In 2017, the newly installed Dutch government announced in its coalition agreement to introduce a distancebased heavy goods vehicle charge, similar to the charges levied in other European countries. To study the possible transport impacts, we applied available models and methods in preparation for the introduction of this truck charge in the Netherlands in 2023, in order to present decision information to the government on different aspects of the charge. In this paper we present the analysis of different implementation scenarios for a distancebased truck charge. Different behavioural responses can be expected in terms of freight transport demand, mode choice, logistic efficiency, and route choice. Many studies however lack sufficient detail to properly describe the
impact of road charges for HGV on OD flows and freight traffic. In our contribution we explore the bandwidth of impacts of different pricing schemes, using strategic transport models for freight demand and traffic assignment,
with detailed modal split and route choice models, ensuring a proper representation of generalsed transport costs. We explain how we use available transport models in an overarching analytical framework to make a
comprehensive impact assessment of the different responses, and to decompose the impacts on the different responses. Final impacts are quantified in terms of freight demand (spatial pattern of transport flows), modal split and traffic flows (route choice, and congestion).
Depending on the pricing scenario the tonne kilometres decrease by 0.4%–4.8% on average. The modal shift impacts are stronger on longer transport distances: this is explained both by the larger impact of a distance-based charge on these routes, and by higher substitution possibilities to barge or rail. The results indicate that the overall impacts of the introduction of the different charging alternatives are moderate. However, the network impacts at local level can be substantial due to the impact of re-routing of truck trips to avoid charge.@en

This paper analyzes one of the uncertainties defined for the Dutch long term strategic policy study “National market and capacity analysis.” The question asked was whether the upcoming of self-driving cars would impact the investment needs in the trunk road system for the years 2040 and beyond. The paper describes how the National Model System was adapted to do this analysis, how the scenarios were defined, and which results were obtained. The main lesson from this study is that a “naïve” exploration of this question, only assessing the first order effects on congestion, results in a large over-estimation of the reduction (or increase) in congestion. It is crucial to model mode, time of day and destination effects as well, since that will significantly reduce the first order effects on congestion.@en