This study aims to investigate the consumer acceptance of Vehicle-to-Grid (V2G) charging of electric vehicle (EV) drivers. To the best of the authors’ knowledge, this is the first V2G acceptance study that is based on actual users’ experience of V2G charging. A test set up with a V2G charge point at a solar carport was constructed at the Delft University of Technology. Seventeen participants in the study were given access to a V2G-compatible Nissan LEAF and the constructed V2G charging facilities, after which they were interviewed. Clear communication of the impacts of V2G charging cycles on EV batteries, financial compensation covering these impacts, real-time insight on the battery state-of-charge and the ability to set operational parameters through a user-friendly interface were all found to foster acceptance. The main barriers for acceptance were the uncertainty associated with battery state-of-charge, the increased need for planning charging and trips, the increased anxiety about the ability of the vehicle to reach its destination, economic and performance-related effects on the EV’s battery and the restriction of the freedom that users associated with their personal vehicles. The participants were found to be divided across high, conditional and low acceptance of V2G charging. The use of V2G charging over the trial period was found to inform their opinions: tangible factors such as range anxiety and the user interface were given more importance than abstract concepts such as lack of standards that were discussed by users without experience of V2G charging. Our study indicates that V2G charging in its current form is acceptable to a section of current EV users. The discussion provides insights on extending the relevance of our findings across other user groups and over further developments in the field.

This paper relates the cost-benefit analysis (CBA) results of transportation policy proposals in the Netherlands with the decision to implement or abandon the proposal. The aim of this study is to explore the relation between the CBA results and decision-making. Multinomial logit regression models and Latent Class Analysis are used in this paper as the statistical tools to identify associations between CBA results and decisions and to reveal unobservable classes underlying the CBA results and the decisions for projects. Analysis was carried out on 106 Netherlands CBA reports (2000–2012) containing 454 observations. Each observation is a CBA result of a transport project variant. In line with most of the international literature, this study cannot find a significant association between Net Present Values (NPVs) and the variants chosen in political decisions (after controlling for other relevant variables). However, a positive NPV does keep variants ‘pending’, preventing a negative decision.

This paper examines 42 business‐as‐usual (BAU) scenarios for future transport and traffic development in the Netherlands from the period 1970 to 2000. An important aspect of these scenarios is that they indicate the potential future state of the transport system if the policies in place at the time continue unchanged, thus raising issues which may require a policy response. This paper shows that in most of the important BAU transport scenario results of the past in the Netherlands, such as future car use and transport emissions, the policy makers were not misled. The prognoses for traffic congestion are an important exception as they underestimated the congestion problems that would arise. This paper shows that, based on the research it examines, BAU transport forecasting is an inaccurate practice. It is recommended that the BAU scenario designer communicates this high inaccuracy, enabling the policy maker to include the inherent future uncertainty in their decision‐making.

Weather is identified as one of many factors that influence the demand for cycling. Weather patterns will change due to expected climate change. The aim of this article is to study the extent to which climate change influences the cycling frequency. The analysis in this article is conducted using an econometric model based on data spanning over four years on weather indicators and the cycling frequency in the Norwegian city of Bodø, which is located north of the Arctic Circle. According to the projections for climate change, both temperature and quantity of precipitation are expected to increase in this area during the next century. An important consequence of changes in the climate in the studied region is the reduced duration of what can be characterised as the winter season. However, this consequence is highly uncertain. When using Norway’s middle projections for climate change by 2050, the analysis shows a moderate increase in cycling frequency of 6.2%. For the reduced winter period, the cycle rate might be two and three times higher in 2050 compared to the current level. Both estimates assume that every other potential impact on cycling rates remain equal.

The implementation of road pricing policies is dependent on political support for the policy. It is frequently argued that many pricing proposals fail to be implemented due to the opposition of one or a group of policy actors (e.g. political parties, interest groups). This study considers this issue and examines the reasons for non-implementation of proposals for Dutch road pricing policies by analysing the policy position changes of 26 major policy actors and the changes in consensus and conflict among these actors over a policy process of 16 years. The “Advocacy Coalition Framework” (ACF) is used as the theoretical lens. Our findings show that in the Netherlands non-implementation cannot be ascribed to only the opposition of one policy actor or to one group of policy actors, but rather to features of the Dutch political system/culture and complications peculiar to the road pricing subsystem (socio-cultural values related to mobility, complex design issues). We found that internal and external shocks, and policy-oriented learning affected the subsystem and alerted the power balance between pro-and anti-road pricing coalitions. However, these factors did not produce a major policy change, namely, the introduction of a road pricing scheme.