A Blockchain Framework for On-Demand Intermodal Interlining: Blocklining

Mary Rose Everan, Michael McCann, Gary Cullen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationThe International Conference on Deep Learning, Big Data and Blockchain, Deep-BDB 2021
EditorsIrfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy
PublisherSpringer Science and Business Media Deutschland GmbH
Pages41-52
Number of pages12
ISBN (Print)9783030843366
DOIs
Publication statusPublished - 2022
Event2nd International Conference on Deep Learning, Big Data and Blockchain, Deep-BDB 2021 - Virtual, Online
Duration: 23 Aug 202125 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
Volume309
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference2nd International Conference on Deep Learning, Big Data and Blockchain, Deep-BDB 2021
CityVirtual, Online
Period23/08/2125/08/21

Keywords

  • Airport
  • Aviation
  • Baggage
  • Blockchain
  • Blocklining
  • Consortium
  • Data
  • Interlining
  • Intermodal
  • Privacy
  • Rail
  • Trust

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