Abstract:

Despite the considerable advancement of various technologies based on broadly defined digitalization, the phenomenon of electromobility remains a niche area, especially in terms of implementing new charging points in the human sphere. This is undoubtedly an area of human activity where crucial decisions are made regarding actions to reduce exhaust emissions, so crucial for future generations. Therefore, the phenomenon of electromobility, related to aspects of transport tasks, is linked to all issues related to the movement of people and goods using electric vehicles (EVs), which in turn depends on the deployment of EV charging points, which are part of the alternative fuel infrastructure.

At the current stage of electromobility development, the implementation of alternative fuels infrastructure is ongoing, closely linked to the TEN-T (Trans-European Transport Network), a process mandated by the AFIR (Regulation for the Deployment of Alternative Fuels Infrastructure). The AFIR regulation assumes the construction of infrastructure that should be adapted to serve electric vehicles within the TEN-T network, where one of its elements are charging points.

Given the importance of this growing phenomenon, it is crucial to demonstrate the potential for developing the aforementioned infrastructure for electric vehicles, but also to define areas where this development is hindered for various reasons. This prompted us to address data gaps in the area of electromobility, with particular emphasis on the location of charging points within the area of human activity.

The aim of this article was to interpolate the gaps in spatial data for electric vehicle charging points in the Republic of Poland. In this article, to demonstrate the gaps in spatial data, i.e., electric vehicle charging points, it was deemed appropriate to use the hypothesis that the spatial autocorrelation of electric vehicle charging points is related to the road layout and traffic density gradient in a given area.

During the research phase, spatial interpolation was conducted using GIS tools for electric vehicle charging points based on collected material and a proprietary inventory of charging points in Poland.