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In this paper we propose a novel planning tool for Next Generation Optical Access (NGOA) networks, based on real street maps. A Geographical Information System-based tool was developed that uses OpenStreetMap (OSM) raw data to extract the network topology. Aiming to reduce the total network deployment costs in a greenfield scenario, we propose a heuristic clustering algorithm for the assignment of Optical Network Units (ONUs) to access network port and a scheme that exploits conduit sharing to find the optimum cable distribution for the working and protection paths. Our model is used to compare several variants of WDM-based NGOA system concepts with respect to their equipment, energy consumption and infrastructure costs.