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Do supersaver tickets balance out transport utilization?

Supersaver tickets enjoy increasing popularity among customers. Using causal machine learning approaches, we estimate the effect of the supersaver tickets on demand shift from peak to underutilized off-peak hours.

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Projektart

Forschung

Beteiligte interne Organisationen

CC Mobilität

Finanzierung

Private / Stiftungen

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Beteiligte Personen intern

Projektleiter/in

Hannes Wallimann

Projektmitarbeiter/in

Bastian Gschwendtner
Sebastian Imhof
Tina Keller
Philipp Wegelin

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Beteiligte Personen extern

Externe Projektleiter/in

Martin Huber

Externe Projektmitarbeiter/in

Jonas Meier

Publikationen

Artikel, Rezension; peer reviewed (1)
- Huber, Martin; Meier, Jonas & Wallimann, Hannes (2022). Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets. Transportation Research Part B: Methodological, 163, 22-39.
Bericht/Working Paper (2)
- Huber, Martin; Meier, Jonas & Wallimann, Hannes (2021). Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets (arXiv Working Paper).
- Huber, Martin; Wallimann, Hannes & Meier, Jonas (2021). Assessing the Demand Effects of Discounts on Swiss Train Tickets (Bericht).
Sonstige Publikationsformate (1)
- Wallimann, Hannes (2021). Beeinflussen Sparbillette unser Reiseverhalten? https://hub.hslu.ch/business-psychology/beeinflussen-sparbillette-unser-reiseverhalten/

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Do supersaver tickets balance out transport utilization?

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Fakten

Beteiligte Personen intern

Beteiligte Personen extern

Publikationen

Artikel, Rezension; peer reviewed (1)

Bericht/Working Paper (2)

Sonstige Publikationsformate (1)