| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
| |
| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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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
- drone
- assessment
- driver
- city
- taxicab
- traffic behavior
- platinum
- mode choice
- meta-analysis
- air taxi
- demand responsive transportation
- transport market
- indicating instrument
- chain
- passenger demand
- bottleneck
- key performance indicator
- travel chain
- future mobility
- transportation engineering
- modeling
- computer science
- engineering
- impurity
- data analysis
- complex system
- multidisciplinary team
- driving
- behavior
- consumer
- stakeholder
- autonomous driving
- transit rider
- profit
- marketing
- expected value
- variable
- income
- regression analysis
- determinant
- education
- rural area
- urbanisation
- air transport market
- gross domestic product
- show 56 more
Publications (11/11 displayed)
- 2023Influence of COVID-19 on air travel - A scenario study toward future trusted aviationcitations
- 2022SUPPORTING DOOR-TO-DOOR AIR TRAVEL: TOWARDS A PRIVACY PRESERVING VIRTUAL ASSISTANT FOR PASSENGERS
- 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
- 2021Door-to-door air travel: Exploring trends in corporate reports using text classification modelscitations
- 2020Identifying Demand and Acceptance Drivers for User Friendly Urban Air Mobility Introductioncitations
- 2019Assessment of Passenger Requirements Along the Door-to-Door Travel Chaincitations
- 2018Assessment of Passenger Requirements Along the Door-to-Door Travel Chaincitations
- 2018The European Air Transport System: A Methodological Perspective on System Dynamics Modeling
- 2018Profiling Future Air Transport Passengers in Europe
- 2017Factors influencing European passenger demand for air transport
Places of action
article
SUPPORTING DOOR-TO-DOOR AIR TRAVEL: TOWARDS A PRIVACY PRESERVING VIRTUAL ASSISTANT FOR PASSENGERS
Abstract
<jats:p>Seamless and personalised door-to-door air transport, supported by virtual assistants, has the potential to make air travel more convenient and profitable. However, processing passengers’ data comes with major privacy concerns. Commercial interests and functionalities need to be reconciled with data protection. Current concepts do not meet these requirements. Filling this gap, this paper conceptualises an architecture for a travel assistant that mediates between mobility and air transport providers as well as passengers while assuring privacy through local computation. The concept targets a time horizon of 10+ years and addresses steady growth of air passenger volume (post-Covid) with a technical solution that includes an open, modular platform. The proposed architecture can support business advantages like network effects, the improvement of passengers’ overall travel experience, and a new approach that ensures traveller’s privacy online. Further research and the development of a prototype are necessary for first simulations and implications.</jats:p>
Topics
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