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 language | English |
---|---|
Title of host publication | 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) |
Editors | Tan Kim Geok, Nurul Mu’azzah Abdul Latiff, Usman Ullah Sheikh |
Publisher | IEEE |
Pages | 279-284 |
Number of pages | 6 |
ISBN (Electronic) | 9798350316551 |
ISBN (Print) | 9798350316568 |
DOIs | |
Publication status | Published - 23 Jan 2024 |
Keywords
- rail-freight
- ridesharing
- aggregator
- transportation
- business model