TY - GEN
T1 - A Blockchain Framework for On-Demand Intermodal Interlining
T2 - 2nd International Conference on Deep Learning, Big Data and Blockchain, Deep-BDB 2021
AU - Everan, Mary Rose
AU - McCann, Michael
AU - Cullen, Gary
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - International travel journeys, by their nature, incorporate elements provided by multiple service providers such as airlines, rail carriers, airports, and ground handlers. Data needs to be stored by and exchanged between these parties in the process of managing the journey. The fragmented nature of this shared management of mutual clients is a limiting factor in the development of a seamless, hassle-free, end-to-end, travel experience. Traditional interlining agreements attempt to facilitate many separate aspects of co-operation between service providers, typically between airlines and to some extent, intermodal travel operators, including schedules, fares, ticketing, through check-in and baggage handling. These arrangements rely on pre-agreement. The development of Virtual Interlining - that is, interlining facilitated by a third party (often but not always an airport) without formal pre-agreement by the airlines or rail carriers - demonstrates an underlying demand for a better quality end-to-end travel experience. Blockchain solutions are being explored in a number of industries and offer, at first sight, an immutable, single source of truth for this data, avoiding data conflicts and misinterpretation. Combined with Smart Contracts, they seemingly offer a more robust and dynamic platform for multi-stakeholder ventures, and even perhaps the ability to join and leave consortia dynamically. Applying blockchain to the intermodal interlining space – termed Blocklining in this paper - is complex and multi-faceted because of the many aspects of cooperation outlined above. An experimental approach to explore its potential is the basis for the author’s M.Sc. research, concentrating on one particular dimension, that of through baggage interlining to which this paper alludes.
AB - International travel journeys, by their nature, incorporate elements provided by multiple service providers such as airlines, rail carriers, airports, and ground handlers. Data needs to be stored by and exchanged between these parties in the process of managing the journey. The fragmented nature of this shared management of mutual clients is a limiting factor in the development of a seamless, hassle-free, end-to-end, travel experience. Traditional interlining agreements attempt to facilitate many separate aspects of co-operation between service providers, typically between airlines and to some extent, intermodal travel operators, including schedules, fares, ticketing, through check-in and baggage handling. These arrangements rely on pre-agreement. The development of Virtual Interlining - that is, interlining facilitated by a third party (often but not always an airport) without formal pre-agreement by the airlines or rail carriers - demonstrates an underlying demand for a better quality end-to-end travel experience. Blockchain solutions are being explored in a number of industries and offer, at first sight, an immutable, single source of truth for this data, avoiding data conflicts and misinterpretation. Combined with Smart Contracts, they seemingly offer a more robust and dynamic platform for multi-stakeholder ventures, and even perhaps the ability to join and leave consortia dynamically. Applying blockchain to the intermodal interlining space – termed Blocklining in this paper - is complex and multi-faceted because of the many aspects of cooperation outlined above. An experimental approach to explore its potential is the basis for the author’s M.Sc. research, concentrating on one particular dimension, that of through baggage interlining to which this paper alludes.
KW - Airport
KW - Aviation
KW - Baggage
KW - Blockchain
KW - Blocklining
KW - Consortium
KW - Data
KW - Interlining
KW - Intermodal
KW - Privacy
KW - Rail
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=85113520966&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-84337-3_4
DO - 10.1007/978-3-030-84337-3_4
M3 - Conference contribution
AN - SCOPUS:85113520966
SN - 9783030843366
T3 - Lecture Notes in Networks and Systems
SP - 41
EP - 52
BT - The International Conference on Deep Learning, Big Data and Blockchain, Deep-BDB 2021
A2 - Awan, Irfan
A2 - Benbernou, Salima
A2 - Younas, Muhammad
A2 - Aleksy, Markus
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 August 2021 through 25 August 2021
ER -