Network analysis of EV charging infrasture in Amsterdam

Abstract

Road transportation has a share of one fifth in the total European (EU27) CO2 emissions. Passenger cars are responsible for around 12% of the European CO2 emissions (EEA, 2008). The use of Electric Vehicles (EVs) can reduce the emissions. However, the EV is not yet a successful alternative for internal combustion engine (ICE) powered cars. A dense charging infrastructure is needed to reduce range anxiety and can increase the adoption of EVs (Romm, 2006). For the implementation of an EV charging infrastructure cooperation between different actors in a network is essential. This resulted in the following research question. How does the network of the charging infrastructure of EVs in Amsterdam affect adoption of EVs in this city? Which is answered by measuring the network structure (Density, Stability, Centrality) and the strength of ties (Duration/Frequency, Trust & Openness, Contractual control and Scope) of the network related to the adoption of EV infrastructure in Amsterdam (Gilsing and Nooteboom, 2005). The results of this research suggest that the indicators density, stability, centrality, contractual control and scope have a positive effect on adoption. However, Trust & Openness could not be confirmed by the data.