Battery swapping technology has emerged as a promising alternative to conventional charging for electric bus fleets, offering rapid turnaround times and improved vehicle availability. This paper utilizes existing bus routing information to perform an initial site evaluation for battery swapping stations. A Seattle-based public transit agency—King County Metro, a partner on this project—is used as a case study. Using General Transit Feed Specification (GTFS) data from King County Metro, a MATLAB model was built to reconstruct blocks and layovers, extracts dwell-time opportunities, and performs block-distance and block-time analyses to understand operational rhythms. based bus model was developed that maps route mileage, efficiency, and layover availability for battery swap decisions, using a look-ahead rule that defers battery exchanges whenever the next feasible layover can still be reached while respecting a minimum state-of-charge. The workflow estimates how many swaps each block requires over a service day, the effective driving range a pack can deliver between swaps, and the spatial clustering of recurring layovers. This clustering, combined with assumed battery swapping time provides initial identification of suitable battery swapping station placement. Results indicate that swap windows naturally emerge from scheduled layovers, enabling a swapping system to be layered onto current service patterns, providing estimates for station sizing by corridor demand, and planned within existing operational constraints. The approach offers a practical template for transit agencies to assess technical and operational feasibility and to start planning right-sized battery swapping infrastructure.