The willingness to pay of various types of bike parking-users at train stations for different types of facilities and stations

Bike-train usage contributes to more sustainable and also more reliable transport. Nowadays, approximately 45% of the train passengers in the Netherlands access the station by bike. Therewith, the focus of policy makers shifts to the total “door-to-door” travel experience. Bicycle usage is stimulated, and the facilities are adapted accordingly....

An artificial neural network based method to uncover the value-of-travel-time distribution

This study proposes a novel Artificial Neural Network (ANN) based method to derive the Value-of-Travel-Time (VTT) distribution. The strength of this method is that it is possible to uncover the VTT distribution (and its moments) without making assumptions about the shape of the distribution or the error terms, while being able to incorporate...

Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution

The Value-of-Travel-Time (VTT) expresses travel time gains into monetary benefits. In the field of transport, this measure plays a decisive role in the Cost-Benefit Analyses of transport policies and infrastructure projects as well as in travel demand modelling. Traditionally, theory-driven discrete choice models are used to infer the VTT...

Does the decision rule matter for large-scale transport models?

This paper is the first to study to what extent decision rules, embedded in disaggregate discrete choice models, matter for large-scale aggregate level mobility forecasts. Such large-scale forecasts are a crucial underpinning for many transport infrastructure investment decisions. We show, in the particular context of (linear-additive)...

Accounting for variation in choice set size in Random Regret Minimization models

This paper derives a trick to account for variation in choice set size in Random Regret Minimization (RRM) models. In many choice situations the choice set size varies across choice observations. As in RRM models regret level differences increase with increasing choice set size, not accounting for variation in choice set size results in RRM...