Data-driven causal behaviour modelling from trajectory data: A case for fare incentives in public transport

Behaviour modelling has been widely explored using both statistical and machine learning techniques, primarily relying on analyzing correlations to understand passenger responses under different conditions and scenarios. However, correlation alone does not imply causation. This paper introduces a da...

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Bibliografski detalji

Glavni autori:	Yuanyuan Wu, Alex Markham, Leizhen Wang, Liam Solus, Zhenliang Ma
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-01-01
Serija:	Journal of Public Transportation
Teme:	Causal behaviour modelling Smart card data Fare incentives Urban railway system
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1077291X24000341
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