How can you encourage people to use charging infrastructure more efficiently? Can we identify and control people’s behaviour at all? Researchers are investigating the impact of external factors.
How do Dutch consumers think about electric vehicles? The Royal Dutch Touring Club, ANWB, did a survey for their electric driving monitor 2017. 38 Percent of Dutch consumers is interested in driving an electric vehicle. This monitor shows why consumers are (or aren’t) inclined to buy one.
In this study, an analysis is presented of visiting behaviour of clean and regular diesel taxis, in order to assess the effectiveness of the privilege scheme to attract more clean taxis. It aims to contribute to a better understanding of the effect of the priority measure at Amsterdam CS, and to provide input for policy makers to introduce incentives to stimulate clean taxis in cities.
How long do plug-in hybrids take to charge? Is recharging the plug-in the equivalent of a quick trip to the charger, or more of an overnight wait? The Amsterdam University of Applied Sciences did research on charging sessions at public chargers of G4 cities, and proved that even a small percentage of charging sessions over 24 hours causes an occupancy rate of 25% of public charging points.
The mass adoption of Electric Vehicles (EVs) might raise pressure on the power system, especially during peak hours. How to take pressure off the charging infrastructure and how can use of electricity be optimized? This study concludes that several different factors influence the charging of individual EVs based on real-world data of charging sessions in the Netherlands.
The Amsterdam University of Applied Sciences collaborated with municipalities of Amsterdam, Rotterdam, The Hague, Utrecht in developing a decision support tool representing the usage of charging infrastructure based on charging data. This tool supports 1. Demand driven expansion of charging infrastructure, 2. Detection of charging infrastructure bottlenecks, 3. Strategic expansion of charging infrastructure. This paper describes the design of the decision support tool and its DataWareHouse architecture.
In this project, pro-environmental self-identity is tested: consumers display more environmentally-friendly behaviour if they consider themselves to be environmentally-friendly. We will test how consumers can be encouraged to adopt environmentally-friendly behaviour by increasing their pro-environmental self-identity. Based on the results, business models will be developed to stimulate such behaviour.