Temporary user-centred networks for transport systems

•We introduce Temporary User-Centred Networks (TUNs) for transport systems.•TUNs reveal circumstantial user-based collaboration opportunities in real-time.•TUNs materialise spatiotemporally dependent ties between users.•We define affinity measures to create TUNs: journey similarity and substitutabil...

Full description

Saved in:
Bibliographic Details
Published in:Transportation research. Part C, Emerging technologies Emerging technologies, 2016-01, Vol.62, p.55-69
Main Authors: Nunes, António A., Galvão Dias, Teresa, Zegras, Chris, Falcão e Cunha, João
Format: Article
Language:English
Subjects:
Affinity
Collaboration
Decisions
Enrichment
Intelligent transport systems
Journeys
Markets
Networks
Public transportation
Social networks
Spatiotemporal data
Transport
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•We introduce Temporary User-Centred Networks (TUNs) for transport systems.•TUNs reveal circumstantial user-based collaboration opportunities in real-time.•TUNs materialise spatiotemporally dependent ties between users.•We define affinity measures to create TUNs: journey similarity and substitutability.•We demonstrate and evaluate TUNs with an urban public transport system case study. The concept of Temporary User-Centred Networks (TUNs) for transport systems is introduced. Affinity in these networks is defined as the time-specific degree of equivalence between travel patterns of users in the system. TUNs reveal latent social structures typically invisible to their users, enabling circumstantial collaboration opportunities amongst them. To make TUNs explicit we quantify affinity as a combination of two measures: journey similarity and journey substitutability. In the urban public transport domain, TUNs enable the diffusion of knowledge across the system in real-time. This can assist passengers adjusting travel decisions to their preferences and objectives according to service status. An enriched Automated Fare Collection (AFC) system dataset is used to demonstrate the market potential of TUNs in the urban public transport domain.
ISSN:0968-090X
1879-2359
DOI:10.1016/j.trc.2015.11.006