Ridesharing in rail-freight transport and use of digital aggregator: prospects and difficulties – a developer’s perspective

Md Shakil Ahmed, Ravi Chandra Koirala, Keshav Dahal, Andrii Prokhorchenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The adoption of ridesharing principles, inspired by the Uber model, in road transport has presented a promising perspective for cost and time reduction. Particularly within the expanding urban transport networks, this concept has significantly enhanced passenger comfort. The implementation of an aggregator, a software program that gathers data from various sources and consolidates it based on user requirements or history, facilitates swift decision-making across different interfaces. This service model is employed in the context of rail-freight transport with ridesharing. The investigation aims to comprehend how an aggregator in rail-freight ridesharing can modernize freight operations, leading to cost and time savings and making the overall business model appealing to stakeholders.
Original languageEnglish
Title of host publication2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)
EditorsTan Kim Geok, Nurul Mu’azzah Abdul Latiff, Usman Ullah Sheikh
PublisherIEEE
Pages279-284
Number of pages6
ISBN (Electronic)9798350316551
ISBN (Print)9798350316568
DOIs
Publication statusPublished - 23 Jan 2024

Keywords

  • rail-freight
  • ridesharing
  • aggregator
  • transportation
  • business model

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