Towards the Hyper-Personalisation of Travel Itineraries – AI-Supported Virtual Interlining

The concept of virtual interlining and its effect on travel are introduced, discussed critically and conceptualised. Parallel to this, generative artificial intelligence (GenAI) is discussed within the context of virtual interlining, including early examples of early adoptions of this technology by online travel agencies (OTAs). Implications for practice, policy-making and scholarly research are outlined. It is posited that the full potential offered by virtual interlining platforms will require amendments to the existing legal framework affecting passenger rights so that it adopts a more holistic approach to multi-connection itineraries incorporating air and rail travel.

Authors

Publication Details

Journal
Journal of Travel Research
Published
2026-05-02
DOI
https://doi.org/10.1177/00472875261441846
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards the Hyper-Personalisation of Travel Itineraries – AI-Supported Virtual Interlining

Lázaro Florido‐Benítez, J. Andres Coca-Stefaniak
Journal of Travel Research
Recommender Systems and Techniques
article

Towards the Hyper-Personalisation of Travel Itineraries – AI-Supported Virtual Interlining

Lázaro Florido‐Benítez, J. Andres Coca-Stefaniak
article en

Abstract

The concept of virtual interlining and its effect on travel are introduced, discussed critically and conceptualised. Parallel to this, generative artificial intelligence (GenAI) is discussed within the context of virtual interlining, including early examples of early adoptions of this technology by online travel agencies (OTAs). Implications for practice, policy-making and scholarly research are outlined. It is posited that the full potential offered by virtual interlining platforms will require amendments to the existing legal framework affecting passenger rights so that it adopts a more holistic approach to multi-connection itineraries incorporating air and rail travel.

Journal of Travel Research
Openalex Percentile: Top 4%
Recommender Systems and Techniques
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