The market ramp-up of battery-electric trucks (BET) requires a nationwide, economically viable charging infrastructure. While expansion efforts often focus on rest areas offering megawatt charging (MCS) and lower-power overnight charging (NCS), land scarcity and excessive occupancy of parking spaces frequently act as binding constraints. This study develops a data-driven, geospatial siting methodology to identify public charging hubs in industrial and commercial zones as a complement to rest area charging in Germany. The tool integrates, on a spatial grid, logistics indicators, grid indicators, and traffic-side evidence from truck trips into a weighted multicriteria score with strict, economically motivated minimum requirements for proximity to both logistics and the power grid. In industrial zones, existing dwell and waiting times at logistics nodes can be repurposed as charging time; spatial proximity to demand reduces development risk and relieves pressure on rest areas. The evaluation yields clearly delineated hotspots in logistics-intensive regions, demonstrating their suitability for public charging hubs. The contribution is a transferable assessment framework for prioritizing sites beyond motorway rest areas in Germany and a robust basis for subsequent sitespecific design regarding capacity, service quality and costs.
