system faces pressing challenges arising from CO2-emission reduction targets, fragmented passenger needs, and a highly competitive market environment. Aiming for a reduction of CO2-emissions in the long-haul sector, a holistic solution is suggested incorporating both operational and technological innovations in three areas: (1) changes in the air transport network structure, (2) (liquid) hydrogen as energy carrier, and (3) new aircraft and cabin design. To these ends, this paper focuses on the implications resulting from a passenger-distance improved air transport network. Demand pooling is proposed to enable higher load factors, offer more point-to-point connections for passengers, and generate new revenue sources for airlines. Based on a discussion of traditional airline business models, a seat exchange platform named “ShAirline” is proposed, allowing multiple providers to rent out cabin space. The underlying business model is evaluated considering implications for aircraft and cabin design, new passenger services, additional revenue opportunities, passenger journey times, required aircraft, as well as implications for airports. Findings indicate that the proposed seat exchange platform in conjunction with a change in aircraft ownership structure assist in removing inefficiencies across the current long-haul network and help offset barriers connected to the use of novel eco-efficient technologies.
Topics
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