Round-trip carsharing services, particularly when integrated with other transport options, have been proven to represent a viable means to mitigate the negative impacts of individual motorized traffic in dense urban areas. An increasing number of cities, therefore, aim to integrate carsharing with local public transport as an additional mobility option which promotes sustainable transport patterns. However, selecting appropriate sites for carsharing pods remains a difficult task for decision-makers since both integration with public transport as well as maximization of coverage of potential customers/market share have to be achieved. In this context, we present a GIS-based site-selection model that includes criteria from both the demand and the supply sides at the local level. On the demand side, the spatial distribution of demand is addressed by incorporating the spatial accessibility of local amenities and transport options, as well as socio-demographic and behavioural criteria. On the supply side, the key aspect is the integration of carsharing pods with public transport. Potential sites were assessed at the level of individual buildings, based on their proximity to public transport infrastructure, their centrality, and the residential locations of regular public transport users.