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Free public transport to the destination: A causal analysis of tourists' travel mode choice
In this paper, we assess the impact of a fare-free public transport policy for overnight guests on travel mode choice to a Swiss tourism destination.
How to Use Data Science in Economics -- a Classroom Game Based on Cartel Detection
In the third part of the game, participants transition to the role of competition-authority members.
Austria's KlimaTicket: Assessing the short-term impact of a cheap nationwide travel pass on demand
Measures to reduce transport-related greenhouse gas emissions are of great importance to policy-makers.
On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement
In railway infrastructure, construction and maintenance is typically procured using competitive procedures such as auctions.
Do price reductions attract customers in urban public transport? A synthetic control approach
Furthermore, we propose an aggregate metric that inherits changes in public transport supply (e. g., frequency increases) to assess these demand effects, namely passenger trips per vehicle kilometre.
Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets
Considering a survey-based sample of buyers of supersaver tickets, we investigate which customer- or trip-related characteristics (including the discount rate) predict buying behavior, namely: booking a trip otherwise not realized by train, buying a first- rather than second-class ticket, or rescheduling a trip (e. g.\ away from rush hours) when being offered a supersaver ticket.
Detecting bid-rigging coalitions in different countries and auction formats
We propose an original application of screening methods using machine learning to detect collusive groups of firms in procurement auctions.
A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels
We propose a new method for flagging bid rigging, which is particularly useful for detecting incomplete bid-rigging cartels.
